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Add design document for real-time trace functionality#3

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johnnygreco wants to merge 1 commit intomainfrom
claude/kraang-realtime-traces-p1yIq
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Add design document for real-time trace functionality#3
johnnygreco wants to merge 1 commit intomainfrom
claude/kraang-realtime-traces-p1yIq

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@johnnygreco johnnygreco commented Feb 22, 2026

Comprehensive design covering trace data model (session/turn/tool-call
three-level hierarchy), pattern detection engine (6 detectors for retry
loops, circular edits, test-fix spirals, env errors, token waste, and
anti-patterns), a new check_insights MCP tool for agent self-improvement,
a kraang watch CLI with Rich Live dashboard, cross-session learning via
fingerprint-based pattern materialization, and a phased approach starting
with Python and graduating to a Rust ingestion binary.

Comprehensive design covering trace data model (session/turn/tool-call
three-level hierarchy), pattern detection engine (6 detectors for retry
loops, circular edits, test-fix spirals, env errors, token waste, and
anti-patterns), a new check_insights MCP tool for agent self-improvement,
a kraang watch CLI with Rich Live dashboard, cross-session learning via
fingerprint-based pattern materialization, and a phased approach starting
with Python and graduating to a Rust ingestion binary.

https://claude.ai/code/session_01QnzxEPDkYW7CZ7ZQwJP4Hy
johnnygreco pushed a commit that referenced this pull request Feb 22, 2026
A panel of 7 specialized reviewers (Systems Architecture, Pattern
Detection, Security, Agent Behavior, Production Engineering, Product
Strategy, and Contrarian) analyzed the design document in PR #3.

Key findings: 14 critical issues including phase reordering (ship
post-session analysis first, defer watcher), insight prompt injection
risks, missing schema migration system, and agent delivery mechanism
concerns. 31 major findings covering detector gaps, fingerprinting
fragility, operational concerns, and missing high-value applications.

The review recommends restructuring — not rejecting — the design:
lead with intelligence (cross-session learning), defer infrastructure
(watcher, dashboard, Rust).

https://claude.ai/code/session_01Hc7hcf6unv3GBoNSJ8DmuT
@johnnygreco
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Check out beacon dude

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2 participants