After a year with GitHub Copilot and three months with Cursor IDE, our verdict is clear: AI coding assistants are not hype. They are legitimate tools that boost productivity.
GitHub Copilot — One Year in Production¶
Tab-complete entire functions, generate boilerplate, scaffold tests. On average, 30–40% of suggestions accepted.
Cursor — AI-Native IDE¶
A VS Code fork with native AI. Conversational code editing, refactoring across files. Killer feature: Cmd+K for inline editing.
Measuring Productivity¶
- Time on boilerplate: −60%
- Time on unit tests: −40%
- Time on complex logic: −10%
- Time on code review: +15% (more attentive reviews)
- Overall productivity: +25–30%
Risks¶
Copy-paste bugs. AI generates code that looks correct but contains subtle errors. Code review is more important than ever.
Skill atrophy. Juniors who accept everything from AI fail to learn the fundamentals.
AI Coding Is the New Standard¶
Within a year, developers without an AI assistant will be like developers without an IDE. Adopt now, set guidelines, measure impact.
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