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AI helps you code faster. Early users make mistakes. You avoid these traps to keep your software stable.
- Blind Trust Do not trust AI blindly. AI ignores your business rules.
- Require senior reviews.
- Run security scans.
- Check error handling.
- Vague Prompts Bad prompts lead to bad code. AI needs clear rules.
- Map out API contracts.
- List edge cases.
- Define performance goals.
- Skipping Refactoring AI writes code fast. This builds tech debt.
- Set time for cleanup in every sprint.
- Track code complexity.
- Use a strict definition of done.
- Overusing AI for Logic AI fails at unique business logic. Use it for known patterns.
- Use AI for boilerplate.
- Write hard logic by hand.
- Use AI to generate tests.
- Stale Tooling Your architecture changes. Your AI prompts must change too.
- Update templates often.
- Use version control for prompts.
- Assign an owner for AI tools.
- No Training Prompting is a skill. Your team needs to learn it.
- Run workshops.
- Pair experienced users with new ones.
- Share a library of good prompts.
- Compliance Gaps AI makes audit trails messy. Regulated industries face risks.
- Track what AI wrote.
- Document tool versions.
- Update security training.
Fast coding is a goal. High quality is the priority. Keep your standards high as you grow.