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

[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

• ADR-0006: DevTools Bridge integration #6 (DevTools Bridge integration) — Done
• Fix pattern library: store and reuse successful fix patterns #8 (Fix pattern library) — needs classification data

References

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