13-13: AI-Assisted Development
Weaponizing GitHub Copilot, Devin, and Cursor. Tracking developer velocity versus technical debt injected by AI code generation.
🎯 What You'll Learn
- ✓ Measure AI-assisted PR lead times
- ✓ Quantify "Vibe Coding" debt
- ✓ Adjust architectural guidelines to counter AI boilerplate
The Vibe Coding Trap
Tools like GitHub Copilot and Cursor radically increase the volume of code generated per hour. A junior engineer can spin up a boilerplate React application in minutes.
However, "Vibe Coding" (prompting until the feature visibly works without understanding the underlying logic) injects massive amounts of invisible Technical Debt. The code lacks architectural coherence and violates DRY principles aggressively.
The economic ROI of AI coding tools is only realized if the organization rigidly enforces automated testing and Architecture Review to reject hallucinated, bloated boilerplate.
The percentage of codebase lines physically generated by an LLM.
The increase in PR payload size driven by developers auto-generating massive classes instead of reusing modules.
Audit the testing coverage of AI-assisted developers.
Action Items
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3-Step Playbooks
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Module Syllabus
Lesson 1: The Vibe Coding Trap
Tools like GitHub Copilot and Cursor radically increase the volume of code generated per hour. A junior engineer can spin up a boilerplate React application in minutes.However, "Vibe Coding" (prompting until the feature visibly works without understanding the underlying logic) injects massive amounts of invisible Technical Debt. The code lacks architectural coherence and violates DRY principles aggressively.The economic ROI of AI coding tools is only realized if the organization rigidly enforces automated testing and Architecture Review to reject hallucinated, bloated boilerplate.
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