WhatA tool that automatically analyzes AI coding session logs, identifies which parts of the conversation context are still relevant vs. stale, and reconstructs a high-fidelity pruned context — replacing the lossy 'compact' command.
SignalPower users of AI coding agents report that the built-in compaction feature destroys critical context fidelity, and several are already hacking together their own JSONL-slicing scripts with sub-agents to salvage useful context from bloated sessions.
Why Now1M context windows make sessions dramatically longer and more expensive, amplifying the pain of context degradation — while current compaction is a blunt instrument that discards too much useful information.
MarketProfessional developers using Claude Code, Cursor, Windsurf, and similar AI coding agents — estimated 2M+ paying users growing rapidly. No dedicated product exists; everyone rolls their own workarounds.
MoatTraining data from real coding sessions creates a feedback loop where the pruning model improves with usage, and deep integration with specific AI coding tools creates distribution lock-in.
1M context is now generally available for Opus 4.6 and Sonnet 4.6View discussion ↗ · Article ↗ · 1,170 pts · March 14, 2026
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