I built a tool to turn your Claude Code sessions into fine-tuning data for local models
If you use Claude Code, every session is already sitting on disk as a .jsonl file under ~/.claude/projects/ . It has real coding conversations: multi-turn edits, tool calls, reasoning traces. That's training data you already generated for free. The problem is the format is not wh
Why it matters
This story from Reddit r/LocalLLaMA is relevant to the Open Source branch of the AI ecosystem and may affect models, products, or research direction.
Technical breakdown
If you use Claude Code, every session is already sitting on disk as a .jsonl file under ~/.claude/projects/ . It has real coding conversations: multi-turn edits, tool calls, reasoning traces. That's training data you already generated for free. The problem is the format is not what any fine-tuning framework expects. So I built claude_converter to bridge that gap. What it does: Conv
Business impact
Watch for product launches, funding moves, or policy shifts tied to this headline.