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v1.10.0 โ€” Engineering Intelligence and Local Enterprise 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: Engineering Intelligence Maintainers Roadmap authority: docs/strategy/FORGEVENA_VERSIONED_PRODUCT_ROADMAP.md#13-v1100--engineering-intelligence-and-local-enterprise-ga Lifecycle: 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

  • Index build, update, ignore, retention, deletion, corruption, and recovery pass.
  • Copilots remain read-only by default and mutation plans are governed.
  • Two release candidates pass migration and rollback rehearsals with no critical/high findings.