Computer Programmer
Writes, tests, and maintains the code that allows computer applications and programs to function.
Work Profile
Salary Growth
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🔒 Unlock Financial RealityCore Skills and Tools
These are the practical tools, systems, math, and AI skills used in Computer Programmer roles.
AI & Automation
Core Skills
Industry Knowledge
Requirements
Systems & Software
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Software Engineer
Advance into broader system design and delivery roles with higher salary potential.
Typical Salary: $120000-$180000
Skills Needed: software design,debugging,version control,testing
Difficulty: 🟡 Moderate
View Career →How to Get Hired
This section focuses on practical readiness: what skills matter, what tools or certifications may help, and what you can do now to become more employable.
Unlock the Full Getting Hired Plan
See the exact skills, certifications, projects, and step-by-step plan to break into Computer Programmer.
- Certifications that actually help
- Real projects to build experience
- A 30–60 day action plan
AI Impact & Task Breakdown
AI assists in code generation, making programmers focus more on design and review.
How to Stay Valuable
- Develop judgment, communication, and problem-solving skills
- Learn how AI tools can support this career instead of ignoring them
- Move toward strategy, interpretation, and higher-value work over time
AI Scores
Based on 10 analyzed tasks
More likely automated
- Write application code
- Write and maintain application code
Still requires human judgment
- Collaborate with analysts and developers
- Write application code
How AI Affects This Job
This career includes a mix of tasks. Some are becoming more automated, while others are becoming more valuable because they require human expertise.
Write application code
Implement program logic features and bug fixes in languages used by the team
Likely adoption: 0-2 years
Write and maintain application code
Implement logic features and bug fixes in assigned programming languages
Likely adoption: 0-2 years
Debug and test software
Trace failures reproduce issues and verify fixes before release
Likely adoption: 0-2 years
Test debug and troubleshoot software issues
Run code through validation and resolve defects or performance problems
Likely adoption: 0-2 years
Maintain legacy systems
Update existing applications and scripts while preserving compatibility with current workflows
Likely adoption: 0-2 years
Review specifications and technical requirements
Translate documented needs into working code modules or scripts
Likely adoption: 3-5 years
Review technical requirements
Translate functional requests into code changes data structures and workflows
Likely adoption: 3-5 years
Document code and update version control
Maintain readable comments commit history and implementation notes
Likely adoption: 3-5 years
Document code and changes
Write comments release notes and setup instructions so others can maintain the software
Likely adoption: 0-2 years
Collaborate with analysts and developers
Coordinate fixes integrations and handoffs across the development process
Likely adoption: 5-10 years
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