Zero-Code

Ever wanted to fine-tune an LLM but bounced off the three-hour tutorial on YAML configs, Python environments, and CUDA toolkit versions? Yeah, me too. And I’ve been tracking this space long enough to know most tools assume you’re an ML engineer who dreams in transformer architectures. But LlamaFactory? And it takes a different approach. Here’s what it is: a zero-code LLM fine-tuning framework with over 72,830 GitHub stars, supporting 100+ models and 20+ training methods. And its claim to fame? A Gradio-powered Web UI called LLaMA Board that turns the whole process into a visual workflow — pick your model, load your dataset, hit Start. ...

Ever tried building an AI agent from scratch? I spent a weekend with LangChain once, and by the end I had a lot of respect for anyone shipping a CrewAI pipeline to production. The code complexity is real. Dify and n8n simplify things with drag-and-drop — but sometimes you don’t want to wire boxes and arrows either. You just want to describe what you need and have it built. So when I found Nexent — a zero-code platform that generates agents from plain English — I had to test it. 5,100 GitHub stars, MIT license, and v2.0 just dropped with a feature most agent builders don’t have: A2A protocol for agent-to-agent collaboration. ...