Building an AI Auto-Patch Agent with TrueForge and Qodo
Building Auto-Patch Agent: From Production Incident to Reviewed Code Fix Production incidents require investigation, debugging, code changes, review, and deployment. I built Auto-Patch Agent to automate this workflow while keeping the code change reviewable. What does Auto-Patch Agent do? Auto-Patch Agent is an AI-powered incident response agent. Given a production failure such as an HTTP 500…
Auto-Patch Agent is an AI-powered incident response tool designed to automate the process of debugging production failures and generating code fixes. The agent takes a production error, such as an HTTP 500 error, and investigates the repository to determine the root cause of the issue. It then proposes a targeted fix for the problem, creates a GitHub Pull Request, and waits for the code change to undergo review.
In a demonstration, the agent was used to fix a vulnerability in a Node.js order service. The failure occurred when an invalid customer ID was supplied, causing the customer lookup to return undefined. The application then attempted to access customer.id, leading to an HTTP 500 error. The Auto-Patch Agent investigated the repository, identified the failure path, and created a GitHub Pull Request with the necessary validation and error handling improvements.
The change was reviewed by Qodo, an independent code review tool, which confirmed that there were no bugs found in the remediation. Following the review, the change was merged to the main branch of the project.
The project utilizes TrueForge, the runtime and orchestration layer for the Auto-Patch Agent. TrueForge manages the interaction between the AI agent and the development workflow by running the agent, connecting Gemini as the model, linking development and repository tools, and handling tool calls. It allows the project to go beyond AI generating code and instead enables the agent to interact with the engineering workflow.
Qodo, the code review tool, provides an independent review of the submitted Pull Request for bugs and code quality issues. This adds an extra layer of validation to ensure that the remediation meets the required standards before the change is merged into the main branch. The final review reported no bugs found, allowing the Pull Request to be merged successfully. The technology stack used in this project includes TrueForge, Gemini, GitHub, GitHub MCP, Qodo, Node.js, and Express.js.
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