FixKit AI

Home / Use case

Turn tickets into pull requests with an AI agent

“My backlog is full of small tickets nobody gets to.”

Well-written tickets can go straight to a coding agent that opens a pull request. Start with small, clear ones and add checks before you trust more.

Fix it yourself in 3 steps

  1. Pick 3 small tickets and rewrite each with clear steps and 'done when'.
  2. Assign them to a coding agent (from your tracker, Slack or the agent's app) to open pull requests.
  3. Review each PR with tests passing; give feedback on the PR instead of re-explaining in chat.

Copy this prompt

Take ticket [ID/text]. Restate what 'done' means in one line, then implement it on a new branch with tests. Open a pull request that links the ticket and explains what changed and how you tested it. Don't merge or deploy — stop after the PR.

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

Agents people used for this: Devin, Codex, Claude Code, Cursor.

Inspired by real examples collected at agentusecases.ai.

📚 26 real stories of people doing this with AI agents

Collected at AgentUseCases.ai.

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 ↗