v3.0.0 — AI Engineering Operating System and Ecosystem GA¶
Purpose: Defines the mandatory security, privacy, safety, quality, accessibility, and performance evidence. Audience: product, architecture, engineering, security, operations, documentation, release, and AI coding agents Owner: Forgevena Architecture and Ecosystem Maintainers Roadmap authority:
docs/strategy/FORGEVENA_VERSIONED_PRODUCT_ROADMAP.md#v300--ai-engineering-operating-system-and-ecosystem-gaLifecycle: planned Review: before implementation and at every lifecycle promotion
Threat and Privacy Review¶
Threat modeling covers trust boundaries, identity, authorization, secrets, data egress, supply chain, abuse, denial of service, rollback, and incident recovery. Data classification covers collection, purpose, retention, deletion, residency, export, and revocation.
AI Safety and Human Authority¶
AI-assisted behavior is bounded, explainable, cancellable, budgeted, evaluated with deterministic fixtures, and read-only by default. Mutation, deployment, billing, publication, credential use, and policy changes require explicit human authority.
Quality Gates¶
- Critical security, privacy, policy, trust, migration, rollback, and contract controls: 100%.
- Important architecture, API, operations, accessibility, and release controls: 95%.
- Standard quality and developer-experience controls: 90%.
- No overall score compensates for a mandatory failure.
Version Acceptance Gates¶
- Two release candidates pass migration, rollback, disaster recovery, federation, and offline rehearsals.
- Project digital twins and evidence graphs remain metadata-minimized and explainable.
- Human authority governs mutation, deployment, billing, publication, trust, and policy promotion.