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Orchestrate parallel debug agents to investigate UAT gaps and find root causes.

After UAT finds gaps, spawn one debug agent per gap. Each agent investigates autonomously with symptoms pre-filled from

定位

Orchestrate parallel debug agents to investigate UAT gaps and find root causes.

After UAT finds gaps, spawn one debug agent per gap. Each agent investigates autonomously with symptoms pre-filled from UAT. Collect root causes, update UAT.md gaps with diagnosis, then hand off to plan-phase --gaps with actual diagnoses.

Orchestrator stays lean: parse gaps, spawn agents, collect results, update UAT.

核心流程/章节

  • parse_gaps
  • report_plan
  • spawn_agents
  • collect_results
  • update_uat
  • report_results

原文要点

Extract gaps from UAT.md: Read the "Gaps" section (YAML format): yaml - truth: "Comment appears immediately after submission" status: failed reason: "User reported: works but doesn't show until I refresh the page" severity: major test: 2 artifacts: [] missing: [] For each gap, also read the corresponding test from "Tests" section to get full context. Build gap list: ``` gaps = [ {truth:

适用场景

  • 基于 description 推断:Orchestrate parallel debug agents to investigate UAT gaps and find root causes.

After UAT finds gaps, spawn one debug agent per gap. Each agent inves

参见

Released under the MIT License.