code-assembler-pro 4.5.1

Consolidate your codebase into structured Markdown context for LLMs (Claude, GPT, Gemini).

🏛️ Code Assembler Pro

Turn your codebase into structured, LLM-ready context—and rebuild it from AI suggestions.

Code Assembler Pro is a high-grade engineering utility designed to bridge the gap between your source code and Large Language Models (Claude, GPT-4o, Gemini, DeepSeek).

It doesn't just concatenate files; it generates a contextual technical document optimized for LLM ingestion, and provides a reliable rebuild engine to reconstruct projects from AI-modified Markdown files.

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🎯 Why Code Assembler Pro?

Copy-pasting raw files into a chat window leads to context loss. Code Assembler Pro solves this by:

1. 🗺️ Project Mapping: Automatically generates a clickable Table of Contents and architectural overview.
2. ♻️ Bidirectional Workflow: Use --rebuild to turn an AI's Markdown response back into a physical directory structure.
3. ⏱️ Token Efficiency: Use --since (Delta Mode) to send only modified files, saving thousands of tokens.
4. ✂️ Smart Compression: Use --compress to reduce a dependency's code to signatures + docstrings only — dramatically shrinking token count while preserving full structural context.
5. 🛡️ Metadata Manifest: Injects a hidden JSON manifest for 100% reliable project reconstruction and change tracking.

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✨ Key Features

• ♻️ Rebuild Mode (--rebuild): Reconstruct an entire project from a Markdown snapshot. Perfect for applying AI-generated refactors instantly.
• ⏱️ Delta Mode (--since): Generate updates containing only files modified, added, or deleted since a previous assembly.
• 🗜️ Compression Mode (--compress): Reduce source files to structural skeletons — signatures and docstrings only. Python always works out of the box; other languages use individually installed tree-sitter packages.
• 📋 Clipboard Integration (--clip): Direct copy to system clipboard for instant ingestion into LLMs.
• 🧠 Architecture Analysis: Detects design patterns (MVC, API, Testing) and provides file distribution stats.
• 📊 Token Metrics: Real-time estimation of token count to stay within model context windows.
• 📝 Enhanced Syntax Highlighting: Support for 50+ extensions including Jinja2, Terraform, and smart detection for Dockerfile, Makefile, and .env.
• 🖥️ Cross-Platform: Native support for Windows, macOS, and Linux with automatic emoji/ASCII adaptation.

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🚀 Installation

Standard install (no compression)

pip install code-assembler-pro

With compression support

Python files are always supported via stdlib ast — no extra install needed.

For other languages, install the corresponding extra:

# JavaScript + TypeScript
pip install "code-assembler-pro[compress-web]"

# Rust + Go + C + C++
pip install "code-assembler-pro[compress-systems]"

# A single language
pip install "code-assembler-pro[compress-js]"
pip install "code-assembler-pro[compress-rust]"

# Everything
pip install "code-assembler-pro[compress-all]"

From source (development)

git clone https://github.com/xmehaut/code-assembler-pro.git
cd code-assembler-pro
pip install -e .

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💻 Quick Start (CLI)

1. Assemble & Copy (The "One-Shot" Workflow)

Consolidate your code and copy it directly to your clipboard:

code-assembler . --ext py md --clip

2. Iterative Update (The "Token-Saver" Workflow)

Only send what changed since your last assembly:

code-assembler . --ext py --since codebase.md --clip

3. Rebuild from AI (The "Round-Trip" Workflow)

Restore a project from a Markdown file (e.g., after an AI refactor):

code-assembler --rebuild refactored_codebase.md --output-dir ./restored_project

4. Compress a Dependency (The "Skeleton" Workflow)

Generate a lightweight snapshot of a third-party package — full structure, minimal tokens:

# Your own code — full detail
code-assembler src/ --ext py --output my_package.md

# A dependency — signatures + docstrings only
code-assembler .venv/lib/some_dep/ --ext py --compress --output dep_skeleton.md

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📖 CLI Options Reference

Option	Description
paths	Files or directories to analyze
--ext / -e	Extensions and filenames to include (e.g., py md Dockerfile)
--output / -o	Output file name (default: codebase.md)
--since / -s	Delta Mode: Only include changes since this snapshot
--rebuild	Reconstruct project from a Markdown file
--output-dir	Target directory for reconstruction
--clip / -k	Copy result directly to clipboard
--dry-run	Preview rebuild without writing files
--compress / -z	(v4.5) Compress to signatures + docstrings only
--compress-level	(v4.5) signatures (default) or docstrings_only
--interactive / -i	Launch the interactive wizard
--config / -c	Load a JSON configuration file
--exclude / -x	Patterns to exclude (added to defaults)
--max-size	Maximum file size in MB (default: 10.0)
--version	Show version and exit

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🗜️ Compression Mode — How It Works

--compress reduces each file to its structural skeleton. The goal is to give an LLM full context about a codebase's shape and API surface without the implementation noise.

# Original (full file) — ~80 tokens
def connect(host: str, port: int, timeout: float = 30.0) -> Connection:
    """Establish a TCP connection to the server."""
    sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
    sock.settimeout(timeout)
    sock.connect((host, port))
    return Connection(sock)

# Compressed — ~15 tokens
def connect(host: str, port: int, timeout: float = 30.0) -> Connection:
    """Establish a TCP connection to the server."""
    ...

Language support:

Language	Requirement
Python	✅ Always available (stdlib ast)
JavaScript / JSX	pip install "code-assembler-pro[compress-js]"
TypeScript / TSX	pip install "code-assembler-pro[compress-ts]"
Rust	pip install "code-assembler-pro[compress-rust]"
Go	pip install "code-assembler-pro[compress-go]"
Java	pip install "code-assembler-pro[compress-java]"
C	pip install "code-assembler-pro[compress-c]"
C++	pip install "code-assembler-pro[compress-cpp]"

Missing parsers are reported at startup with the exact install command — other files are passed through unchanged.

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🔌 Programmatic API

Code Assembler Pro can be integrated into your Python pipelines (CI/CD, custom AI agents).

Basic Assembly

from code_assembler import assemble_codebase

markdown = assemble_codebase(
    paths=["./src"],
    extensions=[".py", ".js"],
    output="context.md"
)

Compressed snapshot of a dependency

markdown = assemble_codebase(
    paths=[".venv/lib/requests"],
    extensions=[".py"],
    output="requests_skeleton.md",
    compress=True,
)

Incremental Update (Delta Mode)

assemble_codebase(
    paths=["./src"],
    extensions=[".py"],
    since="previous_snapshot.md",
    output="delta_update.md"
)

Project Reconstruction

from code_assembler.rebuilder import CodebaseRebuilder

rebuilder = CodebaseRebuilder("ai_response.md", "./new_src")
rebuilder.rebuild()

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⚙️ Advanced Configuration (JSON)

For complex projects, use a JSON configuration file:

{
  "paths": ["./src", "./infra"],
  "extensions": [".py", ".ts", ".j2", "Dockerfile", ".env"],
  "exclude_patterns": ["migrations", "__pycache__", "*.test.ts"],
  "output": "project_context.md",
  "recursive": true,
  "include_readmes": true,
  "max_file_size_mb": 2.0,
  "truncate_large_files": true,
  "truncation_limit_lines": 500,
  "compress": false,
  "compress_level": "signatures"
}

Run it using: code-assembler --config assembler_config.json

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💡 Recommended Use Cases

1. Massive Refactoring Loop

1. Assemble your project: code-assembler . -e py --clip
2. Paste into Claude: "Refactor this project to use Pydantic v2."
3. Save Claude's response as refactor.md.
4. Apply changes: code-assembler --rebuild refactor.md --output-dir .

2. Dependency Context (new in v4.5)

Give the AI full structural context of a library without burning your token budget:

code-assembler .venv/lib/pydantic/ -e py --compress --output pydantic_api.md

3. Incremental Debugging

After fixing a bug, send only the delta to the AI to verify the fix without re-sending the whole codebase:

code-assembler . -e py --since previous_snapshot.md --clip

4. Infrastructure Audit

Include Dockerfile, Makefile, and .tf files to give the AI a full view of your deployment stack.

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🤝 Contributing

Contributions are welcome!

1. Fork the Project.
2. Create your Feature Branch (git checkout -b feature/AmazingFeature).
3. Commit your Changes (git commit -m 'Add some AmazingFeature').
4. Push to the Branch.
5. Open a Pull Request.

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📄 License

Distributed under the MIT License. See LICENSE for more information.

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Code Assembler Pro — Give your AI the context it deserves, then take the code back. 🚀