If you've ever tried to get Claude, ChatGPT, or Copilot to help with your React codebase, you know the pain: copy-pasting files, explaining component relationships, watching your tokens burn, and still getting hallucinated imports.
LogicStamp Context solves this. One command, 8 seconds, and your AI finally understands your project.
The Problem: AI Doesn't Understand Your Codebase
Picture this: You paste 50 files into Claude asking for a refactor suggestion. The AI:
- Hallucinates component names that don't exist
- Misses critical dependencies
- Burns through 200K tokens (that's $3+ per conversation with Claude Opus)
- Still asks "can you show me the Button component?"
We've all been there.
The Solution: LogicStamp Context
LogicStamp Context is a zero-config CLI that scans your React/TypeScript codebase and generates structured JSON bundles optimized for AI consumption.
Quick Start
npm install -g logicstamp-context
cd your-project
stamp context
That's it. LogicStamp generates context.json files organized by folder, plus a context_main.json index. Share these with any AI assistant for instant codebase understanding.
What Makes It Special?
~70% Token Savings
Instead of dumping raw source code, LogicStamp extracts only what AI needs:
{
"entryId": "src/components/Button.tsx",
"kind": "react:component",
"props": {
"variant": {
"type": "literal-union",
"literals": ["primary", "secondary"]
},
"onClick": {
"type": "function",
"signature": "() => void"
}
},
"hooks": ["useState"],
"edges": ["./Icon"]
}
No boilerplate. No imports. No fluff. Just the architectural DNA of your component.
Deterministic Contracts = No Hallucinations
When AI sees structured contracts instead of raw code, it references the actual architecture. No more invented imports or phantom components.
Style-Aware
Running with --include-style extracts your design system:
stamp context style
Output includes Tailwind classes, shadcn/ui components, and CSS patterns:
{
"style": {
"styleSources": {
"tailwind": {
"categories": {
"layout": ["flex", "grid", "gap-4"],
"colors": ["bg-blue-500", "text-white"]
}
},
"shadcn": ["Button", "Card", "Dialog"]
}
}
}
Now AI suggestions match your existing design system.
Next.js App Router Detection
LogicStamp understands modern Next.js:
{
"nextjs": {
"directive": "client",
"routeType": "page"
}
}
No more AI suggesting useState in a Server Component.
Dependency Graph
See exactly how components connect:
{
"edges": ["./Icon", "../hooks/useAuth", "@/lib/utils"]
}
Detect circular dependencies before they bite you.
Real-World Workflow
Here's how I use LogicStamp with Claude:
Step 1: Generate context
stamp context --include-style
Step 2: Upload context_main.json to Claude
Step 3: Ask architectural questions
"Based on this context, suggest how to refactor the authentication flow to use React Query instead of useState."
Result: Claude gives specific, accurate suggestions referencing your actual components, hooks, and patterns.
CI/CD Integration
LogicStamp shines in pipelines:
Detect architectural drift
stamp context compare
Validate context files
stamp context validate context_main.json
Security scan for leaked secrets
stamp security scan
Add to your GitHub Actions:
name: Context Drift Check
on: [push]
jobs:
check:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Check Context Drift
run: |
npm install -g logicstamp-context
stamp context compare --ci
Token Cost Comparison
For a mid-sized React project (50 components):
| Method | Tokens | Cost (Claude Opus) |
|---|---|---|
| Raw source code | ~200K | ~$3.00 |
| LogicStamp context | ~60K | ~$0.90 |
| Savings | 70% | $2.10/session |
Over 100 AI sessions per month, that's $210 saved.
Limitations (Being Honest)
LogicStamp is still in beta (v0.2.7). Current limitations:
- TypeScript/React only (no Vue, Angular, or plain JS)
- Some edge cases with HOCs and complex generics
- Node.js 18+ required
Check the full limitations list in the docs.
Getting Started
Install globally:
npm install -g logicstamp-context
Generate context:
stamp context
With style metadata:
stamp context style
Initialize project (adds .gitignore entries, creates LLM_CONTEXT.md):
stamp init
Links
- GitHub: LogicStamp/logicstamp-context
- Documentation: logicstamp.dev
- npm: logicstamp-context
Conclusion
If you're using AI assistants with React/TypeScript codebases, LogicStamp Context is a no-brainer:
✅ Zero config
✅ 70% token savings
✅ No more hallucinations
✅ Style-aware suggestions
✅ CI/CD ready
✅ Free and open source
Stop burning tokens. Start shipping.
Have you tried LogicStamp? What's your workflow for giving AI context about your codebase? Drop a comment below!
About me: I'm a Technical Documentation Specialist helping developers and startups create README files, API docs, and technical guides. Need professional documentation for your project? Check out my services.
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