thomas-jamet/Multi-LLM-Development-Framework

A provider-agnostic framework for structured AI development with consistent patterns across Gemini, Claude, and Codex.

25
/ 100
Experimental

This framework helps developers structure their AI-assisted coding projects, moving beyond 'vibe coding' to maintainable, organized development. It takes your project requirements and provides a consistent organizational structure, reusable code components, and orchestrated workflows, allowing you to build scalable and long-lasting software with AI assistants. Software developers who use AI coding tools will benefit from this project.

Use this if you are a software developer frequently using AI coding assistants (like Gemini, Claude, or Codex) and need a robust way to organize your AI-generated code for long-term maintainability and team collaboration.

Not ideal if you are looking for an AI coding assistant itself, or if your projects are small, one-off scripts that don't require extensive structure or maintenance.

software-development AI-assisted-coding project-architecture code-organization developer-tooling
No Package No Dependents
Maintenance 10 / 25
Adoption 4 / 25
Maturity 11 / 25
Community 0 / 25

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Stars

7

Forks

Language

Python

License

MIT

Last pushed

Feb 10, 2026

Commits (30d)

0

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