The short leash AI coding method for beating Fable

What happened

A July 2, 2026 blog post by okTurtles (Greg Slepak) describes the 'Short Leash' method — a systematic approach for developers working with AI coding agents (Fable 5, Claude Code) without losing code quality or understanding of changes. The Hacker News post received 146 points.

Context and impact

As AI coding agent deployments grow, so do reports of increased production incidents (e.g., the Faros AI study from June 2026 found 3× more incidents after adopting AI coding tools). This methodology directly addresses those risks and gives developers a concrete framework for leveraging agents without losing comprehension of the codebase.

Details

• No YOLO mode: always keep permission prompts on — every change requires developer approval
• Planning phase: AI proposes a plan first, developer approves steps before execution
• Per-subtask commits: commit after each subtask, not at the end of the full task
• Dual PR review: every PR goes through both AI and human review — not just one
• Author self-review: PR author must review their own code line-by-line before merge
• Transparency: document which AI models assisted in the PR description