Skip to content

ROADMAP.md

Latest commit

 

History

History
604 lines (472 loc) · 14.1 KB

ROADMAP.md

File metadata and controls

604 lines (472 loc) · 14.1 KB

ResearchHive: Implementation Roadmap

Overview

This roadmap outlines a 3-month sprint to build a production-ready MVP of ResearchHive. The plan assumes a solo full-stack architect working full-time, with clear milestones and deliverables.

Phase 1: Foundation (Weeks 1-4)

Week 1: Project Setup & Infrastructure

Goals:

  • ✅ Set up monorepo structure with Turborepo
  • ✅ Configure development environment
  • ✅ Set up basic CI/CD pipeline
  • ✅ Deploy initial infrastructure

Tasks:

  • Initialize Turborepo with TypeScript
  • Set up ESLint, Prettier, Husky
  • Configure GitHub Actions for CI
  • Set up DigitalOcean Kubernetes cluster
  • Deploy PostgreSQL, Redis, RabbitMQ via Helm
  • Configure domain and SSL certificates

Deliverables:

  • Monorepo with 3 apps (web, api, cms)
  • Working CI pipeline (lint, test, build)
  • Deployed infrastructure services
  • Documentation for local development

Success Metrics:

  • All services accessible via HTTPS
  • CI pipeline runs in <5 minutes
  • Local development works with pnpm dev

Week 2: Core Backend Services

Goals:

  • ✅ Set up tRPC API with authentication
  • ✅ Integrate Logto for auth
  • ✅ Set up PostgreSQL schema
  • ✅ Implement basic CRUD operations

Tasks:

  • Create tRPC router structure
  • Set up Logto application and configure
  • Design database schema (users, teams, research)
  • Implement Prisma models and migrations
  • Create user registration/login flows
  • Set up Redis session store
  • Implement RBAC middleware

Deliverables:

  • Working authentication system
  • Database schema and migrations
  • tRPC API with 10+ endpoints
  • API documentation (tRPC panel)

Success Metrics:

  • Users can register and log in
  • JWT tokens issued and validated
  • Database queries <50ms (p95)
  • 90%+ test coverage for auth

Week 3: Strapi CMS Setup & Customization

Goals:

  • ✅ Deploy Strapi with custom content types
  • ✅ Create research project management
  • ✅ Build first custom plugin

Tasks:

  • Install and configure Strapi v4
  • Create content types (research, citations, teams)
  • Build vector search plugin (basic)
  • Integrate with PostgreSQL
  • Configure GraphQL and REST APIs
  • Set up admin panel customizations
  • Connect Strapi to main API

Deliverables:

  • Strapi CMS with custom types
  • Vector search plugin (v0.1)
  • Admin dashboard for research management
  • API integration with main backend

Success Metrics:

  • Can create/edit research projects in admin
  • GraphQL API returns data correctly
  • Plugin search works for 1K documents

Week 4: Frontend Foundation

Goals:

  • ✅ Build Next.js 14 app with design system
  • ✅ Implement authentication UI
  • ✅ Create core layouts and navigation

Tasks:

  • Set up Next.js 14 with App Router
  • Configure Tailwind CSS and Shadcn/ui
  • Build authentication pages (login, register, logout)
  • Create dashboard layout with sidebar
  • Implement responsive navigation
  • Set up tRPC client
  • Build user settings page

Deliverables:

  • Responsive web app (mobile to desktop)
  • Authentication flows with Logto
  • Dashboard skeleton
  • Design system documentation

Success Metrics:

  • Lighthouse score >90 (all metrics)
  • WCAG AA compliant
  • <2s initial page load
  • Works on mobile (320px+)

Phase 2: AI Integration (Weeks 5-8)

Week 5: Agent Orchestration Setup

Goals:

  • ✅ Integrate claude-flow for multi-agent swarm
  • ✅ Set up AgentDB for vector storage
  • ✅ Build first research agent

Tasks:

  • Install and configure claude-flow
  • Initialize AgentDB with SQLite backend
  • Create swarm orchestrator service
  • Build web scraper agent (Puppeteer)
  • Implement agent lifecycle management
  • Set up agent monitoring
  • Create task queue with RabbitMQ

Deliverables:

  • Working swarm orchestrator
  • 1 functional research agent
  • AgentDB integrated and indexed
  • Agent monitoring dashboard

Success Metrics:

  • Can spawn 8 agents in <2s
  • Agents complete tasks successfully
  • Memory persists across sessions
  • Queue processes 100 tasks/min

Week 6: Research Agents Implementation

Goals:

  • ✅ Build 8 specialized research agents
  • ✅ Implement parallel execution
  • ✅ Add source credibility scoring

Tasks:

  • Academic search agent (arXiv, PubMed)
  • News aggregator agent (NewsAPI)
  • Social media agent (Twitter, Reddit)
  • Government data agent (Data.gov)
  • Implement parallel execution controller
  • Build source credibility scorer
  • Add duplicate detection
  • Implement rate limiting per source

Deliverables:

  • 8 functional research agents
  • Parallel execution working
  • Credibility scoring algorithm
  • Duplicate detection system

Success Metrics:

  • Research completes in <5 min (standard)
  • 10+ unique sources per research
  • Credibility scores >80% accurate
  • Zero duplicate sources

Week 7: HuggingFace Model Integration

Goals:

  • ✅ Integrate 5 HuggingFace models
  • ✅ Build analysis agents
  • ✅ Implement caching strategy

Tasks:

  • Summarization service (BART)
  • NER service (BERT)
  • Sentiment analysis service (DistilBERT)
  • Embedding service (all-MiniLM)
  • QA service (RoBERTa)
  • Build 4 analysis agents
  • Implement Redis caching
  • Add cost tracking

Deliverables:

  • 5 HuggingFace services
  • 4 analysis agents
  • Caching layer with Redis
  • Cost tracking dashboard

Success Metrics:

  • Summarization <3s per document
  • Cache hit rate >60%
  • Monthly AI costs <$50
  • Analysis accuracy >85%

Week 8: Knowledge Graph & Synthesis

Goals:

  • ✅ Integrate Neo4j for knowledge graphs
  • ✅ Build synthesis agents
  • ✅ Implement graph visualization

Tasks:

  • Set up Neo4j database
  • Build knowledge graph builder agent
  • Implement entity relationship discovery
  • Create causal inference engine
  • Build report generator agent
  • Integrate React Flow for visualization
  • Add graph query API
  • Implement graph export (JSON, GraphML)

Deliverables:

  • Neo4j knowledge graph
  • 2 synthesis agents
  • Interactive graph visualization
  • Graph query and export APIs

Success Metrics:

  • Graphs with 100+ nodes render <3s
  • Relationship accuracy >75%
  • Graph interactions at 60fps
  • Can export in 3+ formats

Phase 3: Real-Time & Collaboration (Weeks 9-10)

Week 9: Real-Time Infrastructure

Goals:

  • ✅ Implement WebSocket server
  • ✅ Build real-time collaboration features
  • ✅ Add presence detection

Tasks:

  • Set up Socket.io server
  • Implement WebSocket authentication
  • Build Redis Pub/Sub for multi-server sync
  • Create presence system (who's online)
  • Implement live cursor sharing
  • Add real-time research updates
  • Build notification system
  • Add connection recovery

Deliverables:

  • WebSocket server (Socket.io)
  • Real-time collaboration system
  • Presence indicators
  • Push notifications

Success Metrics:

  • <100ms update latency
  • Supports 100 concurrent users
  • Zero data loss on disconnect
  • Cursor positions update 60fps

Week 10: MCP Protocol Implementation

Goals:

  • ✅ Implement MCP server and client
  • ✅ Expose research tools via MCP
  • ✅ Build VS Code extension

Tasks:

  • Set up MCP server with SSE transport
  • Implement stdio transport for CLI
  • Expose 6 research tools
  • Create MCP client library
  • Build VS Code extension
  • Add MCP to web frontend
  • Write MCP documentation
  • Create demo video

Deliverables:

  • MCP server with 6 tools
  • MCP client for web and VS Code
  • VS Code extension published
  • MCP documentation and examples

Success Metrics:

  • MCP tools respond <500ms
  • VS Code extension has 100+ installs
  • 5-star extension rating
  • Clear documentation with examples

Phase 4: Polish & Launch (Weeks 11-12)

Week 11: Testing & Optimization

Goals:

  • ✅ Achieve 90%+ test coverage
  • ✅ Optimize performance
  • ✅ Fix critical bugs

Tasks:

  • Write unit tests (Vitest)
  • Write integration tests (API)
  • Write E2E tests (Playwright)
  • Performance audit and optimization
  • Security audit (OWASP top 10)
  • Accessibility audit (WCAG)
  • Load testing (k6)
  • Bug bash and fixes

Deliverables:

  • 90%+ test coverage
  • Performance optimization report
  • Security audit report
  • Accessibility compliance

Success Metrics:

  • All tests passing
  • Page load <2s (p95)
  • Zero critical security issues
  • WCAG AA compliant

Week 12: Documentation & Launch

Goals:

  • ✅ Complete documentation
  • ✅ Prepare for public launch
  • ✅ Launch on Product Hunt

Tasks:

  • Write comprehensive README
  • Create video demo (5 min)
  • Write getting started guide
  • API documentation (OpenAPI/tRPC)
  • Architecture decision records (ADRs)
  • Deployment guide (K8s)
  • Create Product Hunt listing
  • Prepare launch blog post
  • Set up analytics (PostHog, Plausible)
  • Launch on Product Hunt!

Deliverables:

  • Complete documentation site
  • Video demo on YouTube
  • Product Hunt launch
  • Launch blog post on dev.to

Success Metrics:

  • #1 Product of the Day on Product Hunt
  • 500+ upvotes on Product Hunt
  • 1K+ GitHub stars in first week
  • 100+ beta signups

Post-Launch: Iteration & Growth (Ongoing)

Month 4: Community Building

Goals:

  • Grow user base to 1,000 active users
  • Build contributor community
  • Publish blog posts

Tasks:

  • Engage with early users
  • Fix reported bugs quickly
  • Add most-requested features
  • Publish blog post #1 (cost optimization)
  • Publish blog post #2 (multi-agent)
  • Set up Discord community
  • Create contribution guide
  • Host first community call

Success Metrics:

  • 1,000 active users
  • 100 Discord members
  • 2 blog posts published
  • 10+ external contributors

Month 5: Enterprise Features

Goals:

  • Build enterprise-ready features
  • Start monetization
  • Scale infrastructure

Tasks:

  • SSO integration (SAML, OIDC)
  • Advanced RBAC with teams
  • Audit logging
  • SLA monitoring
  • Self-hosting guide
  • Enterprise pricing page
  • Sales documentation
  • Horizontal scaling

Success Metrics:

  • 5 enterprise pilots
  • 99.9% uptime
  • 10K concurrent users supported
  • First paying customer

Month 6: Platform Ecosystem

Goals:

  • Enable third-party integrations
  • Launch plugin marketplace
  • Scale to 10K users

Tasks:

  • Plugin SDK
  • Marketplace for plugins
  • Zapier integration
  • Make.com integration
  • Slack bot
  • Chrome extension
  • Mobile PWA
  • API rate limiting tiers

Success Metrics:

  • 20+ plugins in marketplace
  • 10K active users
  • 100 paying teams
  • $10K MRR

Technical Milestones

Infrastructure Scaling Checkpoints

Milestone Users Infrastructure Estimated Cost/Month
MVP Launch 100 1x K8s cluster (2 nodes), managed DB $100
Beta 1,000 1x K8s cluster (4 nodes), read replica $250
V1.0 10,000 2x K8s clusters, 2 replicas, CDN $800
Scale 100,000 Multi-region, auto-scaling, caching $3,000

Feature Completion Timeline

Week 1-4:  ████████░░░░░░░░░░░░ 40% (Foundation)
Week 5-8:  ████████████████░░░░ 80% (AI Integration)
Week 9-10: ██████████████████░░ 90% (Real-Time)
Week 11-12:████████████████████ 100% (Polish & Launch)

Risk Mitigation

Technical Risks

Risk: AI costs spiral beyond budget Mitigation:

  • Implement aggressive caching
  • Use local models where possible
  • Set hard spending limits
  • Monitor costs daily

Risk: Performance degrades at scale Mitigation:

  • Load testing from week 1
  • Horizontal scaling built-in
  • Performance budgets enforced
  • Monitoring and alerting

Risk: Security vulnerabilities Mitigation:

  • Security audit at week 11
  • Dependency scanning in CI
  • Bug bounty program post-launch
  • Regular penetration testing

Business Risks

Risk: No users at launch Mitigation:

  • Build in public (Twitter, YouTube)
  • Email list from week 1
  • Beta program with 100 users
  • Product Hunt strategy

Risk: Competitors launch similar product Mitigation:

  • Move fast (12-week timeline)
  • Open-source core (community moat)
  • Unique multi-agent approach
  • Superior UX

Success Criteria

MVP Success (End of Week 12)

  • ✅ 100+ active users
  • ✅ 1,000+ GitHub stars
  • ✅ Product Hunt top 5 of the day
  • ✅ 5-star user rating (4.5+ average)
  • ✅ <5 critical bugs
  • ✅ 99% uptime in launch week

6-Month Success

  • ✅ 10,000+ active users
  • ✅ 100 paying teams
  • ✅ $10K MRR
  • ✅ 15K+ GitHub stars
  • ✅ 5 blog posts published
  • ✅ 2 conference talks accepted
  • ✅ Featured in major tech publications

Career Impact

  • ✅ 10+ job opportunities from project visibility
  • ✅ Speaking invitations to conferences
  • ✅ Consulting inquiries
  • ✅ Recognized as expert in AI architecture
  • ✅ LinkedIn profile views 10x increase
  • ✅ Portfolio piece that stands out

Resources & Tools

Development

  • IDE: VS Code with extensions
  • Terminal: iTerm2 / Windows Terminal
  • API Testing: Insomnia / Postman
  • Database: TablePlus / pgAdmin
  • Design: Figma (UI mockups)

Monitoring & Ops

  • Logs: Better Stack / Papertrail
  • Errors: Sentry
  • Analytics: PostHog + Plausible
  • Uptime: Better Stack
  • APM: Prometheus + Grafana

Communication

  • Team: Discord server
  • Users: Email (Loops.so)
  • Social: Twitter/X for updates
  • Blog: dev.to + personal site

Learning Resources

  • Docs: claude-flow wiki, HuggingFace docs
  • Communities: AI Discord servers, Reddit
  • Courses: Udemy (Kubernetes, microservices)
  • Books: Designing Data-Intensive Applications

Conclusion

This 12-week roadmap provides a clear path from concept to launch. By following this plan, you'll build a production-ready, portfolio-worthy AI platform that demonstrates expertise in:

  • ✅ Full-stack architecture
  • ✅ AI/ML integration
  • ✅ Open-source development
  • ✅ Real-time systems
  • ✅ DevOps and infrastructure
  • ✅ Product development

Ready to build? Let's go! 🚀