Comment by gbalduzzi
3 hours ago
An approach that works really well for me in opencode is to use DeepSeek flash for the code exploration sub agent, and a smarter model for the overall task.
Code exploration tends to burn a ton of tokens and do not require frontier knowledge. It then returns a compact overview of the findings to the better model, that can therefore perform its task with less tokens.
Anyone else has a similar approach?
The solution that I am working on is designed to leverage cheap LLMs (think MiMo, GLM, etc.) to build cheap context to reduce tokens, but most importantly to keep the context clean.
https://github.com/gitsense/chat/tree/update-readme
The README and latest version is still being worked on but I am hoping to have the latest release in place soon.