docs: Progress Tracker sidecar specification and beads tasks #102
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…ads tasks Add detailed specification for Progress Tracker external sidecar agent: - Overview and architecture (external agent monitoring relay servers) - 6 components: Relay API client, log tailer, pattern analyzer, reminders, lifecycle, escalation - Full feature set: log tailing, pattern detection, intelligent reminders, lifecycle control - Data flows for polling, reminders, and escalation - 5 implementation phases with clear deliverables - Technology stack and deployment guidance - API design for relay daemon extensions - Testing strategy and success criteria Add beads task breakdown: - 6 feature tasks organized by implementation phase - Task descriptions with requirements and acceptance criteria - Estimated effort: 54 hours total (2-3 week timeline) - Risk assessment and mitigation strategies 🤖 Generated with Claude Code Co-Authored-By: khaliqgant <[email protected]>
Record trajectory decisions and justifications: - External sidecar architecture (vs in-relay daemon or hooks) - 5-phase implementation approach (foundation → intelligence → action) - LLM-powered pattern analysis for intelligent detection - 54-hour effort estimate (2-3 week timeline) Architectural highlights and technical decisions documented. Confidence: 90% (architecture sound, requirements clear, risks identified) Edge cases and next steps identified for team reference.
Adds section 3.5 "Activity State Detector" to complement the Pattern Analyzer in the Progress Tracker Sidecar spec (PR #102). Key features (inspired by NTM): - 8 activity states: waiting, thinking, generating, tool_executing, etc. - Three-signal detection: velocity + patterns + temporal analysis - CLI-specific patterns for Claude, Codex, Gemini - Hysteresis to prevent state flicker (2s stability requirement) - Health score computation from activity signals - Dashboard display with real-time state indicators Benefits: - Fast detection (< 100ms) vs LLM-based analysis (1-5s) - Deterministic for known patterns, LLM only when needed - Real-time dashboard updates Includes beads task breakdown (~8h effort).
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Along with this we should remove the continuity scheduled injections as it causes confusion. |
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Progress Tracker Sidecar Agent
Detailed specification for Progress Tracker external sidecar agent that monitors relay workspace servers and provides deep visibility into agent work.
What's Included
1. Comprehensive Specification (
docs/PROGRESS_TRACKER_SIDECAR_SPEC.md)2. Key Features
3. Implementation Plan (
docs/PROGRESS_TRACKER_BEADS_TASKS.md)Problem Solved
Current relay monitoring gaps:
Solution Benefits
✅ Event-based monitoring (no time-based prompts)
✅ Deep work visibility (logs + relay messages)
✅ Automatic stuck detection (<2min latency)
✅ Intelligent reminders using context
✅ Auto-recovery for common failure modes
✅ Lead gets real, actionable alerts
✅ Scales to monitor n relay servers
Implementation Phases
Next Steps
Discussion Points
RFC (Request for Comment) - looking for feedback on architecture and approach before implementation begins.
🤖 Generated with Claude Code
Co-Authored-By: khaliqgant [email protected]