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ROADMAP.md

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Roadmap

Current State (September 2025)

  • Unified discovery DTOs power trending, search, recommendations, and stack insights on both client and server.
  • Discovery API integrations support npm, PyPI, GitHub, and Docker with status reporting and fallback logic.
  • Stack Intelligence, budgeting, and optimisation routes consume the normalised helpers for popularity, pricing, and timestamps.
  • Client views (Discovery Hub, Discover Tools, My Stack, Stack Intelligence) render shared metrics and badges via helper utilities.
  • Mapper unit tests verify DTO conversions; development workflow uses pm run dev (Express + Vite) and Drizzle migrations via pm run db:push.

Near-Term (Next 2 Sprints)

  1. Discovery Data Plumbing
    • Implement storage.getDiscoveredToolsByIds to remove synthetic fallbacks in /api/discovery/cost-impact.
    • Persist lookup traces for discovery source statuses and surface them in Discover Tools.
  2. Client/Server Contracts
    • Finish migrating remaining legacy surfaces (client/src/pages/discover-tools.tsx add-to-stack response typing, Chart widgets) to DiscoveryToolSummary-backed schemas.
    • Add Zod response validation for cost-impact and budgeting routes.
  3. Resilience & Observability
    • Centralise logging/metrics for discovery source adapters; expose failure counters via /api/discovery/statistics.

Mid-Term Enhancements

  • Personalised Discovery Pipelines – Persist user stack heuristics and tune recommendation weights (popularity vs. quality, cost sensitivity).
  • Search Experience – Introduce filters for pricing, difficulty, and languages backed by server facets; add pagination tokens for large result sets.
  • Testing & QA – Add integration tests for discovery routes (mocking upstream APIs) and Cypress smoke tests for the discovery hub flows.

Long-Term Vision

  • Unified Storage Layer – Replace ad-hoc CSV seeding utilities with scripted migrations & fixtures; expose REST + GraphQL endpoints.
  • Automation & Retraining – Schedule periodic discovery scans and anomaly detection for “tools degrading quickly”.
  • Ecosystem Integrations – Ship plug-ins for Jira/GitHub issues linking stack intelligence recommendations to tracked work items.