Building a CLI Coding Agent with Pydantic-AI: A Practical Implementation Guide
By
vinhnx
An everything bagel for the brain. Substantive, layered, well-seasoned.
Summary
This article provides a comprehensive guide on building a CLI (Command Line Interface) coding agent using Pydantic-AI. It explains how these agents differ from traditional chatbots and autocomplete tools by being able to read code, run tests, search documentation, and make asynchronous changes to codebases. The author shares their experience of building such an agent to understand how these tools work internally, offering practical insights and implementation details.
Key quotes
· 3 pulledThese aren't just chatbots or autocomplete tools - they're agents that can read your code, run your tests, search docs and make changes to your codebase async.
For me the best way to understand how any tool works is to try and build it myself.
If you have tried Claude Code, Gemini Code, Open Code or Simon Willison's LLM CLI, you've experienced something fundamentally different from ChatGPT or Github Copilot.
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