v3.0.0 — AI Engineering Operating System and Ecosystem GA¶

Purpose: Feature specification for Evidence Graph, Digital Twin, and Release Autopilot. 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-ga Lifecycle: planned Review: before implementation and at every lifecycle promotion

Identity¶

Feature ID: evidence-digital-twin-autopilot
Classification: committed
Owner: Forgevena Architecture and Ecosystem Maintainers

Purpose and Problem¶

Connect requirements, architecture, code, tests, policies, packages, releases, risks, operations, and recovery into explainable engineering evidence.

Business and Developer Value¶

Teams can assess readiness, rehearse recovery, and automate evidence preparation while retaining human promotion authority.

Architecture¶

Metadata-only project digital twins and evidence graphs feed bounded workflow plans, engineering capsules, and resilience exercises.

Dependencies¶

unified-ai-engineering-os

Configuration and User Flow¶

Configuration is schema-validated, secret-reference-only, previewable, exportable without secrets, and governed by scope. The user flow is inspect, preview, validate, approve, apply, verify, and roll back.

CLI, Dashboard, and API Flow¶

CLI, dashboard, SDK, and API surfaces call the same domain service. Structured responses include operation ID, status, warnings, planned changes, policy result, and evidence references. No interface may bypass consent or policy.

Security, Privacy, and Reliability¶

Permissions, data classes, trust roots, external effects, timeouts, retries, cancellation, audit, recovery, and rollback are explicit. Prompts, responses, tokens, credentials, and unapproved source content are excluded from logs and diagnostics.

Testing and Acceptance¶

Evidence links are verifiable.
Autopilot cannot promote releases.
Capsules reproduce offline with signed manifests.

Performance Targets¶

The feature must publish an approved baseline, remain within the platform's 20% regression budget, and define tighter latency, throughput, resource, and cost targets before preview.

Migration and Documentation¶

Migration is preview-first, versioned, reversible, and compatible with the previous two stable releases where applicable. CLI help, schemas, examples, troubleshooting, operations, security, and migration guidance ship with implementation.

Risks¶

Stale evidence graph.
Automation could be mistaken for approval.

Future Expansion¶

Expansion remains in the Evidence Funnel and requires a new feature ID or approved scope change; it cannot be inferred from this specification.