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Context pruning: reduce context size using telemetry signal-to-noise data #9

@michaeloboyle

Description

@michaeloboyle

Description

Use telemetry data to learn which context sections are actually referenced during fixes, and prune unused sections from future captures of the same issue class.

Requirements

  • Parse session transcripts for section references (element, consoleErrors, networkFailures, etc.)
  • Score each section by usage frequency per issue class
  • Build per-class context profiles (e.g., CSS fixes skip network/perf sections)
  • Apply pruning rules in captureContext() based on issue classification
  • Measure: context size should shrink while fix correctness stays constant

Target

  • Signal-to-noise ratio >60%
  • Context sufficiency (fixes needing extra Grep/Read) <20%

Depends On

References

  • PKM ADR-0013 Benchmarks: Self-Improvement Loop 1 (Context Pruning)

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