CODITECT Project Intelligence Platform - Project Plan

Document Version: 1.0 Created: 2025-11-18 Status: Ready for Implementation Duration: 12 weeks (Phase 2-3) Budget: $107,520 (engineering + infrastructure) Team: 2 Full-Stack Engineers, 1 DevOps Engineer (part-time)

Project Overview

Purpose

Implement the CODITECT Project Intelligence Platform - a multi-tenant SaaS platform that transforms git repositories (checkpoints, conversations, tasks) into an interactive, searchable, AI-powered intelligence platform with enterprise-grade security.

Strategic Value

Executive Leadership: 80% reduction in status meeting time (10h/week → 2h/week)
Engineering Teams: 90% faster context discovery (1 hour → 5 minutes)
Auditors: 80% reduction in audit preparation time (40 hours → 8 hours)
Business: 108% ROI Year 1, 1,165% ROI Year 2

Architecture Highlights

Git-First: Database is derived view, git is source of truth
Multi-Tenant: PostgreSQL RLS for database-level tenant isolation
Semantic Search: ChromaDB vector embeddings for AI-powered discovery
Cloud-Native: GCP Cloud Run serverless architecture
Enterprise Security: RBAC (6 roles), comprehensive audit logging, SOC 2 ready

Implementation Phases

Phase 0: Foundation Complete ✅ (Weeks 1-2)

Status: ✅ COMPLETE

Deliverables:

✅ Software Design Document (67,000 words)
✅ C4 Architecture Diagrams (9 diagrams)
✅ Architecture Decision Records (8 ADRs, 40/40 quality scores)
✅ Database schema (PostgreSQL + ChromaDB + Redis)
✅ Proof-of-concept (1,601 messages, interactive timeline)

Phase 1: Infrastructure & Core Backend (Weeks 3-6)

Goal: Production-ready backend infrastructure with authentication, multi-tenancy, and core CRUD APIs.

Duration: 4 weeks Team: 2 Full-Stack Engineers, 1 DevOps Engineer Budget: $40,000

Week 3: Infrastructure Setup

Deliverables:

GCP project provisioning (Cloud SQL, Cloud Run, Cloud Storage, Memorystore)
Terraform infrastructure-as-code (dev, staging, prod environments)
PostgreSQL database deployed with RLS policies
Redis (Memorystore) deployed for caching
CI/CD pipeline (GitHub Actions) for automated deployment
Environment configuration (.env templates, secrets management)

Agent Orchestration:

# Use devops-engineer agent for infrastructure setup
Task(
    subagent_type="codi-devops-engineer",
    prompt="Deploy complete GCP infrastructure for CODITECT Project Intelligence Platform. Follow deployment/INFRASTRUCTURE-PLAN.md. Use Terraform for IaC. Deploy: Cloud SQL (PostgreSQL 15), Cloud Memorystore (Redis 7), Cloud Storage bucket, Cloud Run services (placeholder). Set up GitHub Actions CI/CD. Output: Working infrastructure + deployment documentation."
)

Acceptance Criteria:

All GCP services provisioned and accessible
Terraform state managed in GCS backend
CI/CD pipeline deploys successfully to staging
Database migrations run automatically
Secrets managed via GCP Secret Manager
Infrastructure cost: <$200/month for dev environment

Week 4: Core Backend & Authentication

Deliverables:

FastAPI project structure (backend/)
SQLAlchemy 2.0 models (organizations, users, organization_members)
Pydantic v2 schemas for request/response validation
OAuth2 + JWT authentication system
User registration, login, logout, token refresh endpoints
Password hashing (Argon2) and validation
Email verification workflow
Session management (Redis-backed)
Unit tests (80% coverage target)

Agent Orchestration:

# Use rust-expert-developer for backend (adapts to Python/FastAPI)
Task(
    subagent_type="rust-expert-developer",
    prompt="Implement FastAPI authentication system for CODITECT Project Intelligence Platform. Follow backend/docs/AUTH-SPEC.md. Create: User registration with Argon2 hashing, JWT access tokens (1h) + refresh tokens (7d), OAuth2 password flow, email verification, session management (Redis). Include: SQLAlchemy models, Pydantic schemas, 15+ unit tests. Target: 80% test coverage."
)

Acceptance Criteria:

Users can register with email + password
Login returns JWT access token + refresh token
Token refresh works without re-authentication
Email verification required for account activation
Passwords hashed with Argon2 (cost: 16)
All auth tests passing (15+ tests)
API documentation auto-generated (FastAPI /docs)

Week 5: Multi-Tenancy & RBAC

Deliverables:

Organization CRUD APIs (create, read, update, delete)
Organization member invitation system (email invites)
Role-based access control (6 roles: Owner, Admin, Member, Viewer, Auditor, Executive)
Permission enforcement decorator @require_permission()
PostgreSQL Row-Level Security (RLS) policies enforced
Organization membership management endpoints
Audit logging for all administrative actions
Integration tests for multi-tenant isolation

Agent Orchestration:

# Use multi-tenant-architect agent for RLS implementation
Task(
    subagent_type="multi-tenant-architect",
    prompt="Implement multi-tenant architecture with RLS for CODITECT Project Intelligence Platform. Follow backend/docs/MULTI-TENANT-SPEC.md. Create: Organization CRUD APIs, member invitation system, RBAC with 6 roles (Owner/Admin/Member/Viewer/Auditor/Executive), @require_permission decorator, PostgreSQL RLS policies on all tables. Test: Cross-tenant isolation (20+ tests). Target: Zero cross-tenant data leaks."
)

Acceptance Criteria:

Organizations can be created, updated, deleted
Users can be invited to organizations (email workflow)
RBAC enforced at API level (decorator-based)
RLS policies prevent cross-tenant data access
All administrative actions logged to audit_log table
Integration tests verify tenant isolation (100% pass rate)
Performance: Queries with RLS <100ms (p95)

Week 6: Project & Checkpoint APIs

Deliverables:

Project CRUD APIs (create, read, update, delete)
Checkpoint CRUD APIs (create, read, update, delete)
Message CRUD APIs (read only - synced from git)
Task CRUD APIs (read, update status)
Pagination support (cursor-based for large datasets)
Filtering & sorting (by date, focus area, status)
API rate limiting (100 requests/minute per user)
API documentation with examples

Agent Orchestration:

# Use senior-architect agent for API design
Task(
    subagent_type="senior-architect",
    prompt="Implement core CRUD APIs for CODITECT Project Intelligence Platform. Follow backend/docs/API-SPEC.md. Create: Project APIs (CRUD), Checkpoint APIs (CRUD), Message APIs (read-only), Task APIs (read + update status). Include: Pagination (cursor-based), filtering (date, focus area, status), sorting, rate limiting (100 req/min). Add: 25+ integration tests, OpenAPI documentation. Target: p95 latency <100ms."
)

Acceptance Criteria:

All CRUD operations working for projects, checkpoints
Messages read-only (will be synced from git)
Tasks can be updated (status changes tracked)
Pagination works with 1000+ records
Filtering and sorting functional
Rate limiting enforced (429 status code)
Integration tests passing (25+ tests)
API latency p95 <100ms

Phase 2: Git Sync & Search (Weeks 7-9)

Goal: Automated git synchronization pipeline and semantic search capabilities.

Duration: 3 weeks Team: 2 Full-Stack Engineers Budget: $30,000

Week 7: Git Ingestion Pipeline

Deliverables:

Agent Orchestration:

# Use orchestrator to coordinate git sync implementation
Task(
    subagent_type="orchestrator",
    prompt="Coordinate git ingestion pipeline implementation for CODITECT Project Intelligence Platform. Follow backend/docs/GIT-SYNC-SPEC.md. Coordinate these agents: (1) senior-architect for service design, (2) rust-expert-developer for parser implementation, (3) database-architect for sync logic. Deliverables: Git clone/pull automation, JSONL/JSON/Markdown parsers, SHA-256 deduplication, git commit verification, idempotent sync, error handling. Target: Process 1,601 messages in <60 seconds."
)

Acceptance Criteria:

Sync service can clone and pull repositories
All three export formats parsed correctly
Messages deduplicated by SHA-256 hash
Git commit SHA stored for verification
Sync completes in <60s for 1,601 messages
Sync can run multiple times (idempotent)
Errors logged and retried (3 attempts)
Unit tests for all parsers (100% pass rate)

Week 8: GitHub Webhook Integration

Deliverables:

GitHub webhook endpoint (/api/webhooks/github)
Webhook signature verification (HMAC-SHA256)
Automatic sync triggered on git push
Background job queue (Celery + Redis)
Webhook event logging
Retry logic for failed syncs
Webhook configuration documentation
Integration tests for webhook flow

Agent Orchestration:

# Use devops-engineer agent for webhook setup
Task(
    subagent_type="codi-devops-engineer",
    prompt="Implement GitHub webhook integration for CODITECT Project Intelligence Platform. Follow backend/docs/WEBHOOK-SPEC.md. Create: POST /api/webhooks/github endpoint, HMAC-SHA256 signature verification, automatic sync trigger on push event, Celery task queue (Redis backend), webhook event logging, retry logic (3 attempts). Test: End-to-end webhook flow. Target: Push → sync complete in <30 seconds."
)

Acceptance Criteria:

Webhook endpoint receives GitHub push events
Signature verification prevents unauthorized requests
Sync triggered automatically within 5 seconds
Sync runs in background (non-blocking)
Failed syncs retried 3 times with exponential backoff
All webhook events logged to sync_events table
Integration tests verify end-to-end flow
Latency: push → sync start <5s, sync complete <30s

Week 9: Semantic Search (ChromaDB)

Deliverables:

Agent Orchestration:

# Use ai-specialist agent for embedding generation
Task(
    subagent_type="ai-specialist",
    prompt="Implement semantic search with ChromaDB for CODITECT Project Intelligence Platform. Follow backend/docs/SEARCH-SPEC.md. Create: ChromaDB deployment (Cloud Run), OpenAI embedding generation (text-embedding-3-small, 1536 dims), Celery background job for batch embedding, metadata filtering (organization_id), 3 search APIs (semantic, full-text, hybrid), Reciprocal Rank Fusion merging. Test: 100 concurrent searches. Target: p95 latency <500ms."
)

Acceptance Criteria:

ChromaDB deployed and accessible
Embeddings generated for all messages (1,601+)
Semantic search returns relevant results without exact keywords
Full-text search uses PostgreSQL tsvector
Hybrid search combines both (RRF merging)
Metadata filtering enforces tenant isolation
Search latency p95 <500ms for 100 concurrent users
Cost: <$20/month for OpenAI embeddings

Phase 3: Frontend & Analytics (Weeks 10-12)

Goal: Production-ready React frontend with interactive timeline, search UI, and executive dashboards.

Duration: 3 weeks Team: 1 Frontend Engineer, 1 Full-Stack Engineer Budget: $30,000

Week 10: Frontend Foundation

Deliverables:

Next.js 14 project setup (TypeScript + App Router)
Chakra UI component library integration
Authentication pages (login, register, verify email, forgot password)
Protected route middleware
JWT token management (localStorage + refresh flow)
API client (React Query + Axios)
Error boundary and error handling
Responsive layout (mobile, tablet, desktop)
Unit tests for components (Vitest + Testing Library)

Agent Orchestration:

# Use frontend-react-typescript-expert agent
Task(
    subagent_type="frontend-react-typescript-expert",
    prompt="Create Next.js 14 frontend foundation for CODITECT Project Intelligence Platform. Follow frontend/docs/FRONTEND-SPEC.md. Setup: TypeScript + App Router, Chakra UI, auth pages (login/register/verify/forgot password), protected routes, JWT management (localStorage + refresh), React Query API client, error boundaries, responsive layout. Include: 20+ component tests (Vitest). Target: 100% TypeScript strict mode, WCAG 2.1 AA accessibility."
)

Acceptance Criteria:

Next.js app runs locally (npm run dev)
Auth pages fully functional (login, register, etc.)
Protected routes redirect to login if unauthenticated
JWT tokens refreshed automatically before expiry
API client handles errors gracefully
Responsive design works on all screen sizes
Component tests passing (20+ tests)
TypeScript strict mode enabled (zero errors)

Week 11: Timeline & Search UI

Deliverables:

Interactive timeline visualization (calendar view)
Year → Month → Week → Day drill-down navigation
Checkpoint detail page (messages, tasks, metadata)
Search interface (3 modes: semantic, full-text, hybrid)
Search filters (date range, focus area, role, tools)
Search result highlighting
Infinite scroll pagination
Loading states and skeleton screens
E2E tests (Playwright)

Agent Orchestration:

# Use orchestrator to coordinate frontend features
Task(
    subagent_type="orchestrator",
    prompt="Coordinate timeline and search UI implementation for CODITECT Project Intelligence Platform. Follow frontend/docs/TIMELINE-SPEC.md and SEARCH-SPEC.md. Coordinate: (1) frontend-react-typescript-expert for timeline calendar view (year/month/week/day drill-down), (2) senior-architect for checkpoint detail page, (3) frontend-react-typescript-expert for search UI (3 modes: semantic/full-text/hybrid), filters, infinite scroll. Include: 15+ E2E tests (Playwright). Target: Timeline load <1s, search <500ms."
)

Acceptance Criteria:

Timeline displays all checkpoints in calendar format
Drill-down navigation works smoothly
Checkpoint detail page shows all messages and tasks
Search returns relevant results in all 3 modes
Filters work correctly (date, focus area, etc.)
Search highlights matching keywords
Infinite scroll loads more results automatically
E2E tests passing (15+ tests)
Timeline load time <1s, search latency <500ms

Week 12: Executive Dashboard & Production Launch

Deliverables:

Agent Orchestration:

# Use orchestrator for final production push
Task(
    subagent_type="orchestrator",
    prompt="Coordinate production launch for CODITECT Project Intelligence Platform. Follow deployment/PRODUCTION-LAUNCH-PLAN.md. Coordinate: (1) frontend-react-typescript-expert for executive dashboard (metrics, heatmap, charts, exports), (2) senior-architect for admin panel, (3) devops-engineer for Cloud Run deployment, (4) monitoring-specialist for GCP Monitoring setup. Deliverables: Working dashboard, deployed app, monitoring alerts, smoke tests. Target: 99.9% uptime, <1s page load."
)

Acceptance Criteria:

Executive dashboard displays all metrics correctly
Charts and heatmaps render without lag
Export functionality generates correct CSV/JSON/PDF
User settings page allows profile updates
Admin panel works for user/role management
Production deployment successful (frontend + backend)
Monitoring dashboards configured (latency, errors, uptime)
Smoke tests passing in production
Performance: p95 page load <1s, API latency <200ms

Multi-Agent Orchestration Strategy

Agent Roles & Responsibilities

Phase	Primary Agent	Supporting Agents	Coordination Method
Infrastructure	`codi-devops-engineer`	`database-architect`, `security-specialist`	Sequential execution
Authentication	`rust-expert-developer`	`security-specialist`	Direct implementation
Multi-Tenancy	`multi-tenant-architect`	`database-architect`, `security-specialist`	Orchestrated coordination
CRUD APIs	`senior-architect`	`database-architect`, `codi-test-engineer`	Direct implementation
Git Sync	`orchestrator`	`senior-architect`, `rust-expert-developer`, `database-architect`	Multi-agent coordination
Webhooks	`codi-devops-engineer`	`security-specialist`	Direct implementation
Semantic Search	`ai-specialist`	`database-architect`, `monitoring-specialist`	Direct implementation
Frontend Foundation	`frontend-react-typescript-expert`	`senior-architect`	Direct implementation
Timeline & Search UI	`orchestrator`	`frontend-react-typescript-expert`, `senior-architect`	Multi-agent coordination
Production Launch	`orchestrator`	All agents	Multi-agent coordination

Orchestration Patterns

Pattern 1: Direct Agent Invocation (Simple Tasks)

# Single agent completes entire task
Task(
    subagent_type="<agent_name>",
    prompt="<clear task description with acceptance criteria>"
)

Pattern 2: Sequential Agent Chain (Dependent Tasks)

# Agent A → Agent B → Agent C (sequential)
# Week 3: Infrastructure
Task(subagent_type="codi-devops-engineer", prompt="Step 1: Deploy GCP infrastructure")
# Wait for completion, then:
Task(subagent_type="database-architect", prompt="Step 2: Apply database schema")
# Wait for completion, then:
Task(subagent_type="security-specialist", prompt="Step 3: Configure security policies")

Pattern 3: Orchestrated Coordination (Complex Tasks)

# Orchestrator coordinates multiple agents in parallel/sequence
Task(
    subagent_type="orchestrator",
    prompt="""
Coordinate <feature> implementation with these agents:
1. <agent_1> for <task_1>
2. <agent_2> for <task_2>
3. <agent_3> for <task_3>

Coordination strategy: <parallel/sequential>
Deliverables: <list>
Acceptance criteria: <criteria>
"""
)

Quality Gates

Phase 1 Completion Criteria

All infrastructure deployed and accessible
Authentication system working end-to-end
Multi-tenancy with RLS verified (zero cross-tenant leaks)
CRUD APIs operational for all resources
Test coverage ≥80% for backend code
API documentation complete and accurate
Performance: API latency p95 <100ms

Phase 2 Completion Criteria

Git sync pipeline operational (webhook triggered)
Sync completes in <60s for 1,601 messages
Semantic search returns relevant results
Hybrid search combines full-text + semantic correctly
Search latency p95 <500ms for 100 concurrent users
Embedding generation cost <$20/month
Background jobs processing without delays

Phase 3 Completion Criteria

Frontend deployed to production (Cloud Run)
Timeline visualization fully functional
Search UI works in all 3 modes
Executive dashboard displays real-time metrics
E2E tests passing (100% pass rate)
Performance: page load p95 <1s
Production uptime 99.9% (first 30 days)
Zero critical security vulnerabilities

Risk Management

High-Priority Risks

Risk	Probability	Impact	Mitigation Strategy
RLS performance degradation	Medium	High	Implement indexed RLS policies, query optimization, read replicas
ChromaDB scaling issues	Medium	Medium	Use Cloud Run auto-scaling, batch embeddings, rate limiting
GitHub webhook reliability	Low	High	Implement retry logic, fallback polling, sync event monitoring
Budget overrun	Low	High	Weekly cost monitoring, alerts at 80% budget, auto-scale limits
Timeline delays	Medium	Medium	20% time buffer, parallel agent execution, daily standups

Mitigation Actions

RLS Performance:

Create composite indexes on (organization_id, created_at)
Use EXPLAIN ANALYZE to identify slow queries
Deploy read replicas for reporting queries
Implement Redis caching for frequently accessed data

ChromaDB Scaling:

Start with Cloud Run (0-10 instances auto-scale)
Monitor memory usage (target: <80% utilization)
Batch embeddings (100 messages at a time)
Rate limit search API (10 requests/second per user)

Webhook Reliability:

Verify HMAC signature on every webhook
Log all webhook events to sync_events table
Retry failed syncs 3 times (exponential backoff)
Implement fallback polling (every 15 minutes)

Success Metrics

Technical Metrics (Month 3)

Metric	Target	Current	Status
API Latency (p95)	<100ms	TBD	⏸️
Search Latency (p95)	<500ms	TBD	⏸️
Uptime	99.9%	TBD	⏸️
Test Coverage	≥80%	TBD	⏸️
Page Load (p95)	<1s	TBD	⏸️
Database Query (p95)	<100ms	TBD	⏸️

Adoption Metrics (Month 6)

User Type	Target Weekly Usage	Current	Status
Executive Leadership	100% (4/4)	TBD	⏸️
Senior Leadership	80% (12/15)	TBD	⏸️
Auditors	100% (all audits)	TBD	⏸️
Team Members	60% (30/50)	TBD	⏸️

Business Metrics (Year 1)

Metric	Target	Current	Status
Total Users	200	TBD	⏸️
ARR	$96,000	TBD	⏸️
NPS	≥50	TBD	⏸️
Churn Rate	<5%/year	TBD	⏸️
Time Savings	80% (executives)	TBD	⏸️

Budget Breakdown

Engineering Costs

Role	Rate	Weeks	Total
Full-Stack Engineer #1	$2,500/week	12 weeks	$30,000
Full-Stack Engineer #2	$2,500/week	12 weeks	$30,000
DevOps Engineer (part-time)	$2,000/week	6 weeks	$12,000
Total Engineering			$72,000

Infrastructure Costs (Year 1)

Service	Monthly	Year 1	Notes
Cloud SQL (PostgreSQL)	$180	$2,160	db-n1-standard-2, HA
Cloud Run (Backend)	$120	$1,440	2-10 instances
Cloud Run (Frontend)	$60	$720	1-5 instances
Cloud Memorystore (Redis)	$80	$960	5GB HA cluster
Cloud Storage	$20	$240	1TB exports
ChromaDB (Cloud Run)	$60	$720	1-3 instances
Load Balancer	$20	$240	SSL termination
OpenAI Embeddings	$20	$240	text-embedding-3-small
Monitoring & Logging	$40	$480	GCP native
Total Infrastructure	$600	$7,200

Total Budget

Category	Amount
Engineering (12 weeks)	$72,000
Infrastructure (Year 1)	$7,200
Contingency (20%)	$15,840
Total Year 1	$95,040

Note: Budget excludes Phase 1 (architecture - already complete).

Delivery Schedule

Weekly Milestones

Week	Phase	Milestone	Agent(s)	Deliverable
3	Infrastructure	GCP deployment	`codi-devops-engineer`	Working infrastructure
4	Core Backend	Authentication	`rust-expert-developer`	Login/register working
5	Multi-Tenancy	RBAC + RLS	`multi-tenant-architect`	Tenant isolation verified
6	CRUD APIs	Project/Checkpoint APIs	`senior-architect`	CRUD operations working
7	Git Sync	Ingestion pipeline	`orchestrator`	Sync from git working
8	Webhooks	GitHub integration	`codi-devops-engineer`	Auto-sync on push
9	Semantic Search	ChromaDB	`ai-specialist`	Search working
10	Frontend	Next.js foundation	`frontend-react-typescript-expert`	Auth pages working
11	UI Features	Timeline + Search	`orchestrator`	Timeline + search UI
12	Production	Dashboard + Deploy	`orchestrator`	Production launch

Checkpoint Reviews

Week 6 Review: Phase 1 Complete

Infrastructure operational
Authentication working
Multi-tenancy verified
CRUD APIs functional
GO/NO-GO Decision: Proceed to Phase 2

Week 9 Review: Phase 2 Complete

Git sync pipeline operational
Semantic search working
Performance targets met
GO/NO-GO Decision: Proceed to Phase 3

Week 12 Review: Production Launch

Frontend deployed
Dashboard operational
Production smoke tests passing
GO/NO-GO Decision: Public beta launch

Next Steps

Immediate Actions (This Week)

Read Complete Documentation
- Review all ADRs in docs/adrs/
- Read software-design-document-project-intelligence.md
- Study database-architecture-project-intelligence.md
Environment Setup
- Set up GCP project (coditect-project-intelligence-prod)
- Configure GitHub repository secrets
- Create service accounts for deployment
- Set up local development environment
Kickoff Meeting
- Team introduction
- Architecture walkthrough
- Tool access provisioning
- First sprint planning (Week 3)

Week 3 Kickoff (Phase 1 Start)

Daily Standups: 9:00 AM EST (15 minutes)
Progress Tracking: tasklist-with-checkboxes.md
Checkpoint: Friday EOD - Infrastructure deployed
Blockers: Escalate to project lead immediately

Contact & Escalation

Project Lead: TBD Technical Lead: TBD DevOps Lead: TBD

Escalation Path:

Blocker → Technical Lead (same day)
Risk → Project Lead (within 24 hours)
Budget concern → CFO/CEO (within 48 hours)

Status: ⏸️ READY FOR KICKOFF Next Milestone: Week 3 - Infrastructure Setup Last Updated: November 18, 2025 Repository: https://github.com/coditect-ai/coditect-project-intelligence Owner: AZ1.AI INC

Project Overview​

Purpose​

Strategic Value​

Architecture Highlights​

Implementation Phases​

Phase 0: Foundation Complete ✅ (Weeks 1-2)​

Phase 1: Infrastructure & Core Backend (Weeks 3-6)​

Week 3: Infrastructure Setup​

Week 4: Core Backend & Authentication​

Week 5: Multi-Tenancy & RBAC​

Week 6: Project & Checkpoint APIs​

Phase 2: Git Sync & Search (Weeks 7-9)​

Week 7: Git Ingestion Pipeline​

Week 8: GitHub Webhook Integration​

Week 9: Semantic Search (ChromaDB)​

Phase 3: Frontend & Analytics (Weeks 10-12)​

Week 10: Frontend Foundation​

Week 11: Timeline & Search UI​

Week 12: Executive Dashboard & Production Launch​

Multi-Agent Orchestration Strategy​

Agent Roles & Responsibilities​

Orchestration Patterns​

Pattern 1: Direct Agent Invocation (Simple Tasks)​

Pattern 2: Sequential Agent Chain (Dependent Tasks)​

Pattern 3: Orchestrated Coordination (Complex Tasks)​

Quality Gates​

Phase 1 Completion Criteria​

Phase 2 Completion Criteria​

Phase 3 Completion Criteria​

Risk Management​

High-Priority Risks​

Mitigation Actions​

Success Metrics​

Technical Metrics (Month 3)​

Adoption Metrics (Month 6)​

Business Metrics (Year 1)​

Budget Breakdown​

Engineering Costs​

Infrastructure Costs (Year 1)​

Total Budget​

Delivery Schedule​

Weekly Milestones​

Checkpoint Reviews​

Next Steps​

Immediate Actions (This Week)​

Week 3 Kickoff (Phase 1 Start)​

Contact & Escalation​

Project Overview

Purpose

Strategic Value

Architecture Highlights

Implementation Phases

Phase 0: Foundation Complete ✅ (Weeks 1-2)

Phase 1: Infrastructure & Core Backend (Weeks 3-6)

Week 3: Infrastructure Setup

Week 4: Core Backend & Authentication

Week 5: Multi-Tenancy & RBAC

Week 6: Project & Checkpoint APIs

Phase 2: Git Sync & Search (Weeks 7-9)

Week 7: Git Ingestion Pipeline

Week 8: GitHub Webhook Integration

Week 9: Semantic Search (ChromaDB)

Phase 3: Frontend & Analytics (Weeks 10-12)

Week 10: Frontend Foundation

Week 11: Timeline & Search UI

Week 12: Executive Dashboard & Production Launch

Multi-Agent Orchestration Strategy

Agent Roles & Responsibilities

Orchestration Patterns

Pattern 1: Direct Agent Invocation (Simple Tasks)

Pattern 2: Sequential Agent Chain (Dependent Tasks)

Pattern 3: Orchestrated Coordination (Complex Tasks)

Quality Gates

Phase 1 Completion Criteria

Phase 2 Completion Criteria

Phase 3 Completion Criteria

Risk Management

High-Priority Risks

Mitigation Actions

Success Metrics

Technical Metrics (Month 3)

Adoption Metrics (Month 6)

Business Metrics (Year 1)

Budget Breakdown

Engineering Costs

Infrastructure Costs (Year 1)

Total Budget

Delivery Schedule

Weekly Milestones

Checkpoint Reviews

Next Steps

Immediate Actions (This Week)

Week 3 Kickoff (Phase 1 Start)

Contact & Escalation