Relay — Failure Recovery & Verification for AI Coding Agents
Keeps AI coding agents working through failed tests, missing deps, and small mistakes
- Problem
- Many developers find that AI coding agents are only good for about 30 seconds before they completely fail on the slightest hiccup: a failing test, a temporarily unavailable dependency, or an incorrect assumption. Agents are often good at doing something slightly wrong, but not at recovering from it, so humans end up babysitting them anyway.
- Solution
- A lightweight harness that runs alongside AI coding agents, continuously monitors their output and test results, automatically rolls back to the last stable state when a small failure occurs, corrects wrong assumptions, and re-executes. It also generates a verification report so users know exactly what passed and what didn't.
- Users
- Individual developers and small teams who heavily use AI coding agents like Claude Code, Cursor, or Aider.
- MVP
- CLI that integrates with major coding agents; automatic rollback to the last successful snapshot on failure; built-in recovery strategies for common errors (failing tests, missing dependencies); readable execution logs and verification summaries; simple notifications (macOS notifications or Slack webhook).
- Revenue
- Open-core with a paid cloud sync/team collaboration tier; or subscription based on agent runtime or number of runs.
- Why now
- AI coding agents are rapidly being adopted, but reliability remains a major pain point. An indie developer can build a local CLI tool without heavy infrastructure and iterate quickly.