Agentic AI

You've probably heard the buzz about new AI 'agents' that can actually do things for you. Well, it's causing a major stir in Silicon Valley, and even giants like Google are scrambling to reorganize their teams in response.

We're building AI agents with powerful system access, but new research shows they can be tricked into poisoning their own memory and skills. Let's break down these new threats and the five-layer defense designed to stop them.

AI coding assistants can feel like brilliant but chaotic interns. Garry Tan's new open-source tool, gstack, aims to fix that by giving Claude Code specific roles for planning, code review, QA, and shipping. Let's see how it works.

Ever feel like most AI agents are just blindly following a script? Let's change that. We'll walk through building a "Streaming Decision Agent" in Python that can think, react, and adapt to a world that's constantly changing.

Tired of endless hyperparameter tuning? Let's walk through how to build an autonomous research agent using Andrej Karpathy's AutoResearch framework. You'll learn to automate experiments, track results, and find better models while you sleep, all within a free Google Colab notebook.

Stanford researchers just dropped OpenJarvis, an open-source framework for building personal AI agents that run right on your device. Let's break down why this is a huge deal for privacy, speed, and the future of AI.

GitHub has just released the Copilot-SDK, letting you embed the powerful agentic runtime from the Copilot CLI directly into your own applications. Let's break down what this means for you and why it's a huge deal for building AI-powered tools.

Tired of AI agents that fail in production? Let's walk through how to build a bulletproof agentic workflow using PydanticAI, strict schemas, and tool injection to create reliable, predictable, and model-agnostic AI systems.

Ever feel like chatbots just aren't cutting it? Let's go beyond simple Q&A and explore how to build next-gen AI agents that can plan, use tools, and even check their own work using a "Cognitive Blueprint."

We're all excited about AI assistants that can manage our lives, but what happens when they mess up? A new open-source project called IronCurtain acts as a crucial safety check, preventing AI agents from causing digital chaos.

Ditch the chaotic agent-to-agent calls. Learn how to build a clean, production-grade multi-agent system using LangGraph's shared state and a structured message bus.

Veeam just launched "Agent Commander," a platform that promises to do something new: rollback mistakes made by AI. In a world where AI can cause chaos at light speed, this could be the control switch we've all been waiting for.