Run your first microbuild in 5 minutes

In a tutorial on setting up a validation loop for AI coding agents, the process of integrating Chunk sidecars for efficient code validation is explored. The tutorial highlights the challenge faced by AI coding agents in needing immediate feedback to prevent small failures from reaching continuous integration (CI) environments. By using Chunk, developers can establish a microbuild system that automatically triggers scoped validations whenever an AI agent pauses, allowing for quick error detection and correction in a simulated CI environment. The setup requires a macOS, WSL, or Linux system with Homebrew, an AI coding agent such as Claude Code, and a CircleCI account. The guide details the steps to install the Chunk CLI, authenticate with CircleCI, initialize the tool in a project, and run tests that simulate an error to demonstrate the validation loop in action. This loop enables AI agents to fix issues locally, thereby increasing the reliability of AI-generated commits without the need for complete CI runs, thus maintaining a seamless and efficient development workflow.