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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/Start Here/Complete source chapter
Start Here2 min readchapter

Curriculum Changelog

Material changes to scope, terminology, maturity, architecture, and review status are recorded here. Minor punctuation and formatting corrections may be grouped.

Status: ActiveRisk: variableLifecycle: learnContent reviewed 2026-08-30Maturity guide →
Claim boundaryThis is curriculum guidance. It does not by itself prove a production implementation.

Material changes to scope, terminology, maturity, architecture, and review status are recorded here. Minor punctuation and formatting corrections may be grouped.

2026-08-30 — Reference architecture depth release

Added

  • A detailed architecture ownership and coverage matrix.
  • Four synchronized reference-architecture views: lifecycle, logical components, deployment/trust boundaries, and authority/evidence.
  • Governed factory-system inventory, governance operating model, decision rights, ten-family control catalog, and emergency-control semantics.
  • Twelve orchestration component families, runtime envelopes, state, stop, failure, recovery, capacity, cost, and compatibility contracts.
  • AI systems foundations, permission-aware knowledge and retrieval pipeline, tool/skill/integration contracts, multi-agent collaboration contracts, and a minimum-sufficient autonomy ladder.
  • Enterprise operations and FinOps reference plus a control-tower response lifecycle from observation through verified improvement.
  • Four failure-injection labs covering authority, orchestration, knowledge, and external capabilities.
  • A public architecture hub with lifecycle, plane, component, governance, inventory, pattern, monitoring, data-flow, and evidence views.

Changed

  • Deepened knowledge engineering, scheduling/capacity/cost, resilience/disaster recovery, and observability/forensics with specification-level contracts.
  • Expanded all navigation, learning, coverage, glossary, reviewer, and search surfaces while preserving Markdown as the source of truth.
  • Kept all new chapters review ready: documentation completeness does not advance implementation evidence to validated or operationally proven.

2026-08-30 — Autonomous factory coverage expansion

Added

  • Agent Factory capability supply chain, registries, packaging, dependency resolution, certification, promotion, deprecation, and revocation.
  • Repository onboarding, codebase intelligence, readiness, and drift.
  • An explicit autonomous engineering workflow catalog with change and operational workflow patterns.
  • Complete testing strategy, CI/CD, artifact, migration, compatibility, progressive-delivery, rollback, and production-verification coverage.
  • Developer portal, service catalog, golden paths, scheduling, capacity, cost, fairness, resilience, disaster recovery, and human-agent control surfaces.
  • Agentic threat modeling, workload identity, secrets, privacy, licensing, and compliance coverage.
  • Evaluation science, controlled experimentation, capability optimization, learning from success, and regression control.
  • Seven executable lab specifications for certification, repository onboarding, adversarial defense, delivery rollback, incident response, continual improvement, and disaster recovery.
  • Public capability coverage, maturity, reviewer guidance, and feedback paths.

Changed

  • Expanded Builder and Deep Study paths beyond pull-request generation into capability management, delivery, production verification, and learning.
  • Reworked topic discovery around section, persona, lifecycle, maturity, and risk filters.
  • Made document maturity visible in discovery views.
  • Clarified that review-ready curriculum does not imply an operationally proven implementation.

Known evidence boundaries

  • The original golden-path execution lab remains blocked until its exact runtime prerequisites and accepted browser evidence exist.
  • New executable labs are review-ready specifications; accepted lab runs are not yet claimed.
  • The complete mission-to-production and governed-improvement paths remain architectural targets until versioned operational evidence is retained.
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