SaaS Analytics Platform

Reviewed 47 files, 3 minor suggestions, no blockers found

Request rate limiting, input sanitization, CORS configuration, CSP headers

Skeleton loaders, error boundaries, retry logic, offline indicator

GitHub Actions: lint, test, build, deploy on push to main

Added ARIA labels, keyboard nav, focus management, color contrast fixes

All 20 tests passing after auth fix. Coverage at 84%

Fixed token refresh race condition and session expiry edge case

Ran initial test suite: 18/20 passing, 2 failures in auth flow

Transactional emails for invites, mentions, task assignments

User settings, team management, notification preferences

Multi-stage Dockerfile, docker-compose with PostgreSQL and Redis

Charts for project velocity, task burndown, team activity

Nested comments system with real-time updates and full audit trail

Drag-and-drop task board with columns, swimlanes, quick-add

WebSocket integration for live task updates across clients

Data table with sorting, filtering, bulk actions, empty states

Full CRUD for projects with pagination, filtering, soft delete

Login and registration forms with validation and error handling

JWT auth with login, register, refresh token endpoints

Created app shell with sidebar navigation and responsive layout

Generated Prisma schema and initial migration for 5 tables

Installed prisma, @prisma/client, jsonwebtoken, bcrypt

Installed react-hook-form, zod, @tanstack/react-query, lucide-react

All architecture approved — starting parallel build

PostgreSQL connection pool configured with 20 max connections

Created ARCHITECTURE.md with system diagrams and data flow

RESTful API with 14 endpoints, JWT auth, rate limiting

Moving to system architecture design

5 core tables: users, projects, tasks, comments, audit_log

Parsed PRD: 12 user stories, 3 epics, 2 integration points identified

Next.js 14 + Tailwind + Prisma + PostgreSQL chosen as stack

Initiated project discovery for SaaS Analytics Platform