Getting started with Claude Code and CircleCI

AI-powered coding tools like Claude Code are transforming the way developers work by enabling functions such as writing, refactoring, and feature building through natural conversation, but these tools can introduce risks including subtle bugs, incorrect API usage, and security vulnerabilities. Continuous integration (CI) serves as a critical safety net, allowing developers to confidently implement AI-generated code by pairing it with automated testing and validation. This tutorial outlines the process of setting up Claude Code with CircleCI to create a workflow that automatically validates AI-generated code, ensuring rapid development with reliable verification. The guide also covers how Claude Code, Anthropic’s command-line tool, integrates with CircleCI using the Model Context Protocol (MCP) to fetch build logs, trigger pipelines, and analyze test failures, thus enhancing the CI/CD workflow. With this setup, developers can efficiently iterate on their projects, catching potential issues before they reach production, and gaining the productivity benefits of AI-assisted development coupled with automated testing confidence.