I have built a Semantic Classification engine, which semantically classify codebase. This can be used by Coding Agents go through unknown codebases, understand flow in it, search semantically, finding heavy dependencies.
What happens as the code changes? Why is this better than the agent using grep and LSP in a targetted way for the task at hand, against the current code, including the current diff?
How does one get an agent to prefer this tool to the ones it's been trained on and uses almost immediately? (ignoring instructions to use alternative code understanding tools, I've tried getting them to use LSP, but they all most always ignore those instructions)
I've built something similar and I'm using it too. In my case, it just finds function, method, or class connections, and it works surprisingly well. Then I debug visually—it's been really helpful for AI coding.
I have built a Semantic Classification engine, which semantically classify codebase. This can be used by Coding Agents go through unknown codebases, understand flow in it, search semantically, finding heavy dependencies.
What you say about this product?
What happens as the code changes? Why is this better than the agent using grep and LSP in a targetted way for the task at hand, against the current code, including the current diff?
How does one get an agent to prefer this tool to the ones it's been trained on and uses almost immediately? (ignoring instructions to use alternative code understanding tools, I've tried getting them to use LSP, but they all most always ignore those instructions)
I've built something similar and I'm using it too. In my case, it just finds function, method, or class connections, and it works surprisingly well. Then I debug visually—it's been really helpful for AI coding.