I manage 16+ repos with Claude Code. Never re-explain my codebase. Never manually reload context. The AI picks up where it left off across sessions.
The trick isn't a better AI. It's structured memory management around the one you already have.
https://t.co/PNW9rYqMEd
#AI #DevTools #JitNeuro #FirstMover
Before: 500-line CLAUDE.md loaded every session. "Save this to a file" then "read that file back." Context management WAS the job.
After: 30-line brainstem, bundles on demand, /save + /load. Context management happens behind the scenes.
https://t.co/PNW9rYrktL
#ClaudeCode #Productivity #JitNeuro #FirstMover
What if you managed AI context like a neural network? Routing weights pick which knowledge to load. Bundles are layers. /clear is dropout. /learn is backpropagation.
That's JitNeuro. Open source framework for Claude Code.
https://t.co/PNW9rYrktL
#AI#DevTools#OpenSource #JitNeuro #FirstMover
@nate.b.jones loved your harness video, I am all-in on claude.md harness. checkout https://t.co/549F07Ffed an open source project that adds functionality on top of Claude Code for memory and context management. It is and add-on to the harness layer. @itproguru secure and enterprise features, cross repo intelligence survives /compact, auto compact and even /clear. 16+ commands.
The biggest productivity killer with AI coding assistants isn't the AI. It's the memory. Context gets compressed. /clear wipes everything. You spend more time managing what the AI knows than doing actual work.
JitNeuro fixes this with modular context bundles and save/load that survives /clear.
https://t.co/PNW9rYqMEd
#ClaudeCode #AIDev #JitNeuro
Before: 500-line CLAUDE.md loaded every session. "Save this to a file" then "read that file back." Context management WAS the job.
After: 30-line brainstem, bundles on demand, /save + /load. Context management happens behind the scenes.
https://t.co/PNW9rYqMEd
#ClaudeCode #Productivity #JitNeuro
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