How to implement effective review gates for AI-assisted development
AI Summary
AI coding assistants can increase velocity but introduce challenges like large unmanageable diffs and context loss. This article presents a practical workflow using milestones, review gates, and a living context file to maintain control and code stability during AI-assisted development.
Key Takeaways
- Use planning sessions to have the AI propose package structures, tech stacks, and milestone breakdowns before writing code.
- Maintain a compact context file (AGENTS.md) under 200 lines, updated after every milestone to preserve context across sessions.
- Enforce review gates where the AI stops and awaits explicit human permission before proceeding to the next milestone.
Why it matters
Implementing structured review gates and milestone breakdowns reduces the cognitive load of code reviews, prevents AI drift, and allows engineers to pause and resume work without losing project context.
Conversation 0
Be the first to share your perspective.