Show HN: Build Your Own CLI Coding Agent in Python (github.com)

A recent workshop in Tokyo has transformed into a self-paced tutorial, enabling engineers to build a Command-Line Interface (CLI) coding agent entirely in Python. The workshop guides participants through a structured development process, starting with a basic input loop and incrementally integrating a large language model (LLM), various tools for file and command handling, and an innovative agent loop. The final goal is to create an agent that possesses persistent memory across sessions, making it capable of remembering previous interactions through an AGENTS.md file. This initiative is significant for the AI/ML community as it promotes hands-on learning and understanding of LLMs in practical applications. By engaging participants in coding without the assistance of AI tools, the workshop underscores the importance of comprehending the underlying mechanics of AI integrations. The technical implications are profound, as developers create a functional agent capable of executing tasks such as reading and editing files and running shell commands, all while maintaining conversation context and memory. This builds a foundation for more advanced AI agents that can automate coding tasks and assist in software development processes, thus advancing the capabilities of AI in programming environments.