Co-authored-by: Codex <codex@openai.com>
4.4 KiB
Priorities
The ranked work queue for the autonomous improvement loop. The architecture-review pass (the architect) owns this file: each run it turns the roadmap plus an internal scan (gaps in the services → agents → workflows lifecycle, API coherence, drift, tech debt, test and DX friction) into a single ordered list — highest-value first — and links each item to a tracking issue. The hourly continuous-improvement pass works the top item whose issue is still open. So the architect decides what, and the increment loop builds it.
Reading / editing. An item is done when its linked issue closes (the increment
that builds it adds Closes #<issue>). Roadmap phase (Now → Next → Later) is the
primary ordering; internal findings are interleaved by value, not kept in a
separate list. The human can reorder this list — or the issues — at any time to
redirect the loop; direction always wins.
Off-limits to the loop (the architect proposes these as notes, never as queue items the loop can auto-merge): brand/positioning copy, breaking public-API changes, architectural rewrites. Those go to the human.
Work queue (ranked)
- Add first-agent preflight diagnostics (#3604) — the 0→hero docs handoff shipped, so the next adoption bottleneck is install/runtime confidence before a new user tries the first provider-backed agent. Keep this first because the current strategic goal is developer adoption: one no-secret diagnostic should tell a developer whether Go, the
microbinary/runtime, provider-key setup, and local ports are ready before the first-agent walkthrough. - Finalize the universe notify step after an agent-backed timeout (#3589) — recent live-provider CI exposed a real services → agents → workflows seam: an agent-backed notify side effect can complete while the client observes a timeout, leaving pending flow state and late duplicate notifications. Keep this high because it protects the 0→hero/reliability contract, but leave the adoption preflight first so the queue does not drift back to only internal hardening.
- Prevent duplicate tool side effects in the plan/delegate harness (#3559) — correctness still matters where it protects real user trust. Plan/delegate is central to the services → agents lifecycle, and duplicate side effects undermine the “agent as dependable service” story.
- Expose
fallback_echoduring A2A streaming fallback conformance (#3560) — keep interop conformance trustworthy without letting it dominate the adoption queue. This is scoped, testable, and protects the A2A promise developers see in the README and site. - Propagate agent run cancellation and deadlines through model and tool calls (#3544) — after the on-ramp items, the highest-value remaining Now-phase resilience gap is predictable failure semantics across agent runs, model calls, tool calls, plan/delegate, and flow handoffs. Tool retries and live-provider deadline tuning are in place; the lifecycle still needs cancellation/deadline propagation so work fails safely instead of becoming opaque loops.
- Emit OpenTelemetry spans for agent run timelines (#3525) — recent work made runs inspectable, correlated trace metadata through scheduled dispatch, verified restart resume, added opt-in tool retries, hardened provider conformance, and fixed provider-emitted text tool calls. The next Next-phase step is to turn that RunInfo foundation into standard OTel spans for agent runs, model calls, tool calls, checkpoint/resume, cancellation/deadlines, and failures.
- Add an AP2 mandate layer over A2A and x402 (#3552) — this is a forward interop investment, not a Now-phase blocker: Go Micro already has A2A agents and x402 paid tools, so a small signed-mandate foundation can keep agent payments aligned with the open-protocol story without pulling the queue away from adoption, resilience, or observability. Keep it additive and opt-in while the AP2/FIDO work settles.
Seeded by Claude Code from the roadmap + open issues; thereafter maintained by the architecture-review pass.