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v2.6.0 — ForgeHub Intelligence and Experience

Purpose: Feature specification for Explainable Ecosystem Intelligence. Audience: product, architecture, engineering, security, operations, documentation, release, and AI coding agents Owner: ForgeHub Intelligence Maintainers Roadmap authority: docs/strategy/FORGEVENA_VERSIONED_PRODUCT_ROADMAP.md#v260--forgehub-intelligence-and-experience Lifecycle: planned Review: before implementation and at every lifecycle promotion

Identity

  • Feature ID: explainable-ecosystem-intelligence
  • Classification: committed
  • Owner: ForgeHub Intelligence Maintainers

Purpose and Problem

Recommend packages, updates, removals, deduplication, compatibility fixes, and health remediation using local evidence.

Business and Developer Value

Users improve workspaces without opaque ranking or data collection.

Architecture

A recommendation engine consumes approved metadata, policy, compatibility, dependency, and local usage evidence and emits rationale with freshness.

Dependencies

  • v2.5 organization inventories
  • v1.10 project intelligence

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

  • Every recommendation has rationale and evidence freshness.
  • Dismissal is respected.
  • No source profiling or hidden sponsorship exists.

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

  • Biased or stale recommendations.
  • Health scoring may be overinterpreted.

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.