100% Client-Side Processing • Your files never leave your device

LLM Context Compiler

Turn entire project directories into token-optimized AI prompts for ChatGPT, Claude, and Gemini.

🔒 100% Local Processing. No uploads.

Drop Your Codebase Here

Drag and drop a folder or select files to compile them into a context prompt for LLMs.

Compiler Settings

Output Format

Custom Ignore Rules

We already ignore node_modules, .git, build folders, and hidden env files by default.

LLM Context Compiler — Turn Your Codebase into AI-Ready Prompts

The LLM Context Compiler simplifies feeding full multi-file codebases and project directories into Large Language Models like ChatGPT, Claude 3.5 Sonnet, and Gemini 1.5 Pro. It automatically filters out non-essential assets (like node_modules, build artifacts, lockfiles, and binaries) and produces a clean, token-efficient markdown context bundle with real-time token estimation.

Why Developers Use LLM Context Compiler

Smart Noise Filtering

Automatically ignores heavy dependency trees, binary files, minified bundles, and SVG sprites to conserve prompt token limits.

Context Window Token Estimator

Calculates approximate token usage to ensure your codebase fits within 128k, 200k, or 1M context windows.

100% Client-Side Privacy

Your proprietary intellectual property and source code never leave your browser. Zero backend telemetry.

Pre-Built Prompt Templates

Inject structured instructions for Architecture Review, Bug Hunting, Test Generation, or Security Audits with one click.

How to Prepare Your Codebase for AI Prompts

1
Upload Project Files or Directory
Drag your project folder or paste individual file snippets into the compiler.
2
Customize File Filters
Toggle exclusion presets for node_modules, .git, test suites, or package-lock files.
3
Select Task Template
Pick a prompt template (e.g. Code Refactoring, Explaining Logic, Unit Test Authoring).
4
Copy Formatted Context
Click Copy Prompt to paste the clean markdown bundle directly into ChatGPT or Claude.