Author(s): Jahid Originally published on Towards AI. How AI Engineering Keeps Renaming Itself; The Evolution of AI Engineering, From Prompt to Graph Midway through 2026, a developer posted a twelve-word question. Are we still talking loops, or did we shift to graphs …

Author(s): Darshandagaa Originally published on Towards AI. loop engineering “My job is to write loops.” That’s Boris Cherny, who leads Claude Code at Anthropic. He’s said he stopped prompting Claude directly and now spends his time designing the loops that prompt it …

Author(s): Shrinidhi Atmakur Originally published on Towards AI. Building Safe AI Agents for DevOps: Governance First, Automation Second Image credit: Generative AI Introduction AI agents are rapidly becoming part of the modern DevOps toolkit. Imagine asking an AI assistant:“Deploy Orders Service version …

Author(s): Saurabh Singh Originally published on Towards AI. Cheap, Fast, and Good: How Chinese AI Models Broke the Pick-Two Rule The project-management triangle, updated for 2026. Every engineer knows the triangle. Cheap, fast, good — pick two. It’s held for decades across …

Author(s): Chew Loong Nian – AI ENGINEER Originally published on Towards AI. Mem0 vs Zep vs Letta: A Folder of Text Files Shouldn't Beat the 61K-Star Memory Layer The most-installed agent memory layer on GitHub has passed 61K stars. Letta beat its …

Author(s): Satyam Sahu Originally published on Towards AI. A peek under the hood at next-token prediction, RLHF, and the practical prompt engineering tricks to bridge the confidence gap We’ve all got that one friend in our group. Image created using AI | …

Author(s): Rick Hightower Originally published on Towards AI. Building a human-in-the-loop regulatory-change agent on the Docusign MCP Server, with Claude Cowork and no code In this article we connect the Docusign MCP Server to Claude Cowork, load real agreements, build the workflow …

Author(s): Caspar Bannink – AI Engineer Originally published on Towards AI. The First Successful Autonomous Agentic Cyber Attack OpenAI did not announce GPT-6. It disclosed something more useful, and more alarming, for anyone building AI systems. The author argues that the incident …

Author(s): Yashraj Behera Originally published on Towards AI. Inkling Is Mira Murati’s First Model. Here’s How to Actually Use It Thinking Machines Lab, founded by OpenAI’s former chief technology officer and sitting on two billion dollars of funding, shipped its first model …

Author(s): Yuval Mehta Originally published on Towards AI. Prefill-Decode Disaggregation: When and Why to Split Your Inference Stack Photo by Kvistholt Photography on Unsplash Every major inference engine now supports it. vLLM shipped disaggregated prefill as a stable feature. SGLang has it. …

Author(s): David Pradeep Originally published on Towards AI. Cost-Optimized Agent Architecture: Strategic Model Selection and Caching for Multi-Agent Systems The first time I stared at a cloud bill after deploying a fleet of AI agents, the numbers felt like a punchline, my …

Author(s): Code X Originally published on Towards AI. HTTP Method :The Actions Behind Every API Call How does your app tell an API what action to do ? Types of HTTP Method ? Classification of HTTP Methods? In this series we will …

Author(s): allglenn Originally published on Towards AI. Pi: The Coding Agent Built by Someone Who Got Fed up With Claude Code Mario Zechner liked Claude Code. Then he watched it get worse in a way that’s specific to how agent tools tend …

Author(s): Praveen Kumar Originally published on Towards AI. Agno Says It Builds Agents 529× Faster Than LangGraph. I Measured What That Actually Buys You Open the Agno performance page and the first thing you see is a number designed to end the …

Author(s): allglenn Originally published on Towards AI. A practical guide to the 10 concepts behind deploying open-weight LLMs in production: licensing, quantization, serving engines, and observability. Fifty engineers start using your new internal assistant on launch day. The first ten get answers …