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Engineering Best Practices

Code quality, testing, architecture, and engineering discipline applied to AI-assisted work.

The collection12 saves · newest AUG 30
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  1. LV.1Staged Deployment Explained for Solo Builders›
  2. LV.2One Table With 47 Columns Is Not a Database›
  3. LV.3Three Environments in Thirty Minutes›
  4. LV.4Cheap AWS Services and the Ones to Avoid›
  5. LV.5A Branching Strategy That Starts Simple›
  6. LV.6Four Vibe Coding Mistakes That Cost Real Money›
  7. LV.7Three Gaps Found in Almost Every AI-Built App›
  8. LV.8Why Long AI-Written Comments Are Worth Keeping›
  9. LV.9Designing an API Rate Limiter: Fixed Window vs Token Bucket›
  10. LV.10Three Things to Build Before Changing a Live Database›
  11. LV.11Five Levels of AI Building, From Coder to Engineer›
  12. LV.12Add Database Indexes Before Full Table Scans Melt the Server›
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