StudioSegmently team open-sources context-recall to measure how many project rules coding agents miss
Original title: How many must-follow rules never reach your coding agent? Do code graphs help? Here's how we measure it.
The Segmently team presents a method for measuring rule recall in coding agents and open-sources context-recall, a Claude Code plugin (MIT). Across 12 real tasks and 75 rules, Claude Code got 32% of rules into the plan without project docs, 54% with docs in the repo, and 70% with their modular setup. 57 of 70 rules had no failing test, and about a third of needed rules were written nowhere. Code-indexing tools (Serena, Trail, Graphify) performed no better than Claude Code alone, as these rules are largely absent from code.
Offers a reproducible, open-source benchmark method that quantifies how often coding agents miss project rules, so teams can compare setups on their own repos.
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