FixKit AI

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Turn a bug report into a tested fix

“A user reported a bug and I don't know where to start.”

Make the agent reproduce the bug first. A fix you can't reproduce isn't a fix.

Fix it yourself in 3 steps

  1. Paste the bug report and point the agent at the repo.
  2. Use the loop prompt: reproduce, find the cause, smallest fix, prove it.
  3. Read the before/after proof, then merge.

Copy this prompt

Here's a bug report: [report]. Reproduce it in the smallest way you can and show me the failing output. Find the root cause, make the smallest fix, and rerun the reproduction plus related tests. Don't refactor unrelated code. If you can't reproduce it after two serious tries, stop and tell me what you need. Finish with cause, changed files, before/after proof and risks.

Fill in the [brackets]. Each prompt says when the AI should stop, so it doesn't wander off.

Inspired by real examples collected at signals.forwardfuture.com.

Tools for this

#1 · Our pick

Claude Code

Best for: Serious work on real repos

Anthropic's agent for your terminal, IDE and desktop. Reads the whole repo, runs commands and tests, and handles large multi-file changes well.

Visit Claude Code ↗
#2

Cursor

Best for: Editor-first developers

A VS Code-style editor built around AI, with background agents. The comfortable choice if you live in an editor.

Visit Cursor ↗
#3

OpenAI Codex

Best for: Delegating tasks as PRs

OpenAI's coding agent, in the CLI and in the cloud. Good at handing off well-scoped tasks that come back as pull requests.

Visit OpenAI Codex ↗
#4

GitHub Copilot

Best for: Teams already on GitHub

Autocomplete plus an agent mode, inside the editors you already use and on GitHub itself. Often already paid for by your employer.

Visit GitHub Copilot ↗