0% read on this device
Browse the curriculum

Start Here

Vision

First Principles

Operating Model

Domain Model

Agent Factory

Runtime Architecture

AI Engineering

Autonomous Workflows

Verification & Delivery

Factory Platform

Quality Engineering

Security & Governance

Case Studies

Labs

Interview Practice

Research Journal

Reference

Curriculum/Quality Engineering/A focused view of boundaries, contracts, state, authority, failure paths, and tradeoffs drawn from this chapter.
Quality Engineering4 min readchapter

Release, Production Feedback, and Factory SRE

A review ready pull request is not customer value. Merge, deployment, runtime health, rollback, and outcome confirmation remain separate claims. A factory that stops at code generation can accelerate inventory while ignoring whether the cha

Status: Draft for studyRisk: highLifecycle: verify · deliver · learnContent reviewed 2026-08-11Maturity guide →
Claim boundaryThis is curriculum guidance. It does not by itself prove a production implementation.
architecture mode

A focused view of boundaries, contracts, state, authority, failure paths, and tradeoffs drawn from this chapter.

Whiteboard exercise

Reconstruct and defend this chapter’s architecture.

Reconstruct the architecture, name each boundary, and defend the tradeoffs.

qualityevidence4 min chapter
Open the source exercise

Draw PR through outcome confirmation using an external CI/CD system. Add a stale head SHA, failed canary, irreversible migration, delayed incident, provider webhook replay, and rollback. Name each authoritative record and owner.

4. Tradeoffs and alternatives

Long observation windows increase confidence and delay final outcome accounting. Short windows provide faster feedback and miss slow failures. Use workload policy and distinguish preliminary from final outcome.

Automatic rollback reduces impact but can hide repeated defects or worsen data consistency. Rollback is an engineered capability with its own evidence, not a universal undo button.

Centralizing all deployment inside the factory creates coupling. Delegation preserves existing delivery investments but requires strong correlation and reconciliation.

5. Current Mission Control Implementation

At commit b31e275, Mission Control has deployment records, release gates, approval and evidence linkage, GitHub PR/check ingestion, alerts, health queries, run events, and a retention policy. V1 decisions keep merge human-owned and select governed GitHub Issues linked to exact repository and commit as the source for production defects, incidents, and rollbacks.

These mechanisms do not prove a complete Mission-to-production golden path. Deployment execution and customer-outcome confirmation are partial. Some Factory Health metrics are inferred from Task, run, approval, and verifier proxies rather than accepted WorkOrders and production outcomes. The current golden path still ends at a review-ready PR.

Study branch 9d5f8e3 improves the real PR publication boundary, but PR #64 is open and the browser-only proof remains incomplete. PR #61 proves one real GitHub App PR with passing CI, not deployment or customer value.

External review

Review this chapter.

Challenge a claim, boundary, missing failure mode, unclear term, or unsupported evidence statement.

  • Claim
  • Boundary
  • Failure
  • Evidence