Software developer Software Developers
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Software engineer positions overall will not be eliminated by AI, but entry-level coding and testing roles will be significantly reduced; developers proficient in AI tools will see greatly increased output and competitiveness, creating a two-tier divide.
More exposed than about 76% of occupations (percentile; higher = more exposed to AI)
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Replaces some coding tasks of software engineers, such as auto-generating repetitive code, function templates, and unit tests, but requires manual review and debugging.
- Writing boilerplate code and standard CRUD interfaces
- Writing basic unit tests and regression tests
- Simple bug identification and fixing (e.g., null pointers, type errors).
- Code formatting and documentation comment generation
- Generate simple function implementations from natural language descriptions
- Using AI assistants like Copilot to improve coding speed and quality
- Utilise AI for code review, security vulnerability scanning and suggestions.
- Rapid Prototyping and Architecture Generation with AI
- Automating test generation and coverage analysis with AI
- Quickly locate issues using AI-assisted debugging and log analysis
- Complex system architecture design and technology selection
- Cross-team communication, requirements analysis, and business understanding
- Innovative algorithm development and optimization
- Ability to handle ambiguous, unstructured problems
- Ethical decision-making, safety compliance responsibility
- AI/ML basics and model fine-tuning skills
- Prompt Engineering and AI tool integration
- Cloud-native architecture (Kubernetes, Serverless)
- System design and architectural patterns
- Data analysis and experimental design
- Cross-functional collaboration and product thinking
Entry-level roles such as basic coding, unit testing, and simple bug fixing are replaced by AI, reducing demand for junior engineers; but the entry threshold for understanding business, system design, and complex debugging has not lowered—instead, a stronger foundation is needed.
Transitioning from pure coder to 'AI + full-stack' engineer: Deeply mastering AI toolchains, integrating AI into development pipelines; while strengthening system design, domain knowledge, and soft skills to become an 'AI-enhanced architect' who can define problems and design solutions
Local data by country
Ratings · Overall 7.2/10
Salary
| Experience | Annual (USD) | |
|---|---|---|
| 薪资中位数 | $135,980 ~ $135,980 | 全国全职年薪中位数（来源：美国 BLS OES 2025） |
| Entry level (0–3 years) | $70,000 ~ $95,000 | Entry-level salary range |
| Mid-level (3–7 years) | $95,000 ~ $130,000 | Salary for experienced professionals |
| Senior (7+ years) | $130,000 ~ $180,000 | Senior developer salary |
| 平均薪资 | $148,100 ~ $148,100 | 全国全职年薪均值（来源：美国 BLS OES 2025） |
Education Path
| Stage | Duration | Cost (USD) |
|---|---|---|
| Bachelor's in Computer Science | 4 years | $40,000~$120,000 |
| Master of Computer Science | 2 years | $30,000~$80,000 |
| Coding bootcamp | 3-6 months | $10,000~$20,000 |
Qualifications
| Qualification | Issuer | |
|---|---|---|
| Bachelor's degree in computer science | Accredited university | Optional |
| Relevant work experience | Employer | Optional |
Migration (to United States)
| Visa | Details |
|---|---|
| H-1B H-1B Specialty Occupations | Common work visa, requires a bachelor's degree, quota lottery system |
| EB-2 Employment-Based Second Preference | Requires master's degree or higher or exceptional ability, via PERM labor certification |
| EB-3 Employment-Based Third Preference | For bachelor's degree holders or skilled workers, through PERM labor certification |
| O-1 O-1 Extraordinary Ability | Applies to individuals with exceptional ability in their field |
Who it fits
- Enjoys programming and logical problem-solving
- Willingness to continuously learn new technologies
- Possesses teamwork and communication skills
- Dislike long periods of sedentary coding
- Feeling stressed by rapid iteration and technological change
Career outlook
From junior developer, can advance to senior developer, technical lead, architect, or move into project management, product management. Experienced individuals can become engineering managers or CTOs.
The US Bureau of Labor Statistics projects 25% employment growth for software developers from 2022-2032, much faster than average. Cloud computing, big data, and AI continue to drive high demand.
Growth areas：
Cloud ComputingArtificial IntelligenceBig DataCybersecurity
FAQ
Data sources
Salary ranges are estimates aggregated from public listings on Indeed, Glassdoor, ERI SalaryExpert and the U.S. Bureau of Labor Statistics (BLS OEWS); employment and demand outlook cite the BLS Occupational Outlook and O*NET; visa and migration details follow the latest USCIS work-visa (H-1B / O-1 / L-1) and employment-based green-card (EB-2 / EB-3, incl. DOL PERM labor certification) rules. Figures are indicative only — always refer to the latest official sources.
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