The enterprise AI market is currently nursing a massive hangover. For the past two years, decision-makers have been inundated with demos of autonomous agents booking flights, writing code, and ...

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, ...

What if you could master the future of artificial intelligence in just 30 minutes? Sounds impossible, right? Yet, as AI continues to transform industries, the demand for systems that can think, plan, ...

Imagine a world where machines don’t just follow instructions but actively make decisions, adapt to new information, and collaborate to solve complex problems. This isn’t science fiction, it’s the ...

Large language models (LLMs) and AI agents aren’t important to software engineering because they can write code at superhuman speeds. Without the right guardrails, as I’ve highlighted, that speed ...

By focusing on evidence and small reversible changes, loop engineering could curb costly AI coding mistakes before they reach ...

When an agent does something, the whole company should learn from it, so that every developer gets access to the shared ...

The AI coding market has organized itself around a fundamental question about where human judgment belongs in the software development loop. On one side sits the IDE-first bet: keep the engineer in ...

A new technical paper, “Agent Factories for High Level Synthesis: How Far Can General-Purpose Coding Agents Go in Hardware Optimization?” was published by IBM. “We present an empirical study of how ...