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LogicStamp Context: Save 70% Tokens When Using AI with Your React Codebase

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
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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"]
}
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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
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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"]
    }
  }
}
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Now AI suggestions match your existing design system.

Next.js App Router Detection

LogicStamp understands modern Next.js:

{
  "nextjs": {
    "directive": "client",
    "routeType": "page"
  }
}
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No more AI suggesting useState in a Server Component.

Dependency Graph

See exactly how components connect:

{
  "edges": ["./Icon", "../hooks/useAuth", "@/lib/utils"]
}
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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
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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
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Validate context files

stamp context validate context_main.json
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Security scan for leaked secrets

stamp security scan
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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
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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
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Generate context:

stamp context
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With style metadata:

stamp context style
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Initialize project (adds .gitignore entries, creates LLM_CONTEXT.md):

stamp init
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Links

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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