Articles about AI System Design in Technology & AI
OpenAI just dropped Symphony, an open-source framework that acts like a conductor for your autonomous AI coding agents. We break down how it uses Elixir and a unique 'proof of work' system to turn chaotic AI into a reliable part of your dev team.
Ever wanted to look under the hood of an AI agent? We're going beyond just using a framework and will actually rebuild the core of nanobot—a lightweight Python agent—from scratch.
Remember the massive leaps in AI capability? Those days are fading. The real competitive advantage now lies in custom-built AI that understands your business's unique language and logic.
Ever feel like you're just endlessly tweaking prompts? We'll show you how to use the A-Evolve framework to create an agent that actually learns from its mistakes, improving its skills and memory through automated evolution.
Ever watched an AI agent get lost on a multi-step task? LangChain's new Deep Agents framework is here to fix that. We break down how it gives agents planning, memory, and focus.
AI agents are powerful but forget everything after each task. I took OpenSpace for a spin to see how its self-evolving skills create an AI that actually learns, gets smarter, and saves a ton of money on tokens.
NVIDIA just dropped ProRL AGENT, a new infrastructure that solves a massive bottleneck in training AI agents. By cleverly separating tasks, they've nearly doubled the performance of some models. Here's how it works and why it matters.
Ever wonder why running LLMs at scale eats up so much GPU memory? The culprit is often a wasteful process called KV caching. Discover how Paged Attention, a clever trick inspired by your computer's own memory management, fixes this and dramatically boosts performance.
Tired of AI hallucinations? Learn how to build an uncertainty-aware LLM that estimates its own confidence, critiques its answers, and automatically searches the web when it's not sure.
Ever wanted to build your own team of AI agents that work together to solve complex problems? We'll break down the core concepts of multi-agent systems, inspired by ClawTeam, and show you how to build one from scratch using Python and OpenAI's API.
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 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.