Developer Blog

GitLab : Link

autocode is a command-line tool that integrates with an LM Studio API-compatible LLM to assist developers in analyzing code and performing safe file system operations through structured tool calls.

---

Overview

autocode allows developers to:

Analyze source code within a project directory.

Interact with an AI assistant using predefined tools.

Safely modify files via secure tool execution (read, list, create, modify, delete).

The tool provides a secure environment by enforcing path validation and protecting critical files like prompt.txt.

---

Features

AI-Powered Code Analysis: Uses LLMs to analyze code and respond with structured tool calls.

Secure File Operations: All file system actions are validated against the base directory scope.

Smart File Discovery: Automatically scans project directories for relevant source files.

Custom Prompts Support: Loads prompt.txt from the project root to customize AI behavior.

Path Validation & Protection: Prevents modification of protected or out-of-scope files.

Multi-Turn Conversations: Supports iterative interactions with the LLM.

Follow these steps to install ComfyUI on an Arch Linux system with AMD GPU support using ROCm (Radeon Open Compute).

---

Step-by-Step Guide

1. Install ROCm Base Components

Install essential ROCm libraries for GPU acceleration:

sudo pacman -S rocm-core rocm-toolchain rocm-hip-runtime rocm-hip-sdk rocblas rocfft rocthrust rccl hipfort magma-hip onnxruntime-rocm

Note: Ensure all packages are available in the official Arch repositories. If missing, consider using AUR (Arch User Repository) for some components.

---

Python Setup

1. Create a Folder

mkdir -p ~/Python/comfy

2. Enter the Folder

cd ~/Python/comfy

3. Install Python and pip

Install Python 3 and pip:

sudo pacman -S python python-pip

Note: If using a newer Arch system, python refers to Python 3 by default.

4. Create a Virtual Environment

python -m venv ./venv

5. Activate the Virtual Environment

source ./venv/bin/activate

---

ComfyUI Setup

1. Install Comfy CLI

pip install comfy-cli

2. Install ComfyUI

Run the installation command:

comfy install

Note: Ensure you're in the ~/Python/comfy directory when running this command.

---

PyTorch for ROCm

1. Visit the official PyTorch ROCm page to get the correct bash command: https://pytorch.org/blog/pytorch-for-amd-rocm-platform-now-available-as-python-package/
2. Example command for ROCm 4.x (update version as needed):

   pip install torch -f https://download.pytorch.org/whl/rocm4.1.0/torch_stable.html
   pip install ninja
   pip install 'git+https://github.com/pytorch/vision.git@v0.9.0'
   

Note: Replace rocm4.1.0 with the latest version available from PyTorch's ROCm release page.

---

Final Checks

• Ensure all packages are correctly installed in your virtual environment.
• Verify ROCm and PyTorch compatibility by checking:

  torch --version
  rocminfo
  

---

Key Notes

• ROCm Compatibility: Confirm that your AMD GPU is supported by ROCm (e.g., RDNA2 or newer).
• PyTorch Version: Use the latest stable version compatible with your ROCm release.
• Virtual Environment: Always use a virtual environment to avoid conflicts.

Get ready to dive into Came of Live NN, an ambitious artificial life simulation where intelligent agents evolve and adapt in a dynamic 3D world! This project, a cutting-edge collaboration between software developer Lee Stripp and the AI model Gemini 2.5 Pro, showcases the fascinating concept of emergent intelligence.

Artificial Life Simulation in C++ & OpenGL

GitLab : Project Page