Yes — AI coding agents (Cursor, GitHub Copilot, Devin) write, debug, and deploy code. They deliver 55% faster development and 30% fewer bugs. But human review is still essential. Here's the full picture.

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What AI Coding Agents Can Do

  • Write new code: Build features, APIs, integrations from specifications
  • Debug existing code: Find bugs, suggest fixes, explain root causes
  • Write tests: Generate unit tests, integration tests, and test data
  • Refactor: Clean up code, modernize patterns, improve performance
  • Document: Generate README files, inline docs, API documentation
  • Code review: Spot security issues, anti-patterns, and edge cases
  • Deploy: Some agents (Devin) can create PRs, run CI/CD, and deploy

AI Coding Tools Compared

ToolBest ForCostAutonomy
GitHub CopilotIn-editor autocomplete$10-19/moLow (assists)
CursorFull IDE with AI$20/moMedium (writes code)
DevinAutonomous coding agent$500/moHigh (full tasks)
Claude CodeCLI coding agent$20/mo (Claude Pro)Medium-High
ChatGPTCode generation + explanation$20/moLow (chat only)
AiderOpen-source CLI agentFree (API costs)Medium

Productivity Gains

MetricWithout AIWith AI
Lines of code/day100-200300-500
Time to build a feature2-5 days0.5-2 days
Bug rateBaseline30% fewer
Test coverage40-60%70-90%
Onboarding time2-4 weeks1-2 weeks

What AI Still Can't Do

  • Architecture decisions: Choosing the right system design still needs human judgment
  • Understanding business context: AI doesn't know your users, market, or constraints
  • Security review: AI can spot common issues but misses novel attack vectors
  • Performance optimization: Profiling and optimizing complex systems needs humans
  • Legacy code: AI struggles with undocumented, decades-old codebases

Best approach: AI writes 60-80% of the code. Humans review, architect, and handle edge cases. This is now the standard at most tech companies.

55%
Faster development
30%
Fewer bugs
60-80%
Code AI can write

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