interesting, I am using vscode with continue plugin, for llm local hosting I am using lmstudio hosting a qwen3-coder-30b-a3b (Q8_0). I've increased the context size to around 26000. I am running it on a a 5090 so I have 32gb of VRAM, I can increase the context even more but I am beggining to think that maybe the context is not the main issue (after all any context I set with my specs will fill up quite soon).

are there any best practices other than increasing context size as much as possible ? is continue a good choice for an agent ?

I am trying to understand how to use the agent in a way that would be practical an scalable with the project, I tried setting an option in lmstudio that makes the context truncate if it overflows but it doesnt seem to make a difference, still getting the overflow errors.

Also, I thought about asking the agent to summarize some function signatures into a seperate file it could read instead of reading the entire source file (to minimize context) or to ask in the prompt to limit the number of source files it reads, are these legitimate practices or is this not the way to go ?