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Add Harness Engineering control plane fitness reports (EN + ZH)#34

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Add Harness Engineering control plane fitness reports (EN + ZH)#34
Copilot wants to merge 2 commits intomainfrom
copilot/evaluate-harness-engineering-capabilities

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Copilot AI commented Mar 29, 2026

Deep analysis of the orchestrator's real fitness as a Harness Engineering control plane — the discipline OpenAI defined for governing AI coding agents at scale. Both English and Chinese versions.

Overall score: 84/100

Reports added

  • docs/report/harness-engineering-fitness-report-en.md
  • docs/report/harness-engineering-fitness-report-zh.md

Dimensions evaluated

Dimension Score TL;DR
Functional Completeness 85 Core harness requirements met; no CI/CD or REST API
Business Process Rationality 92 4-layer self-referential safety is genuinely novel
System Security 88 mTLS, RBAC, AES-256-GCM-SIV, sandbox, OWASP ASVS L2
Architecture 86 Clean 6-layer, 14-crate workspace; single-node ceiling
Performance 72 WAL + 32 indexes good; no app cache, no benchmarks
Technical Debt 82 19 tests/KLOC, 0 clippy warnings; core crate still 60K LOC

Key findings

  • Strongest: Constraint enforcement (95) and guardrails (95) — the two most critical harness requirements
  • Weakest: No observability export, no distributed scaling, no native CI/CD connectors
  • Unique differentiators: Self-referential safety mechanism, CEL-everywhere, K8s-style resource model, agent health scoring with quarantine

Methodology

Metrics gathered from live codebase analysis (109K LOC, 319 files, 2,074 tests, 51 RPCs, 30 DB tables, 32 indexes, 348 docs). Cross-referenced against OpenAI's harness engineering requirements checklist (18 items, 14 met, 4 gaps).


✨ Let Copilot coding agent set things up for you — coding agent works faster and does higher quality work when set up for your repo.

Deep analysis of orchestrator as a Harness Engineering control plane
covering: functional completeness, business process rationality,
system security, architecture advancement, performance optimization,
and technical debt. Overall score: 84/100.

Agent-Logs-Url: https://github.com/c9r-io/orchestrator/sessions/6807e1ff-a046-48e0-8f76-573601ad67d9

Co-authored-by: gpgkd906 <869103+gpgkd906@users.noreply.github.com>
Copilot AI changed the title [WIP] Evaluate project capabilities for Harness Engineering control plane Add Harness Engineering control plane fitness reports (EN + ZH) Mar 29, 2026
Copilot AI requested a review from gpgkd906 March 29, 2026 07:48
@gpgkd906
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gpgkd906 commented Apr 1, 2026

Closing: Copilot-generated draft PR, not aligned with project contribution model.

@gpgkd906 gpgkd906 closed this Apr 1, 2026
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2 participants