STORY:
The session backend needed to aggregate agent health from a live
telemetry stream rather than static bead metadata. This refactor
makes liveness signals real-time and accurate.
COLLABORATION:
We extended the ActivityEvent model with a native 'heartbeat' kind,
updated extendActivityLease() to emit through the activity bus, and
refactored getAgentLivenessMap() to prioritize heartbeat activity
history over stale bead metadata.
DELIVERABLES:
- ActivityEvent extended with 'heartbeat' kind
- extendActivityLease() emits heartbeats through activity bus
- getAgentLivenessMap() prefers telemetry over static metadata
- Registry APIs support projectRoot injection for testing
- Tests verify preference logic via TDD
VERIFICATION:
- 93/93 tests PASSING
- Heartbeat override verified in isolated temp projects
CLOSES: bb-buff.1.3
BLOCKS: bb-buff.3.2, bb-buff.3.3, bb-buff.2.1
We moved from ad-hoc task claims to a strictly defined 'Skill' system.
Triumphs:
- Implemented the 'beadboard-driver' skill, which encodes our project-specific coordination protocols (claim, reservation, handoff).
- This ensures that any AI operative (or human supervisor) can participate in the project lifecycle using a unified CLI-driven state machine.
- Decoupled high-level mission logic from low-level file mutations, allowing for easier agent skill composition in the future.
Raw Honest Moment:
Initially, we were just 'winging it' with manual status updates. Formalizing this into a skill was a necessary step to ensure our collaboration is repeatable and resilient to agent context swaps.