As AI moves from prompts to agents, the focus is on optimising Human-AI workflows. That’s simply an AI evolution of ...

Loop engineering, a new phrase circulating among AI developers, is becoming a way to describe how software teams are trying to get more value from coding agents: not by writing better one-off prompts, ...

The loop takes agentic AI a step further, by authorizing a swarm of agents to work continuously in the background, endlessly.

You're currently following this author! Want to unfollow? Unsubscribe via the link in your email. For the most powerful voices in AI, it's all about being in the loop. Claude Code creator Boris Cherny ...

Felt like coding without coding ...

The company's use of agentic models to take its custom chip from a blank slate to tape-out in just nine months signals a new ...

As organizations move from AI assistants to AI agents capable of planning and executing entire workflows, they must scale ...

The rapid spread of artificial intelligence (AI) has fundamentally changed the landscape of software engineering, simultaneously accelerating productivity and exposing serious gaps in developer ...

Unless you're coding or stress-testing benchmarks, the "latest and greatest" usually won't change how you use AI.

Structured specifications help AI coding agents build what engineers actually need by capturing intent before code generation ...

Moving beyond manual debugging, Self-Harness empowers AI agents to test, evaluate, and rewrite the very logic that governs ...

Spring AI 2.0 advances the Java framework for generative AI apps with a Spring Boot 4 baseline, cleaner agentic tooling, Model Context Protocol support and vendor-backed integrations including Azure ...