LLMForge is an ongoing research effort exploring how artificial intelligence
can participate safely and transparently in software engineering workflows.
It introduces a conceptual framework for supervised AI-assisted software development.
The protocol formalizes how language models, CI/CD pipelines and human validation
can cooperate under a shared versioned structure.
LLMForge explores a new way for artificial intelligence and developers to collaborate.
Instead of treating language models as black-box code generators,
LLMForge defines a disciplined environment where every task is described,
versioned, and verified.
It is not a tool or a framework,
but a philosophy of supervised AI development —
where creativity remains human and precision becomes shared.
- Every action is traceable.
- Automation never replaces validation.
- Human review remains the final authority.
- Structure enables creativity, not the opposite.
The LLMForge protocol defines a common structure for
issues, plans, validation, and collaboration
between humans and AI agents.
This structure aligns with modern DevOps practices while remaining model-agnostic.
The goal of LLMForge is to establish a shared language
between humans, large language models, and development pipelines.
No implementation details or internal scripts are published here.
This repository serves purely as a conceptual and philosophical reference
for the research community.
For collaboration or academic inquiries, please reach out via
GitHub Discussions or your preferred professional channel.
Created as part of the LLMForge project — 2025
License: Creative Commons BY-NC-ND 4.0