{
  "id": 15030175,
  "title": "Building an AI bug-fixing agent that runs inside your GitHub Actions runner",
  "url": "https://urgent.news/2026/10/16/building-an-ai-bug-fixing-agent-that-runs-inside-your-github-actions",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-16T19:55:42.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/rafalswietek/building-an-ai-bug-fixing-agent-that-runs-inside-your-github-actions-runner-5cdg"
  },
  "original_language": "en",
  "account": "A new AI-powered tool is being developed to automatically fix bugs in GitHub Actions runners. The system is designed to run inside a GitHub Actions runner, with the AI key stored securely in the repository. The control plane, a GitHub App with read and write permissions for metadata and actions, coordinates the process without having access to the repository's code.\n\nWhen an error is detected, the control plane creates a new workflow in the repository and prompts the runner to execute the AI bug-fixing agent. The agent uses four tools to analyze the code, search for the error, generate a fix, and create a pull request with the changes. The runner reports the status of the PR, including a summary and token counts, back to the control plane.\n\nTo ensure the security of the AI key, the control plane never sees it and instead generates a unique token for each run. This token is valid for only 30 minutes and is used to fetch error context and report the results. The agent is limited to 30 tool calls or 20 minutes of runtime, whichever comes first, to prevent overuse of the model's computing resources. This design allows the agent to read files and create diffs, but not to run tests or execute network requests of its own.",
  "summary": "Disclosure: I'm building a product around this (bugzero). This article was drafted with AI assistance, then reviewed and edited by me. Production errors are a good fit for an AI agent. There is a stack trace, there is a repository, and \"done\" has a clear definition: a pull request that a human reviews. What bothered me was the usual shape of these tools. You give a SaaS read access to your…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}