How Did This Feature Work Again?

AI built your payment system 3 months ago. Now you need to modify it. What was the architecture? Which files? How does it flow?

❓

Reading code, digging through commits, trying to remember...
What if AI documented the architecture while building it?

The Solution

AI Documents the Architecture

While Claude builds features, have it create implementation notes in StickyRice

Example: Per-User Limit System

Overview
What We Built
Per-user limit snapshots from plan defaults
Problem Solved
Changing limits won't affect existing users
How It Works
New user → snapshot from grainLimits
Database
globalSettings
grainLimits, harvestLimits
userLimits
userId, limits, isCustom
Key Files
lib/settings.ts
initializeUserLimits()
lib/limits.ts
getUserLimits() helper
settings.ts
updateGrainLimits() API
Next Steps
Deploy
Run backfill for existing users
Future
Hook into subscription webhooks
AI creates this structure as it implements the feature

The Difference

😓

Without Documentation

Forgot how it works

3 months later...
"How did we implement the payment flow?"
Reading old code...
"Why did we use Redis here? What's the TTL?"
Digging through commits...
"Which files changed? What was the architecture?"
❌ No implementation context
❌ Wasting time reverse-engineering
❌ Risk breaking existing logic
😎

With StickyRice Docs

Implementation at your fingertips

Payment Flow
• Stripe webhooks → /api/webhooks
• Session validation via JWT
• Transaction log in payments table
Database Schema
• users: planId, limits snapshot
• payments: userId, stripeId, status
Key Files
• convex/payments.ts - mutations
• lib/stripe.ts - webhook handlers
✅ Complete implementation details
✅ Instant context recall
✅ Modify with confidence

How It Works

Document as you build, recall when you need

AI Implements Feature

You work with Claude to build a new feature or system

"Implement per-user limit system with plan snapshots"

AI Documents Architecture

Ask Claude to create a board documenting the implementation details

"Create a board with: what we built, schema, key files, and how it works"

Search When Needed

Months later, search your boards to understand the implementation

Search "limit system" → find complete architecture, flow, and file locations

What You Can Document

🔐

Authentication System

JWT flow & expiry
Session storage (Redis TTL)
Middleware files
Refresh token logic
💳

Payment Integration

Webhook handlers
Database schema
Stripe API flow
Error handling approach
📊

Caching Layer

Cache key strategy
TTL decisions
Invalidation logic
Fallback behavior

Stop Reverse-Engineering Your Own Code

Let AI document architecture as it builds, recall it when you need to modify

Setup MCPTry StickyRice

Works with Claude Code • Claude Desktop • Free to start