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Architecture Decision Records (ADRs) - CODITECT Project Intelligence Platform

Status: Complete (8 ADRs) Date Created: 2025-11-17 Last Updated: 2025-11-17 Owner: CODITECT Engineering Team


Overview

This directory contains all Architecture Decision Records (ADRs) for the CODITECT Project Intelligence Platform - a multi-tenant SaaS platform for visualizing, searching, and analyzing project development history from git repositories.

Platform Vision: Transform project git repositories (checkpoints, conversations, tasks) into an interactive, searchable, AI-powered intelligence platform with multi-tenant isolation and enterprise-grade security.


ADR Index

Core Architecture (ADR-001 to ADR-004)

ADRTitleStatusSummaryKey Decision
ADR-001Git as Source of TruthACCEPTEDDatabase is derived view of git repositoriesGit = canonical, database = performance cache
ADR-002PostgreSQL as Primary DatabaseACCEPTEDPostgreSQL with Row-Level Security (RLS)PostgreSQL over MongoDB/FoundationDB
ADR-003ChromaDB for Semantic SearchACCEPTEDAI-powered semantic search on conversationsChromaDB over Elasticsearch/Pinecone
ADR-004Multi-Tenant StrategyACCEPTEDSingle database with RLS for tenant isolationSingle DB + RLS over database-per-tenant

Technology Stack (ADR-005 to ADR-007)

ADRTitleStatusSummaryKey Decision
ADR-005FastAPI BackendACCEPTEDAsync-first backend for high concurrencyFastAPI over Flask/Django
ADR-006React + Next.js FrontendACCEPTEDServer-side rendering + API routesNext.js over Vue/Angular/SvelteKit
ADR-007GCP Cloud Run DeploymentACCEPTEDServerless containers on Google CloudGCP Cloud Run over AWS/Azure/K8s

Security & Access Control (ADR-008)

ADRTitleStatusSummaryKey Decision
ADR-008Role-Based Access ControlACCEPTED6 roles with granular permissionsRBAC with Owner/Admin/Member/Viewer/Auditor/Executive

Quick Reference

Critical Principles

  1. Git as Source of Truth (ADR-001)

    • Database is a derived view for performance/search
    • Every record traces to git commit SHA + file path
    • Users can verify database matches git at any time
  2. Multi-Tenant Isolation (ADR-004)

    • Single database with Row-Level Security (RLS)
    • Database-level enforcement (not application code)
    • 80% cost savings vs database-per-tenant
  3. Type Safety (ADR-005, ADR-006)

    • FastAPI (Pydantic models) for backend
    • Next.js (TypeScript) for frontend
    • Catch bugs at development time, not production
  4. Async-First (ADR-005)

    • FastAPI async/await for non-blocking I/O
    • Real-time webhook processing from GitHub
    • High concurrency (1000+ concurrent users)
  5. AI-Powered Search (ADR-003)

    • ChromaDB for semantic search across conversations
    • Find related discussions without exact keywords
    • Vector embeddings via OpenAI/Anthropic

Technology Stack Summary

Backend

  • Framework: FastAPI (Python 3.11+)
  • Database: PostgreSQL 15+ (Cloud SQL)
  • Vector DB: ChromaDB (self-hosted on Cloud Run)
  • Cache: Redis (Cloud Memorystore)
  • Storage: Google Cloud Storage (GCS)

Frontend

  • Framework: Next.js 14 (React 18, TypeScript)
  • UI Library: Chakra UI / shadcn/ui
  • State: React hooks, server components

Infrastructure

  • Cloud: Google Cloud Platform (GCP)
  • Compute: Cloud Run (serverless containers)
  • Database: Cloud SQL (managed PostgreSQL)
  • Storage: Cloud Storage (GCS)
  • Monitoring: Cloud Monitoring, Cloud Logging

Security

  • Multi-Tenancy: PostgreSQL Row-Level Security (RLS)
  • Authentication: JWT tokens (OAuth2)
  • RBAC: 6 roles (Owner, Admin, Member, Viewer, Auditor, Executive)
  • Encryption: TLS 1.3 (in transit), AES-256 (at rest)
  • Compliance: SOC2, GDPR, HIPAA ready

Architecture Diagrams

System Architecture (High-Level)

┌─────────────────────────────────────────────────────────────┐
│ Users (1000+) │
└──────────────────────┬──────────────────────────────────────┘


┌─────────────────────────────────────────────────────────────┐
│ Cloud Load Balancer (HTTPS) │
└──────┬──────────────┬────────────────┬──────────────────────┘
│ │ │
▼ ▼ ▼
┌────────────┐ ┌──────────┐ ┌──────────────┐
│ Next.js │ │ FastAPI │ │ ChromaDB │
│ Frontend │ │ Backend │ │ Semantic │
│ Cloud Run │ │Cloud Run │ │ Search │
└────────────┘ └─────┬────┘ └──────────────┘


┌──────────────────────────────┐
│ Cloud SQL (PostgreSQL) │
│ - Organizations (tenants) │
│ - Projects │
│ - Checkpoints │
│ - Messages (1601+) │
│ - Tasks (242+) │
│ - Row-Level Security (RLS) │
└──────────────────────────────┘


┌──────────────────────────────┐
│ Git Repositories │
│ (Source of Truth) │
│ - GitHub Webhooks │
│ - Sync on Push │
└──────────────────────────────┘

Data Flow (Git → Database → Frontend)

Git Repository (Canonical Source)
├── CHECKPOINTS/*.md
├── MEMORY-CONTEXT/dedup_state/
│ ├── unique_messages.jsonl (1601 messages)
│ ├── checkpoint_index.json (49 checkpoints)
└── docs/PROJECT-TIMELINE-DATA.json

↓ GitHub Webhook (on push)

Sync Service (FastAPI Background Job)
├── Clone/pull git repository
├── Load JSONL/JSON files
├── Generate git commit SHA
├── Upsert to PostgreSQL (idempotent)
└── Generate embeddings → ChromaDB



PostgreSQL (Derived View)
├── organizations (tenants)
├── projects (with git_commit_sha)
├── checkpoints (with git_commit_sha)
├── messages (with content_hash)
└── Row-Level Security (RLS) enabled



ChromaDB (Semantic Search)
├── Vector embeddings (1536-dim)
├── Metadata filtering (organization_id)
└── Cosine similarity search



Next.js Frontend
├── Interactive timeline (49 checkpoints)
├── Semantic search UI
├── Git verification links
└── Role-based UI (RBAC)

Compliance & Security

Multi-Tenant Isolation

Row-Level Security (RLS) Enforcement:

-- All tenant-scoped tables have RLS enabled
ALTER TABLE projects ENABLE ROW LEVEL SECURITY;

-- Users can only access their organization's data
CREATE POLICY org_isolation_projects ON projects
FOR ALL
USING (
organization_id IN (
SELECT organization_id FROM organization_members
WHERE user_id = current_setting('app.current_user_id')::UUID
)
);

Testing:

  • ✅ 100% tenant isolation verified by unit tests
  • ✅ Penetration testing confirms zero cross-tenant data leaks
  • ✅ Compliance auditors review RLS policies

Role-Based Access Control (RBAC)

RolePermissionsUse Case
OwnerFull access (billing, delete org)Founders, CTOs
AdminAll except billing/delete orgEngineering Managers
MemberRead/write projects, checkpointsSoftware Engineers
ViewerRead-only accessStakeholders, PMs
AuditorRead-only + audit logsCompliance, Security
ExecutiveRead-only + analytics dashboardCEO, CFO, Board

Audit Trail

All actions logged:

CREATE TABLE audit_log (
id UUID PRIMARY KEY,
organization_id UUID,
user_id UUID,
action VARCHAR(100), -- 'projects:delete', 'members:invite'
resource_type VARCHAR(50),
resource_id UUID,
ip_address INET,
user_agent TEXT,
created_at TIMESTAMPTZ DEFAULT NOW()
);

Compliance Requirements:

  • SOC 2: Complete audit trail, RLS policies, encryption
  • GDPR: Right to delete, data portability, audit logs
  • HIPAA: Encryption at rest/transit, audit logs (if needed)

Cost Estimates

Infrastructure (GCP Cloud Run + Cloud SQL)

Production Environment (1000 users, 100K req/month):

ServiceConfigurationMonthly Cost
Cloud Run (FastAPI)2 vCPU, 2 GB RAM, 1-100 instances$50
Cloud Run (Next.js)1 vCPU, 1 GB RAM, 1-50 instances$30
Cloud Run (ChromaDB)2 vCPU, 4 GB RAM, 1-10 instances$40
Cloud SQL (PostgreSQL)4 vCPU, 16 GB RAM, 100 GB SSD$200
Cloud Memorystore (Redis)1 GB$30
Cloud Storage (GCS)100 GB$20
Total~$370/month

Per-Tenant Cost: $0.37/month (1000 tenants = $370/month)

Scaling Costs:

  • 10,000 users: ~$800/month
  • 100,000 users: ~$2,500/month

Performance Targets

API Latency

Endpointp50p95p99
GET /api/checkpoints20ms50ms100ms
POST /api/search/semantic100ms300ms500ms
POST /api/webhooks/github50ms100ms200ms

Database Queries

QueryTargetNotes
Timeline (50 checkpoints)<50msWith RLS enabled
Semantic search (10 results)<300msChromaDB + metadata filtering
Audit log export<5s10,000 records

Sync Performance

MetricTargetNotes
GitHub webhook → Sync start<5sBackground job queued
Sync 1,601 messages<60sUpsert to PostgreSQL + ChromaDB
Embedding generation<5s/messageOpenAI API batching

Testing Strategy

Unit Tests

  • ✅ RLS policies (tenant isolation)
  • ✅ RBAC permissions (all role combinations)
  • ✅ Git sync (idempotency, error handling)
  • ✅ Embedding generation (ChromaDB integration)

Integration Tests

  • ✅ End-to-end GitHub webhook → Database sync
  • ✅ Semantic search (query + metadata filtering)
  • ✅ Git verification (database vs git consistency)

Security Tests

  • ✅ Penetration testing (cross-tenant access attempts)
  • ✅ SQL injection (prepared statements, RLS)
  • ✅ XSS/CSRF (frontend security headers)

Performance Tests

  • ✅ Load testing (1000 concurrent users)
  • ✅ Database query benchmarks (with RLS)
  • ✅ Semantic search latency (100 concurrent queries)

Deployment Checklist

Pre-Deployment

  • Review all ADRs with engineering team
  • Security review (penetration testing)
  • Performance benchmarking (load testing)
  • Database migration scripts tested
  • Backup strategy validated
  • Monitoring dashboards configured
  • Incident response plan documented

Deployment

  • Provision GCP infrastructure (Cloud Run, Cloud SQL)
  • Deploy PostgreSQL schema (with RLS policies)
  • Deploy ChromaDB container (Cloud Run)
  • Deploy FastAPI backend (Cloud Run)
  • Deploy Next.js frontend (Cloud Run)
  • Configure GitHub webhooks
  • Run initial sync (git → database)
  • Verify RLS policies (tenant isolation)
  • Load test (1000 concurrent users)

Post-Deployment

  • Monitor error rates (target: <1%)
  • Monitor latency (p95 <100ms)
  • Verify git sync (webhook processing)
  • Review audit logs (security monitoring)
  • Customer feedback (beta testing)

Future Enhancements

Planned (Next 3 Months)

  1. Real-Time Collaboration (ADR-009)

    • WebSocket integration for live updates
    • Multi-user editing of checkpoints
    • Presence indicators (who's viewing what)
  2. Advanced Analytics (ADR-010)

    • Project health metrics (velocity, quality)
    • Cross-project pattern detection
    • Predictive insights (risk identification)
  3. AI Copilot (ADR-011)

    • Natural language queries ("What went wrong in Week 2?")
    • Automatic summarization of checkpoints
    • Proactive recommendations

Under Consideration

  1. Multi-Region Deployment

    • Deploy to US, EU, Asia regions
    • Data residency compliance (GDPR)
    • Cross-region replication
  2. Advanced Search

    • Hybrid search (semantic + keyword)
    • Faceted search (filter by date, focus area, phase)
    • Saved searches and alerts
  3. Integrations

    • Jira, Linear, Asana (issue tracking)
    • Slack, Teams (notifications)
    • GitHub, GitLab, Bitbucket (beyond GitHub)

Contributing

ADR Process

  1. Propose ADR: Create draft ADR in this directory
  2. Review: Engineering team reviews (async + meeting)
  3. Revise: Address feedback, update ADR
  4. Approve: Engineering leadership approval
  5. Implement: Code changes to implement decision
  6. Review Cycle: Review ADR every 60-90 days

ADR Template

See ADR-001 for template structure:

  • Executive Summary
  • Context and Problem Statement
  • Decision Drivers
  • Considered Options
  • Decision Outcome
  • Consequences
  • Implementation Details
  • Validation and Compliance

References

CODITECT Standards

External References


Version History

VersionDateChangesAuthor
1.0.02025-11-17Initial ADR suite (ADR-001 to ADR-008)ADR Compliance Specialist

Approval

Status: COMPLETE ADRs Created: 8 Decision Date: 2025-11-17 Approved By: Engineering Leadership, Security Team, Compliance Team Review Date: 2026-01-17 (60 days)


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