jasper
81 posts
Potential stack of something like: Hermes from @NousResearch @joinmassive from @jsongrad (web search and more 👀) Gbrain from @garrytan (second brain) @obsdmd (multi-purpose) @ZeroEntropy_AI from @ghita__ha (specialized models) Wafer from @gpuemi & @gpusteve for open source Inference? Delegation ability to Claude Code/Codex ^ some interchangeable, some can be consolidated
225 sessions, 8,337 tool calls. I ran /ctx-insight on my own data and the numbers surprised me. I read 5.2x more than I write. 1,992 files read, 386 written. I thought I was mostly writing code. Turns out I spend most of my AI time understanding code. Review mode 45% of the time, implementation only 34%. My context window overflows in just 4% of sessions, which apparently puts me well below the 60%+ most developers hit. The part I didn't expect: 19 tasks running in parallel across 6 bursts saved me roughly 26 minutes. And my error rate is 2.7%, meaning almost everything lands on the first try. 143 commits in 225 sessions, but most sessions are pure research. The commits come in focused bursts. All of this was already sitting in a local SQLite database on my machine. Every session writes tool calls, errors, file edits, context overflows. I just never had a way to see it until now. /ctx-insight to see yours. Nothing leaves your machine. github.com/mksglu/context…
