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07

AI Development Workflows

> plan().act().review().repeat()

Master structured workflows for AI-assisted development. Learn the Plan-Act-Review loop, when to use incremental vs big-bang approaches, and code review patterns for AI output.

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// structured approaches to AI collaboration

01

The Plan-Act-Review Loop in Practice

Structured iteration with AI coding tools

Stop ping-ponging between you and AI with no direction. The Plan-Act-Review loop brings discipline to AI collaboration. Plan what to build, act with AI, review the output, repeat.

Planning Phase Execution Review Process Iteration
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02

Incremental vs Big-Bang AI Development

Choosing your development strategy

Should you ask AI to scaffold the entire feature at once or build piece-by-piece? Each approach has tradeoffs. Learn when to go big and when to go slow.

Scaffolding Incremental Build Risk Management Decision Matrix
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03

Code Review Checklist for AI Output

What to verify before accepting AI code

AI-generated code looks clean but hides landmines. This checklist catches the common issues: missing error handling, race conditions, security gaps, and performance problems.

Review Checklist Common Issues Red Flags Quality Gates
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