10 Newsletters Keeping You Ahead in AI
Cut through AI noise with 10 curated newsletters covering daily news, technical research, policy, and builder tools.
Author: Ebba
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5 Free Courses to Go From AI Beginner to Practitioner
Follow this free five-course roadmap to build real AI skills, from classical algorithms to training LLMs from scratch.
Run the Mythos Enhanced Coding Model Locally with llama.cpp and Pi
Run Qwythos-9B-Claude-Mythos-5-1M locally with llama.cpp, connect it to Pi coding agent, and build fast local coding workflows using MTP speculative decoding and an OpenAI-compatible API.
A Beginner’s Guide to Setting Up Claude Code for High Performance Agentic Programming
This article walks through the actual configuration, permissions, hooks, and command habits that separate a fresh install from a setup that holds up under real, sustained agentic work.
Top 5 MCP Servers for High-Performance Agentic Development
Here are five that are genuinely worth wiring into a high-performance agent development setup, chosen for what they do to an agent's actual capability rather than their star count.
Could Your AI Systems Already Be High-Risk Under the EU AI Act?
Access the on-demand webinar to understand what the latest guidance means for your AI governance program and what your organization should do next.
KDnuggets Weekly Roundup: Week of July 13, 2026
Stop Using If-Else Chains: Use the Registry Pattern in Python Instead • 5 Real-World SQL Projects to Build Your Data Portfolio • 10 YouTube Channels Keeping You Ahead in AI • Structured Language Model Generation with Outlines
Git Worktrees for AI Development
A Git worktree is a separate directory checked out from the same repository. You can have as many as you need, each on its own branch, all coexisting simultaneously on your filesystem.
5 FREE Resources on Agentic AI
Here are 5 curated resources to help you progress your agentic AI learning for FREE.
Working with Pi Coding Agents
The most interesting thing about Pi isn't any single feature; it's that the project treats "what we didn't build" as documentation worth writing, which is rare enough on its own to take seriously.