Testing & Quality Mistakes in AI
From the AI Workflow cheat sheet · Common Pitfalls to Avoid · verified Jul 2026
Testing & Quality Mistakes
Shortcuts that hurt long-term quality
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PITFALL: Not Testing Before Committing
The mistake: Committing code because "it looks right" without running it
Why it fails: Accumulating broken commits - git history becomes unreliable
The fix: Always run the app. Test the feature. Then commit.
PITFALL: Skipping Tests
The mistake: "I'll add tests later when I have time"
Why it fails: Later never comes. As codebase grows, afraid to change anything
The fix: Write tests as you build features. Make it part of workflow.
PITFALL: Not Committing Frequently Enough
The mistake: Working for 4 hours, building 3 features, one giant commit
Why it fails: Can't easily roll back - git history is useless
The fix: Commit after every working step. Small commits = easy rollbacks.❌ Untested commits break build history
❌ No tests → fear of changes → stagnant codebase
❌ Giant commits → impossible to debug or rollback
✅ Test, commit, repeat - creates safety net
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