Risk Mitigation Tracker

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This document aggregates outstanding risks for the remaining implementation along with mitigation strategies and monitoring actions.

Summary Table

RiskImpactLikelihoodMitigationOwnerStatus
Rust submodule divergenceHighMediumPin commit, weekly sync review, mix codex.verifySDK LeadOpen
Fixture drift vs PythonHighMediumAutomate harvesting, checksum manifest, nightly diffQAOpen
Cross-platform binary behaviorMediumMediumCI macOS job, Docker image parity, manual smoke testDevOpsOpen
Tooling API mismatchHighMediumContract tests for auto-run/tool call parity, design review with Python teamFeature SquadOpen
Attachment storage bloatMediumMediumTTL cleanup job, telemetry alert on staged byte countPlatformOpen
Telemetry overloadLowMediumSampling config, doc guidance, load tests pre-releaseObservabilityPlanned
Approval deadlocksHighLowDefault timeouts & fallback policies, Supertester stress testsSecurityOpen
Coverage regressionMediumMediumCoverage gate in CI, parity harness coverage reportQAPlanned
Documentation lagMediumMediumUpdate docs per milestone, doc review checklistDocsOpen

Detailed Entries

Rust Submodule Divergence

  • Context: Vendored codex-rs must track upstream without accumulating local hacks.
  • Mitigation Actions
    • Establish weekly cron to fetch upstream and open PR if divergence detected.
    • Store patches under patches/codex-rs/ and re-apply automatically.
    • Require changelog entry and integration tests before bumping commit.
  • Monitoring

Fixture Drift vs Python

  • Context: Golden JSONL fixtures can fall out of date as Python evolves.
  • Mitigation
    • Maintain manifest with SHA256 per fixture.
    • Nightly CI job regenerates fixtures and fails if checksum changes.
    • Use GitHub issues template for documenting accepted fixture diffs.

Tooling API Mismatch

  • Context: Tool registry/auto-run semantics must mirror Python.
  • Mitigation
    • Schedule design review with Python maintainers before implementation.
    • Build contract tests for tool invocation transcripts.
    • Maintain parity checklist for tooling features (decorators, metadata, approvals).

Approval Deadlocks

  • Context: Misconfigured approval policies could hang turn execution.
  • Mitigation
    • Enforce default timeout with abort + error surface.
    • Provide async queue implementation with supervision.
    • Stress test using Supertester chaos helpers (simulate slow/failed approvals).

Coverage Regression

  • Context: As features land, coverage/lint gates must remain enforced.
  • Mitigation
    • Set baseline threshold in mix coveralls.
    • Document process for adjusting baseline only with QA approval.
    • Integrate coverage trend reporting into CI dashboards.