AI-Assisted Development Workflow

AI is transforming how we write code. But the key insight is: AI is a copilot, not autopilot. Here's my structured approach to AI-assisted development.

The TDD Pattern

Following Anthropic's recommended workflow:

1. Human writes test specifications
2. Human confirms tests fail
3. AI generates implementation ("make tests pass")
4. AI iterates until tests pass
5. Human reviews and refactors
6. Commit

This pattern ensures quality while leveraging AI speed. #ai #development

CLAUDE.md — The Secret Weapon

Every project gets a CLAUDE.md file in the root. This file:

• Defines the project's tech stack and conventions
• Sets coding standards (TypeScript strict mode, line length, etc.)
• Lists available commands
• Provides context that makes AI output more accurate

Model Switching Strategy

| Phase | Model | Why | |-------|-------|-----| | Planning | Claude Opus | Deep reasoning | | Implementation | Claude Sonnet | Fast, accurate | | Complex reasoning | "think harder" | Extended context | | Code review | Separate instance | Fresh perspective |

Results

With this workflow, I've seen:

• 60-80% of AI hallucinations caught at compile time (TypeScript strict mode)
• Faster iteration cycles
• More consistent code quality
• Better documentation as a side effect

The future of development is human-AI collaboration. The developers who master this workflow will have a significant advantage. #workflow #claude