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chore: mark t031 complete in TODO.md (#2054)
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@@ -981,7 +981,7 @@ Tasks with no open blockers - ready to work on. Use `/ready` to refresh this lis
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- Notes: Weave (14 stars, Rust, MIT, early development). Intercepts system calls to make execution deterministic (time, RNG, thread scheduling). Only supports Darwin/arm64 and Linux/x86. Evaluation: 1) Interesting concept but too early-stage (limited platform support, small community), 2) aidevops agents are inherently non-deterministic (LLM responses vary) so deterministic syscalls alone don't help, 3) Better suited for traditional software testing than AI agent debugging. Recommendation: Monitor for maturity, no integration now.
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- [x] t030 Research irl_danB's progressive-memory and clawdbot projects #research #tools #memory ~10m (ai:8m read:2m) logged:2025-01-03 ref:https://x.com/irl_danB/status/2007259356103094523,https://github.com/irl-dan/progressive-memory completed:2026-02-07 verified:2026-02-07
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- Notes: progressive-memory (0 stars, Shell, MIT): Filesystem-based progressive disclosure for agent memory. Uses 3-level files (one-liner / summary / full detail) loaded via head/sed/cat. clawdbot (0 stars): Multi-platform AI assistant, minimal content. Evaluation: 1) Progressive disclosure pattern is sound -- aidevops already uses this for subagents (AI-CONTEXT-START blocks, YAML frontmatter), 2) aidevops memory-helper.sh with SQLite FTS5 is more capable (search, consolidation, auto-capture, cross-session), 3) The filesystem approach is simpler but doesn't scale for search/dedup. Recommendation: No adoption needed. aidevops already implements the progressive disclosure pattern more robustly.
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- [ ] t031 Company orchestration agent/workflow inspired by @DanielleMorrill #agents #business #auto-dispatch ~20m model:sonnet ref:GH#512 assignee:marcusquinn started:2026-02-21T03:17:27Z logged:2025-01-03 ref:https://x.com/DanielleMorrill/status/2007508036584341899
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- [x] t031 Company orchestration agent/workflow inspired by @DanielleMorrill #agents #business #auto-dispatch ~20m model:sonnet ref:GH#512 assignee:marcusquinn started:2026-02-21T03:17:27Z logged:2025-01-03 ref:https://x.com/DanielleMorrill/status/2007508036584341899 pr:#2054 completed:2026-02-21
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- Notes: Company-level agent orchestration - AI agents managing company functions (HR, Finance, Operations, Marketing) coordinating via runner-helper.sh. Extends t109 (Parallel Agents). Scope: 1) Document company-level agent patterns, 2) Create example runners for common company functions (hiring-coordinator, finance-reviewer, ops-monitor), 3) Integrate with coordinator-helper.sh for cross-function task dispatch.
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- [x] t032 Create performance skill/subagent/command inspired by @elithrar #tools #performance ~30m actual:25m (ai:20m test:5m read:5m) logged:2025-01-03 started:2026-01-25T15:00Z completed:2026-01-25 ref:https://x.com/elithrar/status/2007455910218871067 verified:2026-01-25
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- Notes: Created tools/performance/performance.md subagent and /performance command. Uses Chrome DevTools MCP for Core Web Vitals (FCP, LCP, CLS, FID, TTFB), network dependency analysis, and accessibility auditing. Actionable output format with file:line references. PR #209 merged.

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