Release Readiness

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Release Readiness Scorecard

Scoring Methodology

Each dimension is scored 1-10 based on what is ACTUALLY implemented and verified in the codebase. Scores reflect current state, not planned features.

• 9-10: Production-ready, minimal gaps
• 7-8: Functional with known gaps, safe for internal use
• 5-6: Partially implemented, needs work before any real use
• 3-4: Scaffolded but largely incomplete
• 1-2: Missing or non-functional

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Dimension Scores

#	Dimension	Score	Justification
1	Product Clarity	8/10	Clear purpose (local AI orchestration), good UI with 17+ pages, model selector, file picker, context packs. Coherent vision well-executed.
2	UX Trust	7/10	Routing transparency (decision visible to user), model attribution in responses. Missing: memory injection indicators, no "thinking" state for context assembly.
3	Backend Completeness	8/10	All services (17 at the time) operational. Context assembly, memory extraction, connector management, routing policies all wired. Real business logic, not stubs.
4	Frontend Completeness	8/10	17 pages, model selector, file attachment picker, context packs, settings, admin panel. Library wrapping rule followed. i18n present.
5	Routing Correctness	7/10	Ollama-assisted routing decisions, routing policies wired, multi-connector support. Gap: stale health cache may route to down connectors, no model existence verification.
6	Anti-Hallucination	7/10	temperature=0 defaults, Zod validation on all inputs, model allowlist. Gap: no runtime check that selected model actually exists on connector, no output validation.
7	Memory/Context	7/10	Memory extraction from conversations is real, deduplication added, context injection during message handling. Gap: no contradiction detection, no memory decay/relevance scoring.
8	File Support	6/10	Chunking pipeline real (JSON/CSV/Markdown/text), internal retrieval endpoint, file IDs in message DTO. Gap: no vector embeddings, no semantic search, no PDF support, brute-force chunk injection.
9	Observability	8/10	Comprehensive structured logging across all services, 10 audit event types, usage ledger for token tracking, pino with redaction, client log batching. Gap: no distributed tracing, no alerting.
10	Docker/DevOps	9/10	22+ containers orchestrated, install scripts (bash+PowerShell), health checks on all containers, hot reload, Prisma auto-migration, single .env management. Gap: no production Dockerfiles.
11	Security	7/10	JWT + refresh rotation, RBAC (3 roles), rate limiting (all services), Helmet, Zod, Prisma ORM, AES-256-GCM encryption, log redaction. Gap: no TLS, no circuit breaker, no service-to-service auth.
12	Performance	6/10	No load testing performed. 7 PostgreSQL instances (6 relational + pgvector) is heavy for a single machine. No caching strategy beyond Redis sessions. No connection pooling config.
13	Reliability	6/10	No message retry mechanism. No Dead Letter Queue for RabbitMQ failures. No circuit breaker between services. Health checks exist but no automated recovery.
14	Test Coverage	6/10	Tests in 10 of the services (58 files at the time), Jest framework. But: no E2E tests, no integration tests, two services with 0 tests, CI tolerates test failures, no coverage thresholds.
15	Business Readiness	7/10	Clear value proposition (local-first AI orchestration). Usage ledger for cost tracking. Admin panel for management. Gap: no billing integration, no user onboarding flow, no documentation for end users.
16	Release Risk	5/10	Medium risk. Internal use is safe (auth works, data is isolated, Docker is solid). Production needs: TLS, circuit breakers, DLQ, integration tests, secret management, backup strategy.

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Summary Statistics

Metric	Value
Total Score	112 / 160
Average Score	7.0 / 10
Highest Scoring	Docker/DevOps (9), Backend (8), Frontend (8), Observability (8), Product Clarity (8)
Lowest Scoring	Release Risk (5), Performance (6), Reliability (6), Test Coverage (6), File Support (6)

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Score Distribution

9-10  ████████░░  1 dimension  (Docker/DevOps)
7-8   ████████░░  9 dimensions (Product, UX, Backend, Frontend, Routing, Anti-Hallucination, Memory, Observability, Security, Business)
5-6   ████████░░  5 dimensions (File Support, Performance, Reliability, Test Coverage, Release Risk)
3-4   ░░░░░░░░░░  0 dimensions
1-2   ░░░░░░░░░░  0 dimensions

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Go / No-Go Recommendation

GO for Internal Use

The platform is ready for internal deployment within a controlled environment:

• Authentication and authorization are solid
• All services are functional and interconnected
• Docker orchestration makes deployment trivial
• Observability provides sufficient visibility for internal debugging
• Rate limiting prevents accidental abuse

CONDITIONAL GO for Staged Rollout

The platform can be rolled out to a small external audience IF:

1. TLS is added (non-negotiable for any network-exposed deployment)
2. Circuit breakers are added between services
3. Dead Letter Queues are configured for RabbitMQ
4. Integration tests are added and passing in CI
5. Database backup strategy is implemented
6. Secret management is implemented (no plaintext .env in production)

NO-GO for Production / Public Launch

The platform is NOT ready for public production deployment due to:

• No TLS/HTTPS
• No production Dockerfiles or deployment pipeline
• No load testing or performance benchmarks
• No disaster recovery / backup strategy
• Test failures tolerated in CI
• No dependency vulnerability scanning

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Risk Matrix

Risk	Likelihood	Impact	Mitigation Priority
Data loss from RabbitMQ failure	Medium	High	P1 — Add DLQ
Cascading service failure	Medium	High	P1 — Add circuit breaker
Token interception (no TLS)	High (on network)	Critical	P0 — Add TLS
Database loss (no backups)	Low	Critical	P1 — Add backup automation
Performance degradation under load	Unknown	Medium	P2 — Load test first
Dependency vulnerability exploit	Medium	High	P2 — Add scanning
Silent test regression	High	Medium	P1 — Enforce test failures in CI

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30-Day Improvement Roadmap

Week 1: Foundation

• Add TLS to Nginx
• Make test failures block CI
• Add tests to 0-test services

Week 2: Reliability

• Add circuit breaker (e.g., cockatiel, opossum)
• Add DLQ for RabbitMQ
• Add database backup cron

Week 3: Production Readiness

• Add production Dockerfiles
• Add secret management
• Add integration test CI job

Week 4: Performance and Validation

• Run load tests
• Add Playwright E2E tests for critical flows
• Add dependency vulnerability scanning
• Final release sign-off