After spending a lot of time debugging large repositories with ChatGPT/Claude, I kept noticing the...
After spending a lot of time debugging large repositories with ChatGPT/Claude, I kept noticing the same failure pattern:
the model was not necessarily "bad at coding" — it was operating on a broken map of the repository.
Typical workflow looks something like:
search manually across many files
paste fragmented snippets
You're debugging something with ChatGPT, Claude, or Cursor, and you hit the wall every developer...
Dumping a whole repo into an AI chat has three failure modes — leaked secrets, blown context, and lost structure. Here's a…
LLM agents burn a ridiculous number of tokens on redundancy: opening the same files again and again,...
I recently shipped a small research agent that beats three recurring LLM problems: stale training data, hallucinated facts, and…
Using a Language Model (LLM) pretrained on coding data proves incredibly useful for "self-contained" coding tasks, like conjuring…
Here's a thing that catches almost everyone the first week they run a model locally. You paste a...
