Raw prompt log and AI responses for developing autonomous driving heuristics in TORCS.
Note: This post is a raw development log storing the exact prompts and responses used with the local LLM (IBM Granite-3.2-8B) to build the autonomous racing agent. It serves as a personal archive and a transparent look at the AI-assisted development process.
Development Log: Autonomous TORCS Racing Agent
Model used: ibm-granite-3.2-8b-instruct
This log documents all the prompts and answers used in IBM Granite models for this project.
1. Initial Model Creation
Starting a new project to develop an autonomous driving AI for the TORCS simulator using Python and IBM Granite.
There's a moment, building an autonomous agent, when you realize you have no idea what it's...
graphlens-mcp gives Claude Code, Cursor, and compatible clients a typed graph of your code, so they...
Let me be clear about my role up front, because it matters: I didn't hand-write the code for this. I...
I've been building NexusMem mostly alone, in long stretches, for a few weeks. It's a local-first...
Built for the Build Small Hackathon (Hugging Face and Gradio), Backyard AI track. A fine-tuned 4B...
