Implement an automated 'fix and commit' loop by configuring an AI stop hook. This hook runs quality checks on AI-generated code and automatically prompts the AI to fix any detected errors.
with Claire Vo
Using the Claude Agent SDK, write a script (e.g., in TypeScript) that will run automatically every time the AI agent finishes a task.
Add logic to the script to check for file changes. If files were modified by the AI, run a quality gate command like a linter or type checker (e.g., bun typecheck).
If the quality check fails, program the script to capture the error report and output a new JSON prompt instructing the AI to fix the specific errors. The script's console.log output is sent back to Claude.
{"prompt": "Please fix the TypeScript errors. Here is the report: ..."}If all checks pass, the script can trigger a subsequent action, such as instructing a background agent to generate a git commit message and commit the successful changes.
Link your script to the AI tool by adding a configuration to its settings file (e.g., settings.local.json for Claude Code), specifying the command to run the hook.
{
"claude.hooks.stop": [
{
"command": "bun run claude-hooks/index.ts"
}
]
}
Leverage powerful AI coding agents to perform deep, exhaustive benchmarking on complex infrastructure problems. This workflow automates the process of testing numerous solutions, like different database engines or index types, to find the optimal configuration without manual effort.
Leverage the advanced vision and document layout capabilities of Claude Fable 5 to generate clean, printable PDF worksheets, like handwriting practice sheets, for educational or personal use.
Use Claude Cowork to handle the entire product return process, from finding the receipt in your email to drafting a compelling refund request. This workflow saves time on tedious administrative tasks for faulty items.
Join 100,000+ product managers who use ChatPRD to write better docs, align teams faster, and build products users love.