Hey everyone! We've been working on helping eng teams finetune custom code LLMs for their specific internal code repos for different tasks across the SDLC.
We wrote a blog post about how we're doing it for code completions. We essentially fine-tune the model as a developer going from a blank slate to the full repo, one diff at a time. Instead of treating codebases as a static, raw list of files, we treat them as time-series of diffs on graphs of code objects (functions, classes, etc.).
The results are very encouraging.
Would love to answer questions and hear any cool ideas y'all might have!
We wrote a blog post about how we're doing it for code completions. We essentially fine-tune the model as a developer going from a blank slate to the full repo, one diff at a time. Instead of treating codebases as a static, raw list of files, we treat them as time-series of diffs on graphs of code objects (functions, classes, etc.).
The results are very encouraging.
Would love to answer questions and hear any cool ideas y'all might have!