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SOC 15-1254
Web developers develop and implement websites, web applications, application databases, and interactive interfaces, check code structure and browser and device compatibility, improve performance, scalability, and server-side processes, and integrate other applications per the division of work. Delivery is more than a piece of code that displays; it also requires clear requirements, test expectations, change records, and the unverified scope.
Model impact index for three equally weighted representative core tasks; not a measured share of working time or a job-loss probability. floor((75+75+75)/3+0.5)=75; fermatmind-ai-impact-v1; 2026-10-18.
First use the W30 fictional quantity rule to work through each case, find the upper-bound boundary error, then fix the rule per Person A and add an independent sample per Person B. Observe whether you are willing to state expectations, record failures, and explain unknowns; a paper logic problem does not prove real development competence.Are you willing to record boundary conditions and clarify interfaces with design and back-end?
A career exploration suggestion; paper test cases do not certify security, compatibility, or release quality.
Are you willing to break user requirements into inputs, rules, and expected results?Willing to read requirements, verify input conditions, track failed cases, restate interface constraints, and keep reviewable documentation.
Web developers develop and implement websites, web applications, application databases, and interactive interfaces, check code structure and browser and device compatibility, improve performance, scalability, and server-side processes, and integrate other applications per the division of work. Delivery is more than a piece of code that displays; it also requires clear requirements, test expectations, change records, and the unverified scope.
Front-end implementation and back-end services are the internal task focuses, and both require reviewable requirements, code, and tests.
Career direction comparison
The first two rows compare the development internal lines, and the last four are fixed adjacent targets, verified by their goals, outputs, and responsibilities.
| Career direction | Core work and output | Key difference | Which choice fits better |
|---|---|---|---|
| Front-end implementation (internal line) | Implements interface interaction and interface integration. | Focuses on state code and device differences. | Willing to verify inputs and design agreements. |
| Back-end data (internal line) | Builds service frameworks and application data flows. | Focuses on service rules, not just the screen. | Willing to verify interface rules and failures. |
AI's impact on the occupation
Insufficient evidence: no task-level AI effect score or replacement-rate causal data for this detailed occupation was obtained. Drafts, the W30 problem logic, and real code testing are kept separate; the five-case 80% or Person A's 100% does not measure AI time saving, defects, or product security. AI Impact Score 75% is an editorial estimate. Model impact index for three equally weighted representative core tasks; not a measured share of working time or a job-loss probability. floor((75+75+75)/3+0.5)=75; fermatmind-ai-impact-v1; 2026-10-18.The three tasks, ratings and sources are listed in the FermatMind method source record on this page.
FermatMind AI Impact Score estimation method v1
FermatMind / 费马测试 · 2026-10-18
Editorial ratings use the existing occupational responsibilities and AI task analysis on this page. They are not adoption rates, measured effects, job-disappearance or personal-unemployment probabilities, or official scores from Stanford or another external institution. No measured time weights or future robot deployment are assumed.
Mainland China salary reference
Relevant front-end internship sample
China data scope
Insufficient evidence: this round actually read the Tianjin front-end internship daily rate and the other offer columns, and searched the MOHRSS 2025 national survey entry but the read timed out; the statistics bureau 2025 unit industry wages were read, but no comparable national percentiles for Chinese web development were obtained, and a single position or industry average is not used to fill it in.
The main text's daily rate is 150–200 yuan; other offers' periods and conditions are verified separately.
The national distribution is insufficient, and the internship-to-permanent column's unlisted period is not annualized.
U.S. salary reference
The 2025 US 15-1254 Web Developers median is 92650 USD / year and 44.54 USD / hour, a detailed separate employee wage, not the digital designer aggregate or Chinese net pay.
| Distribution position | 2025 annual and hourly wages | Coverage | Explanation |
|---|---|---|---|
| 10th percentile | 48100 USD/year; 23.12 USD/hour | Original table dual units; not a grade or take-home | The 10th percentile of 48100 USD / year and 23.12 USD / hour is a low position in the wage distribution, not a starting pay guarantee. |
| National median | 92650 USD/year; 44.54 USD/hour | Original table dual units; not a grade or take-home | The employee median, not personal net pay, the designer aggregate, or a Chinese offer. |
Career fit guide
Combine requirements understanding, code detail, test failures, continuous learning, and team communication; the six tests set no developer pass score.Can explain failures, admit unknowns, and keep revising; tests and confidence do not certify web development ability.
Worth experiencing further： Observe whether you are willing to clarify requirements before writing rules, and do not judge development talent from one piece of code that displays normally.
Check the real conditions first： Keep interest and learning separate from compensation; do not build an annual budget from an internship daily rate using a self-invented number of paid days, and first clarify other offers' periods.
Try a small experience first： Work through the W30 five cases, Person A's rule fix, and Person B's independent six cases, keeping inputs, expectations, actuals, and unknowns; the paper work is not called executed.
Work pressure, risks, and occupational boundaries
Verify source code and data use, real changes, salary period, position authority, and untested quality; code drafts and paper passing do not certify release.
Compiled from tasks, related recruitment, data protection, and general risk; it is not an accident rate or a personal score.
Typical scenario：Project source code is uploaded to an unverified service.
Main positions：Those involved in code delivery
Possible consequences：Data spreads beyond scope, and contributions are misattributed.
Reduce risk：Project source code, user data, and interface data require verified purpose, recipients, and permission; being able to access does not mean they may be uploaded publicly. Chinese network data handler protection follows Article 9 of the regulations, and NIST is only a general method; W30 is fictional numbers only.
Entry, certification, and career development
Start with requirements and basic rules and paper test cases, practice code in a lawful personal environment, take part in development and testing per the real division of work, and keep your own contribution, feedback, and the untested scope.
Career outlook and related occupation transitions
The US 15-1254 developer series grows 3.8% for 2025–2035, with 5300 average annual openings including replacements, not net growth or an individual hiring probability; the OOH4% is rounding.The four fixed neighbors are search marketing, systems analysis, network support, and computer support, each with its own tasks, and development experience does not automatically prove a transfer.
United States · U.S. 15-1254 precise developers
3.8%
Separate overall employment change
BLS projects employment for Web Developers 15-1254 to rise from 87.4 thousand in 2025 to 90.6 thousand in 2035, growth of 3.8%; the 5.3 thousand average annual openings include growth and replacements and do not equal a net increase of 5300 per year or a current number of open positions. The combined web development and digital interface design figures do not represent this separate occupation and cannot be split into an AI replacement rate or China's demand growth.
Develops website applications and database interaction code, verifies structure, compatibility, testing and updates, and documentation, and collaborates on interfaces, performance, and service processes per the division of work.
Marketing looks at queries and metrics, systems analysis looks at business integration, network support diagnoses and maintains existing networks, and computer support uses helping users with hardware and software as an example; each requires separate preparation.
Choose a real task from this page for a small practice project or a conversation with someone in the field. Use the planning guides to set a date, an output and feedback questions before deciding whether to continue.
Can you check code logic case by case and retain results that do not match expectations?If you only want to assemble a screen quickly and are unwilling to handle boundaries, failures, and collaboration agreements, first experience full code delivery.
Can you distinguish fixing code, expanding samples, and real product validation?Keep the W30 rule input card, the R0 five cases, Person A's fix and Person B's independent six cases, and the unknown reflection, and observe the willingness to learn and review.
Interface code, states, and integration records
Service code, interfaces, and test notes
US 15-1254.00 Web Developers covers website applications, databases, interactive interfaces, and code evaluation; the wage and projection use the developer separate series, without mixing in digital designers. Front-end handles interface technology and user input, and back-end handles service frameworks and data flows. Interface agreements and testing connect the two, and the position scope is verified by the division of work; W30 only works through the quantity rule.
| Dimension | Main directions | Comparison directions |
|---|---|---|
| Implementation goal | Turn user interaction into interface technology. | Make service rules and data flows conform to the agreement. |
| Input basis | Design files, states, interfaces, and device scope. | Business rules, interfaces, and data constraints. |
| Execution process | Write interface code, integrate, and check differences. | Implement services, tests, and documentation updates. |
| Work outputs | Reviewable interface code and interaction records. | Service code and data interface notes. |
| Quality responsibility | A screenshot does not replace states and cross-platform measurement. | Sample passing does not equal a security or scalability guarantee. |
| Collaboration relationships | Verify inputs and outputs with design and back-end. | Verify interface rules with the front-end requester. |
| Experience scope | W30 has no real web page or browser. | W30 has no real data or server. |
Analyze user needs and agreements.
Develop website applications and supporting code.
Develop databases and application connections per the division of work.
Verify structure, inputs, and device differences.
Record problems, revisions, and recovery preparation.
Explain technical factors and the untested scope.
Verify requirements, boundary inputs, expected versus actual differences, compatibility and performance, and permissions. W30 is only paper given cases and cannot support inferences about whole-site security or release readiness.
Writing supporting code, building and maintaining websites, developing databases, planning tests, backup and updates, and recording technical factors are the detailed ONet tasks.
Inputs include functional requirements, data and interface agreements, browser and device scope, performance limits, and update plans, and specific access permissions must be verified with the organization.
Front-end focuses on interface technical implementation, while back-end focuses on technical frameworks, services, and data; the two internal lines may be combined in one position.
Person A changes the upper-bound condition and rechecks the five cases; Person B independently keeps the R0 old rule and adds a negative F, without mixing this into one fix result.
| Search marketing strategists | Analyzes query intent and marketing metrics to optimize impressions; acquisition performance differs from code testing. | Acquisition performance differs from code testing. | Willing to build up metrics and experiments. |
|---|
| Computer systems analysts | Analyzes business application problems and integration options; the systems requirement scope is not a single implementation. | The systems requirement scope is not a single implementation. | Willing to build up requirements analysis and options. |
|---|
| Computer network support specialists | Diagnoses and tests existing network and connectivity problems; network maintenance differs from web application development. | Network maintenance differs from web application development. | Willing to build up network diagnostics preparation. |
|---|
| Computer support specialists | Uses user support as an example of helping with hardware and software problems; the target includes different support subfields. | The target includes different support subfields. | Willing to explain problems to help users. |
|---|
If you are willing to turn requirements into code and tests, continue the experience; turning to marketing, analysis, or support requires preparation for the target position.
Then look at how AI drafts take part in development and which results must be validated.
Generative tools can assist with explaining code, drafting test cases, and organizing document drafts, which is an editorial use suggestion; you still need to verify requirements, input conditions, actual execution, and the untested scope.
Insufficient evidence: no representative AI adoption, net time saving, rework defect, or replacement causality for the detailed web development occupation was obtained. The arXiv2507.09089v2 abstract was read: a randomized experiment in which 16 experienced open-source project developers completed 246 tasks found that allowing then-current AI increased completion time by 19%; the sample tools and period are specific, so this cannot be extrapolated to all web developers, and it is not asserted that no research exists. The full paper was not read.
BLS says AI and development tools may moderate combined developer and design employment growth; this page's 3.8% developer figure is a projection, not AI replacement or a net contribution.
| Work direction | Task | Current changes | Human control points |
|---|---|---|---|
| Requirements | Organize inputs and expectations | Can assist drafts | Check the integer 1 to 3 range including both ends of the requirement. |
| Code | Explain the R0 condition | Verified by you | Integer and 1<=q<3 omits the upper bound of 3. |
| Testing | Draft boundary cases | Not a substitute for measurement | Five fictional inputs worked through case by case rather than executed. |
| Revision | Person A fixes the upper bound | Editorial feedback | Changing to <=3 gives 5/5 on five cases, which is still not a security guarantee. |
| Sample | Person B independently adds a negative number | Scope change | The original R0 plus F-1 gives 5/6, with C still failing. |
| Collaboration | Record interfaces and feedback | Requires confirmation by people | Person A's rule fix and Person B's added sample are kept separate. |
| Career choice | Compare wage projections | Causality not quantified | 3.8% is not an AI contribution or a replacement rate. |
The five sources cover general risk, detailed task preparation, separate employment, and wage methods, and they are not five development AI experiments.
Development frameworks, code editors, automated testing, and generative AI are different tasks, and the ONet tool list does not prove this position's generative adoption rate.
What AI mainly changesAssisted effects were not quantified.
Still the person's responsibilityCheck requirements and review independently.
What AI mainly changesFive cases do not equal full security.
Still the person's responsibilityRecord failures, untested inputs, and the real validation scope.
What AI mainly changesA draft does not substitute for project confirmation.
Still the person's responsibilityVerify the data purpose and organizational permission.
The editorial suggestion is to verify code and data use and permission, keep the original inputs, independently assess the logic, record failures and unknowns, and then give feedback; this is not a complete development compliance process.
W30 is a paper quantity rule, not a real service report.
Use only fictional numbers and do not upload account or source code data.
Requirements, R0, and cases A to E are placed in separate columns.
Find the C failure and check Person A's five cases and Person B's six cases separately.
The ratio belongs only to the problem premise; real security, compatibility, and performance are unknown.
Unauthorized project source code is uploaded.
Control method:Verify the data purpose and recipients.
Real account and user data leak out.
Control method:Verified per organizational permission; exercises are fictional.
Paper work written as already measured.
Control method:Mark the difference between reasoning and actual execution.
Five consistent cases taken as full security.
Control method:Leave permission, compatibility, and performance untested.
3.8% taken as an AI contribution.
Control method:Verify the separate and combined figures and the causal scope.
Work through W30 case by case.
Mark real inputs and candidate ideas.
Distinguish sample results from untested quality.
Verify test quality, rework, and authority per project.
No; W30 has no real service, permission, compatibility, or performance testing.
Source:O*NET Web Developers 15-1254.00Original material ↗
The uses differ, and a tool list does not prove generative adoption.
Source:NIST AI600-1 generative risk profileOriginal material ↗
First verify the purpose, recipients, and permission; exercises use only fictional inputs.
Source:NIST AI600-1 generative risk profileOriginal material ↗
The ONet US Zone Three and detailed tasks support preparation observation and do not represent a unified Chinese entry requirement; a code draft cannot replace requirements understanding, actual programming, or testing ability.
Source:O*NET Web Developers 15-1254.00Original material ↗
No replacement-rate causality for this detailed occupation was obtained, as noted in the visible insufficient evidence; a specific open-source experiment abstract and the BLS combined outlook were read, and neither the experiment's time cost nor the 3.8% employment growth is treated as a replacement rate.
Source:BLS web development and digital design outlookOriginal material ↗
No; the regional coverage differs and the distribution does not measure causality.
Source:BLS OEWS methodOriginal material ↗
Requirement inputs, rules, failed cases, data permission, and the untested scope.
Source:NIST AI600-1 generative risk profileOriginal material ↗
Requirements, interfaces, data permissions, and release conditions are verified by the relevant people; the W30 five consistent cases cannot support inferences about whole-site security, compatibility, or release.
Internship and disclosure conditions
| Data subject | Actual disclosure | Explanation and limits |
|---|---|---|
| National wage | Insufficient data | No comparable national wage distribution was obtained, and a single position cannot be used to fill it in. |
| Internship body-text daily rate | 150–200 yuan/day | A related Tianjin internship sample for currently enrolled undergraduates expected to graduate in 2027. |
| Other quote columns | Period and applicable conditions to be verified | The internship column of 3000–4500 and permanent column of 8000–10000 yuan have no period written; first clarify the applicability conditions. |
| Posting education | Undergraduate enrolled sample is not a uniform requirement | The bachelor's degree and 2027 graduate conditions apply only to that internship position and are not a national threshold. |
The main text's 150–200 yuan/day coexists with other internship-to-permanent offer columns, and the applicability conditions require employer clarification; whether it is currently open has not been verified. The company's AI business does not prove this position's adoption, efficiency gain, or wage effect.
Verify the employing entity, internship or formal status, pay period, tax and bonus, paid hours, and actual duties item by item; a daily rate does not automatically equal a monthly wage.
Project contract receipts may include multiple people's labour and tool costs and are kept separate from employee wages; no uniform deduction ratio or number of paid days per year is set.
Verify internship or formal status, pay period, paid days, tax, bonus, overtime, and contract, and do not infer a stable monthly salary from a daily rate.
Insufficient evidence: no causal data showing AI independently changing Chinese web development wages was obtained. A company's AI product business, a specific open-source experiment, and a US employment projection are not evidence of this position's adoption or pay cuts.
| 90th percentile | 162290 USD/year; 78.03 USD/hour | Original table dual units; not a grade or take-home | The 90th percentile of 162290 USD / year and 78.03 USD / hour is a high position in the distribution, not a senior grade or a personal ceiling. |
|---|
Salary 10th percentile：48100 USD/year; 23.12 USD/hour；Not a starting-salary guarantee.
Salary 25th percentile：64230 USD/year; 30.88 USD/hour；Original table distribution.
Salary median：92650 USD/year; 44.54 USD/hour；Employees, not take-home.
Salary 75th percentile：126230 USD/year; 60.69 USD/hour；Not a seniority tier.
Salary 90th percentile：162290 USD/year; 78.03 USD/hour；Not a personal guarantee.
The annual and hourly figures take the original table's two units, without inferring individual annual hours, converting to a Chinese monthly salary, or using seniority percentiles.
OEWS normal-hours pre-tax employee wages exclude self-employed business receipts; service project amounts are verified separately, and EMP employment coverage is kept separate from wage coverage.
The five percentiles are not new-hire, supervisor, or senior grades, and the region, duties, and employer are verified separately.
Compare by status, region, duties, period, paid time, and contract scope, with employee wages kept separate from service receipts.
| Industry | Annual salary and range | How to understand |
|---|---|---|
| Information sector | 119940 USD/year | The information industry figure of 119940 USD / year is not a personal quote or a causal premium. |
| System design and related services | 88690 USD/year | The systems design and related services figure of 88690 USD / year is not extrapolated to every company. |
| Management, scientific, and technical consulting | 86690 USD/year | The management, scientific, and technical consulting figure of 86690 USD / year is not a Chinese project quote. |
| Self-employed (coverage note) | Statistics exclude the self-employed | Self-employed business receipts are not OEWS employee wages; costs and paid time are verified separately and not placed in industry wages. |
Verify the pay period, bonuses, overtime, and paid hours; a statistical annual figure does not guarantee pay all year.
The mix of front-end, back-end, database, and maintenance work is verified per position, and the software list does not set a unified skill stack.
Look at team support, work location, and study and living arrangements separately; wages cannot independently determine suitability.
87.4 thousand is about 87400 people.
3.8%, rounded to 4% in the OOH.
5.3 thousand, including replacements.
O*NET career interest baseline
Conventional · InvestigativeThe detailed ONet CI interests indicate orderly information, rules, and problem investigation, not individual hiring standards.
Observe the willingness to clarify inputs, read code, locate problems, and record results; interest and skill are verified separately.
Can CI determine development suitability?
Interest is a task lead, and the willingness to organize inputs by rule and investigate errors must be experienced.
Do not use it this way:Code does not equal actual skill.
Understand my career interestsWhich habits are worth observing?
Turn into behavior about recording tests on time, keeping versions, and admitting unknowns, with no hiring cutoff.
Do not use it this way:Verify prolonged sitting and detail work, continuous learning, collaboration hours, and problem pressure; specific Chinese hours and overtime are verified against the contract.
Understand my Big Five traitsCan preferences determine development positions?
Discuss independent thinking and interface communication arrangements; four-letter types cannot rank positions.
Do not use it this way:Do not infer ability from a type.
Understand my personality preferencesHow do you look at the motivation for choosing development?
Distinguish problem solving, technical learning, and income concerns; on failure, first check the specific fixable items and give no psychological label.
Do not use it this way:Do not diagnose yourself or others.
Understand my motivation cluesHow do you observe understanding of conditions?
W30 checks integers and upper and lower bounds case by case, locates errors before retrying, and does not use a general score as a hiring cutoff.
Do not use it this way:One correct calculation does not certify development.
Understand my cognitive performanceHow do you respond to unclear requirements?
First restate the inputs and expectations, then raise clarifying questions and explain unknowns; communication does not mean unconditional changes.
Do not use it this way:Real source code, accounts, and user data are handled per purpose and permission; W30 is paper numbers only and does not pose as security or release testing.
Understand my communication cluesBetter match:Willing to verify interaction inputs and interfaces.
Note:A screenshot does not equal state measurement.
Better match:Willing to verify service rules and data flows.
Note:Samples do not certify permission or security.
Better match:Willing to study query intent and metrics.
Note:Requires marketing experimentation.
View related occupations:Search marketing strategistsBetter match:Willing to analyze business applications and integration.
Note:Requires systems option preparation.
View related occupations:Computer systems analystsBetter match:Willing to check network connectivity and maintenance.
Note:Requires network diagnostics preparation.
View related occupations:Computer network support specialistsBetter match:Willing to help users with hardware and software.
Note:The user support example is not all subfields.
View related occupations:Computer support specialistsMemorizing syntax still requires verifying input boundaries; W30 separates requirements, rules, expectations, and results, so errors can be located rather than judging intelligence vaguely.
First separate whether the feedback fixes the implementation or adds cases: Person A changes the upper bound, and Person B independently keeps the R0 and adds F; a change in sample scope is not treated as a fix.
Keep the reason a position was not obtained as unknown, review your own code documentation and trainable gaps, and do not fabricate project execution or contributions.
Code can be a starting point, but you also need to experience requirements, testing, updates, and collaboration.
Keep preference and behavior separate; whether you can listen, question, and explain failures requires actual feedback.
No; actual execution and compatibility and performance require testing, and paper unknowns are not filled in.
List the hours you can accommodate, study, and life constraints; the specific position's hours and overtime are verified separately.
For W30, you can work through each case's conditions on paper, mark them as fictional, and access no accounts or online services.
Return to failure records and learning behavior, keep the contextual differences, and do not retest until you get a desired label.
Choose one foundational programming or testing exercise based on errors and interest, then verify the real position's code deliverable requirements.
Basis：NIST AI600-1 generative risk profile · Regulations on the Administration of Network Data Security No. 790
Typical scenario：Five consistent cases taken as whole-site security.
Main positions：Those involved in system changes
Possible consequences：Permission, performance, and compatibility are untested, and responsibility is misattributed.
Reduce risk：Real system changes, testing, and release follow permission and validation scope; passing five cases cannot serve as proof of whole-site security and compatibility.
Basis：BLS web development and digital design outlook
Typical scenario：Annualizing the daily rate by a self-chosen number of days.
Main positions：Those comparing position compensation
Possible consequences：Paid days, tax, and bonus are unknown, distorting the budget.
Reduce risk：The Tianjin internship daily rate coexists with other offer columns; first verify the period, status, and conditions, and do not infer a stable monthly salary from a self-invented number of days.
Basis：Hebei University of Technology posts a Tianjin front-end internship recruitment
Typical scenario：Applying an undergraduate sample or certificate to all development positions.
Main positions：Those preparing for Chinese positions
Possible consequences：Confusing handler obligations with personal authority.
Reduce risk：Chinese network data handlers take necessary protection measures; organizational responsibility is not a unified personal development licence, and position authority is verified separately.
Basis：Regulations on the Administration of Network Data Security No. 790
Typical scenario：A rule that omits the upper bound yet is claimed to pass everything.
Main positions：Those organizing code drafts
Possible consequences：Testing is distorted and guarantees beyond scope.
Reduce risk：AI does not fill in requirements or test results. Person A's upper-bound fix and Person B's independently added F ratios cannot be treated as a real revision or AI efficiency gain.
Basis：NIST AI600-1 generative risk profile · Regulations on the Administration of Network Data Security No. 790
Typical scenario：Passing off fictional reasoning as a real project.
Main positions：Those exploring this occupation
Possible consequences：Materials are distorted and preparation mismatched.
Reduce risk：Present your own rule and test reasoning truthfully, without fabricating real project execution; keep the reason a position was not obtained as unknown.
Basis：BLS web development and digital design outlook · Hebei University of Technology posts a Tianjin front-end internship recruitment
The Tianjin front-end internship posted 2026-08-27: bachelor's degree, 2027 graduate with related student status, hiring 2 people, HTML, CSS, and JavaScript fundamentals; proficiency in front-end frameworks such as Vue and actual project experience are preferred separately. Developing, testing, and maintaining under guidance. The main text gives 150–200 yuan/day, while the internship column of 3000–4500 yuan and the permanent column of 8000–10000 yuan have no period, tax, or bonus marked, and whether it is currently open has not been verified. The company's AI business is not this position's adoption rate.
| Entry directions | What you mainly do early on | Employer requirements and evidence to observe | How to demonstrate readiness without experience | How it differs from other directions |
|---|---|---|---|---|
| Front-end implementation preparation | Study inputs, states, interface code, and interfaces. | ONet supporting code and compatibility testing. | Submit the W30 inputs and test cases. | An internal focus, not a hiring grade. |
| Back-end data preparation | Study service rules and data flows. | ONet database and integration tasks. | Submit the rule and boundary notes. | Paper work does not prove real system security. |
| US education preparation | Verify the task and deliverable learning. | BLS education varies by setting. | List study and contribution truthfully. | Not a unified Chinese education requirement. |
| Tianjin front-end internship | Verify that position's status, major, and tools. | A sample for currently enrolled undergraduates expected to graduate in 2027. | Verify your own conditions against the original notice. | Open status is verified separately and is not a national threshold. |
| Team delivery preparation | Explain interface expectations and failures. | ONet communication and test documentation. | Explain the Person A and Person B differences and unknowns. | What was not done is not called already measured. |
The Tianjin single position's bachelor's degree, student status, and tool conditions, plus the main text's daily rate and other offers with no period, require clarification and are not a national standard.
Under W30, q=3 satisfies the requirement but is rejected by R0, giving 4/5 consistent cases; find the counterexample rather than deleting the failure.
Person A changes to <=3 and all five cases are consistent; Person B independently adds F-1 to the original rule, giving 5/6 with C still failing, which is not treated as a product result.
Deliverable contribution, execution records, submission requirements, and collaboration hours are verified per position, and paper work does not guarantee hiring.
Mark the fictional requirement of integers 1 to 3 including both endpoints, with R0 less than 3; list A0/B1/C3/D4/E2.5 and the five expectations, with the real service unknown.
List the expectation and the R0 result for each case, mark the C failure, note 4/5=80%, and do not delete the failure or call it measured.
Person A's <=3 gives 5/5 on five cases; Person B's original R0 plus F-1 gives 5/6 with C still failing, and the conditions and versions are marked separately.
Recorder trainee, intended reviewer simulated development and testing lead; list the requirement of integers 1 to 3, the original R0 less than 3, Person A's inclusion of the endpoint, and Person B's independent addition of F, with the results 4/5, 5/5, and 5/6 and the C status. List the unknown responsibility and your own contribution; not sent and not confirmed, and not called a client project.
| Scenario | What to check | How to observe | What cannot be inferred from this |
|---|---|---|---|
| Input | Verify the integer and inclusive-endpoint rule. | The requirement is 1 to 3; R0 is less than 3. | Purely fictional numbers. |
| Test cases | Verify the expectation and the logical result. | A0 rejected / B1 accepted / C3 accepted / D4 rejected / E2.5 rejected. | R0 has the C error; the rest are consistent. |
| Feedback | Person A fixes the rule; Person B independently expands the sample. | Person A gives 5/5; Person B's original R0 plus F-1 gives 5/6. | A paper ratio is not an actual efficiency gain. |
| Materials | Verify your own contribution and the boundaries. | Inputs, rules, and test notes are consistent. | Does not substitute for hiring qualifications or a real release. |
| Qualification / preparation item | Who it mainly suits | Its practical role in job seeking | Whether it is a general entry threshold | Application / processing conditions | Investment considerations | Important limitations |
|---|---|---|---|---|---|---|
| Education and systematic study | Those building a programming foundation | Study requirements, code, testing, and documentation. | US education requirements vary by setting. | Verify the conditions against the course and employer. | Actual time and cost are verified separately. | Not a unified Chinese education or hiring line. |
| The sample's student status condition | Those learning about the Tianjin internship | Judge the specific internship requirements. | Currently enrolled undergraduates in a related field, expected to graduate in 2027. | Open status and submission requirements are verified separately. | Prepare truthful materials once you match. | Do not apply it to all development positions. |
| Development and testing tools | Those learning web fundamentals | Master inputs, states, and checking. | HTML, CSS, JavaScript, and frameworks depend on the position. | Lawful personal learning materials. | Choose a specific weakness to train. | Software proficiency is not the whole of quality. |
| Certificates and use | Those considering course qualifications | Verify whether it corresponds to the target position. | Insufficient evidence: no basis for a unified statutory personal certificate entry requirement for this occupation in China was obtained in this round; verify per the actual jurisdiction and target position. | The notice's specific use is verified separately. | No uniform cost or duration is set. | A certificate does not guarantee hiring or authority. |
| Data handler responsibility | Those involved with network data | Clarify the purpose and necessary protection. | Handler obligations under the regulations, not a personal licence. | Organization, data type, and responsibility are verified. | Actual training and maintenance depend on the unit. | Does not substitute for a complete legal judgment. |
| Deliverables and project authority | Those preparing to present code | Verify contribution, source code, and public scope. | Per the actual data permission and contract. | Participation and test records are verified separately. | Fictional first, then real training. | W30 does not certify security, compatibility, or release. |
Paper-only requirement: accept only integer quantities q with 1<=q<=3. Accept or reject is the only result, with no real product payment involved. The R0 implemented rule: q is an integer and 1<=q<3. Five cases: A=0 expected reject, B=1 accept, C=3 accept, D=4 reject, E=2.5 reject.
Wrong draft: "All five R0 cases meet expectations, 100% pass, the system is fully secure and compatible, and it can be released directly."
First work through accept or reject for each case under R0, compare with the problem's expectations, and calculate consistent cases / total cases. Person A keeps the five cases and the requirement unchanged, fixes only the R0 upper-bound condition, rechecks, and withdraws the comprehensive guarantee.
Person B is an independent variant: keep the original R0 rule and A to E unchanged, add F=-1 expected to be rejected, work out the six-case consistency rate, and state whether the original error is resolved. Person B does not inherit Person A's fix.
The R0 gives reject, accept, reject, reject, reject in order, with only C differing from expectation, so 4/5=80%. Person A changes it to integer and 1<=q<=3, giving reject, accept, accept, reject, reject, so 5/5=100%; this is consistent only for the problem's five cases, and the security, compatibility, and release guarantees are withdrawn.
Person B uses the original R0, where F=-1 is rejected consistently with the expectation, while A to E are unchanged and C still fails, giving 5/6≈83.3%. The ratio change comes from one added case, not a fix, an AI efficiency gain, or full coverage; real execution, interface, permission, performance, and compatibility are all unknown.
Recorder: trainee; intended reviewer: simulated development and testing lead. The requirement accepts only integers with 1<=q<=3. The R0 is integer and 1<=q<3, and A0/B1/C3/D4/E2.5 expects reject, accept, accept, reject, reject; R0 actually gives reject, accept, reject, reject, reject on paper, with C failing, so 4/5=80%. Person A changes only to <=3 while keeping the five cases, giving 5/5=100%, and withdraws all security, compatibility, and release guarantees. Person B independently keeps the original R0 and the five cases, adds F=-1 expected to be rejected and rejected on paper, giving 5/6≈83.3% with C still failing; the ratio change comes from one added case, not a fix or an AI efficiency gain.
Unknowns: real execution, interface agreements, permissions, performance, device and browser compatibility, and conditions not given such as empty strings. These are to be verified by the actual development, testing, and data responsible persons within the project scope; this simulation was not sent and has no confirmation. Your contribution is the rule card, the case-by-case comparison, the Person A and Person B version notes, and the unknown reflection, all paper reasoning, with no real product payment, account data, or server, and is not called actual testing, security certification, or a release permission.
Transcribe the requirement R0 and the A to E expectations, and mark them as fictional.
Judge each by integer and range, without running the system.
List the C error and 4/5=80%, and withdraw all guarantees.
Change only to <=3 and recheck the five cases; 5/5 is not taken as full quality.
Independently, the original R0 plus F-1 gives 5/6 with C still failing.
Organize the rule card, the R0 five-case comparison, the Person A and Person B independent versions, and the complete simulated handover; list 4/5, 5/5, and 5/6 with the C status, the intended reviewer, the unknown responsibility, and your own contribution; not sent and not confirmed.
Answer the seven questions, choose one programming or testing study, and do not certify employment.
Typical responsibilities：Do the W30 five cases.
Promotion evidence：The C failure and 80% are verifiable.
Qualification boundary：Not a real execution.
Next step：Study input states.
Typical responsibilities：Write interface code within scope.
Promotion evidence：The contribution and testing are truthful.
Qualification boundary：Source code permission is verified separately.
Next step：Study basic interfaces.
Typical responsibilities：Track feedback and states.
Promotion evidence：Version differences are clear.
Qualification boundary：Do not invent actual results.
Next step：Build up interface integration.
Typical responsibilities：Deepen through real outputs.
Promotion evidence：Real compatibility records.
Qualification boundary：Management and design are verified separately.
Next step：Build up the target skills.
Typical responsibilities：List conditions and unknowns.
Promotion evidence：The Person A and Person B boundaries are clear.
Qualification boundary：Not a real service.
Next step：Study rule expression.
Typical responsibilities：Verify interface expectations.
Promotion evidence：Your own test records.
Qualification boundary：Data permission is verified separately.
Next step：Study basic services.
Typical responsibilities：Track failures and revisions.
Promotion evidence：Execution feedback is truthful.
Qualification boundary：Untested means unguaranteed.
Next step：Build up data documentation.
Typical responsibilities：Confirm status, duties, and hours.
Promotion evidence：Keep known and unknown separate.
Qualification boundary：A single position is not national.
Next step：Build up the specific weakness.
Typical responsibilities：List your own code and testing contributions.
Promotion evidence：Inputs and revisions match.
Qualification boundary：Fictional work is not called a project.
Next step：Study tool fundamentals.
Typical responsibilities：Explain interfaces and failures.
Promotion evidence：Feedback records are truthful.
Qualification boundary：Data use is verified separately.
Next step：Build up technical communication.
Verify inputs, expectations, and data boundaries.
Implement per the conditions and record failures.
Keep version updates and untested notes.
Expand through real outputs; no automatic transfer.
Cannot show：A separate developer projection, not AI causality or Chinese job counts.
Chinese network data protection · Data processing entity, not occupation statistics
Necessary protective measures
Data processor entity obligations
Chinese data protection supports handlers' responsibility for necessary measures and is not job growth, wages, or a personal development licence.
Cannot show：Data handler responsibility, not job expansion or a personal licence.
Chinese Tianjin front-end internship · A specific posting, not a national sample
Undergraduate enrollment and tool requirements; body text 150–200 yuan/day
Relevant internship posting conditions
The Tianjin 2026-08-27 front-end internship sample lists student status, major, tools, and a daily rate, with other offers' periods pending verification; whether it is currently open has not been verified, and it is not a national survey or widespread AI adoption.
Cannot show：The related single internship position's open status is verified separately and does not represent national demand.
These are ability-adjacency relations; they do not mean automatic promotion or no further study needed.
Transferable：Requirement communication can help marketing collaboration.
To be supplemented：Build up intent, metrics, and experiments.
View occupation detailsTransferable：Technical documentation can help systems discussions.
To be supplemented：Build up business requirements and integration options.
View occupation detailsTransferable：Problem records can help network troubleshooting.
To be supplemented：Build up network diagnostics and maintenance.
View occupation detailsTransferable：Technical explanation can help user service.
To be supplemented：Build up hardware and software diagnostics and communication.
View occupation detailsTransferable：Requirement discussions can help marketing collaboration.
To be supplemented：Build up queries, metrics, and experiments.
View occupation detailsTransferable：Interface documentation can help systems discussions.
To be supplemented：Build up business option preparation.
View occupation detailsTransferable：Failure explanations can help network troubleshooting.
To be supplemented：Build up network testing and maintenance.
View occupation detailsTransferable：Error records can help user assistance.
To be supplemented：Build up diagnostics and service preparation.
View occupation detailsThe W30 paper requirement is integers 1 to 3; R0 being less than 3 misses C=3, giving 4/5 on five cases; Person A's rule fix gives 5/5, and Person B's independent addition of the negative F gives 5/6 with C still failing, without running the service.
US education varies by position, and the Tianjin bachelor's degree and 2027 graduate student status are conditions only for that internship; no unified statutory personal developer certificate in China has been substantiated, and tools and certificates do not replace skill or authority.
The abstract of an experiment with 16 experienced open-source developers completing 246 tasks was read, in which allowing then-current AI increased time by 19%; the specific sample cannot serve as this occupation's replacement rate or a general efficiency gain, and the BLS combined outlook uses a different basis. The full paper was not read.
No; the 2025 US separate median of 92650 USD per year and 44.54 USD per hour has different coverage; the Tianjin internship daily rate of 150–200 yuan is not annualized on your own, and other offers' periods require clarification.
Source code and data purpose, real system permissions, testing scope, pay period, and paid days; five consistent examples cannot guarantee safety, compatibility, or release.
Look at requirement rules, failure checking, recorded documentation, and willingness to learn collaboratively; CI is a clue, and no test-based hiring score is set.
W30 rule card, R0 comparison, Person A revising the rules and Person B independently adding F, complete simulated handover reflection; list the C status of the three result versions, the prospective reviewer, the unknown responsibility, and one's own paper contribution. Not sent and not confirmed, so it is not called a real project or test.
For actual projects, development, testing, and the responsible parties confirm runtime coverage and permissions, and AI cannot fill in results; on paper only the integer and range of the problem setup are judged.
FermatMind career content editor
2026-10-03 verification reading and local organization; the original source dates and the reuse scope of the same batch are listed separately
Precise ONet and BLS developer materials, the Tianjin internship sample, and data protection; W30 editorial fictional rules.
Usage limits：Reuse the precise adjacent-occupation definition and all tasks read in the same batch and same day as 1028/1029; prepare independently, and do not certify a transfer with development works; user support serves as a fixed support-target subdivision example.
Usage limits：Reuse the precise adjacent-occupation definition and all tasks read in the same batch and same day as 1028/1029; prepare independently, and do not certify a transfer with development works; user support serves as a fixed support-target subdivision example.
Usage limits：Keep clear of the OOH rounded 4%; this is not the designer total or an AI causal effect.
Usage limits：Reuse the related provisions of Articles 2 and 8–19 of the Regulations read in the same batch and same day as 1028; Article 9's necessary protection and Article 11's emergency response are entity obligations, not a unified personal license or a complete list of laws.
Usage limits：A paper logic walkthrough; it does not prove real code execution, safety, compatibility, or AI efficiency gains.
Usage limits：Quotes in different columns and their applicable conditions need clarification; do not reconcile by working days, annualize, or treat as a national wage on one's own; enterprise AI business is not this occupation's adoption rate.
Usage limits：This round actually read the 15-1231 definition and 26 tasks; network support prepares independently, and application errors do not establish full network diagnostic ability.
Usage limits：Unit industry background does not substitute for the national web developer wage; the 2025 MOHRSS enterprise pay survey entry is visible in search but this reading of the body text timed out, so it is not claimed that the survey does not exist.
Usage limits：Reuse the 600-1 related risks and MEASURE passages read in the same batch and same day as 1021; it is only a general method, not Chinese law or an AI effect experiment for this occupation.
Usage limits：Reuse the OEWS FAQ C6/D2—D4 read in the same batch and same day as 1014; the employee method does not measure China or AI effects, and individual hours are not annualized.
Usage limits：U.S. task preparation is not a uniform Chinese requirement, and the software list does not prove AI adoption.
Usage limits：Read only the abstract, not the 51-page full text; a specific experience, project, tool, and time period, not web developers' representative adoption, wage, or replacement rate.
Usage limits：Employee distribution, not seniority grades, self-employed receipts, or Chinese pay.
Usage limits：Quotes in different columns and their applicable conditions need clarification; do not reconcile by working days, annualize, or treat as a national wage on one's own; enterprise AI business is not this occupation's adoption rate.
Usage limits：U.S. task preparation is not a uniform Chinese requirement, and the software list does not prove AI adoption.
Usage limits：Reuse the related provisions of Articles 2 and 8–19 of the Regulations read in the same batch and same day as 1028; Article 9's necessary protection and Article 11's emergency response are entity obligations, not a unified personal license or a complete list of laws.
Usage limits：U.S. task preparation is not a uniform Chinese requirement, and the software list does not prove AI adoption.
Usage limits：Reuse the related provisions of Articles 2 and 8–19 of the Regulations read in the same batch and same day as 1028; Article 9's necessary protection and Article 11's emergency response are entity obligations, not a unified personal license or a complete list of laws.
Usage limits：Reuse the precise adjacent-occupation definition and all tasks read in the same batch and same day as 1028/1029; prepare independently, and do not certify a transfer with development works; user support serves as a fixed support-target subdivision example.
Usage limits：U.S. task preparation is not a uniform Chinese requirement, and the software list does not prove AI adoption.
Usage limits：U.S. task preparation is not a uniform Chinese requirement, and the software list does not prove AI adoption.
Usage limits：U.S. task preparation is not a uniform Chinese requirement, and the software list does not prove AI adoption.
Usage limits：Reuse the OEWS FAQ C6/D2—D4 read in the same batch and same day as 1014; the employee method does not measure China or AI effects, and individual hours are not annualized.
Usage limits：U.S. task preparation is not a uniform Chinese requirement, and the software list does not prove AI adoption.
Usage limits：The combined 5% and 13600 openings are not used as the developer's separate 3.8% and 5300, and are not an AI replacement rate.
Usage limits：Employee distribution, not seniority grades, self-employed receipts, or Chinese pay.
Usage limits：Reuse the OEWS FAQ C6/D2—D4 read in the same batch and same day as 1014; the employee method does not measure China or AI effects, and individual hours are not annualized.
Usage limits：Reuse the related provisions of Articles 2 and 8–19 of the Regulations read in the same batch and same day as 1028; Article 9's necessary protection and Article 11's emergency response are entity obligations, not a unified personal license or a complete list of laws.
Usage limits：A paper logic walkthrough; it does not prove real code execution, safety, compatibility, or AI efficiency gains.
Usage limits：Editorial ratings use the existing occupational responsibilities and AI task analysis on this page. They are not adoption rates, measured effects, job-disappearance or personal-unemployment probabilities, or official scores from Stanford or another external institution. No measured time weights or future robot deployment are assumed.
The quote period and status are verified separately; a single posting is not national; the paper walkthrough is not called real operation or product certification. The precise developer 15-1254 wage and employment are kept separate from the design total; the original wage's annual and hourly dual units are not converted by rank or into a Chinese monthly salary. The Chinese internship daily rate is kept separate from the other quotes whose period is not listed; currently open and to be verified separately, and an insufficient national distribution is not filled in. Educational sample conditions, organizational data responsibility, source code contribution, and project permissions are each checked separately. W30 is only a paper case walkthrough; Person A revises the rules and Person B independently adds samples; the ratio does not certify safety, compatibility, launch, or AI effect.
MBTI (English) · Big Five (English) · MBTI (Chinese) · Big Five (Chinese)
Exercises use only fictional numbers, with no accounts, URLs, or real data. Real projects follow organizational responsibility and permission.
Computer work requires attention to detail, continuous learning, and team communication; the US hours survey is not a Chinese hours requirement, and W30 does not access real accounts or systems.
Typical responsibilities：Understand real coverage.
Promotion evidence：The quality scope is clear.
Qualification boundary：Security requires specific evidence.
Next step：Build up specialized learning.
Typical responsibilities：Deepen your specialty or an adjacent target.
Promotion evidence：Evidence of real ability.
Qualification boundary：A transfer requires separate preparation.
Next step：Verify the target task.
