rllm vs claude-code-source-all-in-one
rllm: rLLM is an open-source framework designed for post-training language agents using reinforcement learning. It allows users to easily build, train, and deploy custom agents and environments for real-world workloads.; claude-code-source-all-in-one: This repository extracts the source code of Anthropic's Claude Code CLI for educational study. It includes 18 deep-dive articles analyzing the architecture, covering core agent loop, tool orchestration, context compression, and more. The source can be run locally for learning purposes.
TL;DR
Training powerful coding models for tasks like code generation and bug fixing.
Studying production-level AI agent architecture and design decisions
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