BerriAI / litellm
github.com·3d ago
Developer Tools
Real Python·3d ago·5 min read
The Real Python Podcast – Episode #314: Codemoo: Demonstrating How Coding Agents Work
TL;DR
Geir Arne Hjelle discusses his project Codemoo, which demonstrates the inner workings of coding agents. The episode explores how these agents can be defined through conversation and the use of large language models (LLMs).
✦ Why It Matters
Explore Codemoo to understand how coding agents can enhance your development process today.
Key Takeaways
- Experiment with Codemoo to see coding agents in action.
- Consider using LLMs for generating architecture documents.
- Adopt garuff for opinionated Python linting tailored to coding agents.
- Engage in questioning sessions to refine project definitions.
How It Works
Codemoo operates by allowing developers to interact with coding agents through conversation, enabling a more intuitive project definition process. By leveraging LLMs, it facilitates the creation of architecture documents based on thorough questioning, moving beyond traditional Spec-Driven Development.