Articles about AI Engineering in Technology & AI
We've had open source and agile. Now, a third wave is hitting software development: agentic AI. These aren't just coding assistants; they're autonomous agents poised to manage entire projects. Here's what you need to know.
Tired of messy, manual data analysis? Learn how to build a team of specialized AI agents using Google's ADK to automate everything from data loading and statistical tests to visualization and reporting.
Ever wonder what actually powers AI? It's not magic—it's a fascinating world of specialized computer chips. Let's break down the key players like CPUs, GPUs, and TPUs in a way that actually makes sense.
Tired of the endless cycle of prompt tuning? A new open-source library called AutoAgent lets an AI take over, autonomously engineering and optimizing its own agent harnesses overnight to achieve #1 benchmark scores.
Ever feel like "AI agents" are all hype? Let's get our hands dirty and build a real, working agent from scratch using Z.AI's GLM-5, from basic chat to multi-tool workflows.
Stop fighting with unpredictable LLM responses. This guide shows you how to use Outlines and Pydantic to force language models to generate perfectly structured, type-safe, and validated JSON every single time.
Go beyond a simple `for` loop. Learn how to use Python's tqdm library to create powerful, real-time progress bars for nested loops, file downloads, pandas, parallel processing, and even async workflows.
NVIDIA just dropped a bombshell for anyone building AI agents. Their new Nemotron-Terminal framework reveals the secret data engineering pipeline that lets smaller models outperform giants, proving that smarter data is the real key to success.
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 wished you could just tell an AI to analyze a dataset in Google Colab and have it work? We'll show you how to build a production-ready AI agent that can programmatically control notebooks, run code, and automate your entire workflow.
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."