Claude forgets. Gemini costs money. So one engineer built a system to give AI agents real memory, task discipline, and the ability to coordinate with each other—and it's already shipping real products.
Everyone's blaming AI for making them lazy. But the real laziness? Accepting AI output without questioning it. Here's how to build systems that actually change behavior.
Retail loses billions annually to markdowns on misplaced inventory. Agentic AI changes the game by making autonomous sourcing decisions that treat every order as a margin-protection opportunity.
AI-assisted testing is reshaping QA workflows, but the gap between vendor promises and reality is wider than most teams realize. We separated the genuine productivity wins from the polished pitch.
Everyone's shipping AI into production. Almost nobody's doing it responsibly. Here's what actually matters—and why most companies will skip half of it anyway.
In early January, GitHub Copilot engineers started talking about a genuine inflection point. Opus 4.5 wasn't just another model update—it was the moment the status quo became uncompetitive.
Lima's new macOS guest support sounds shiny. But the real story is whether its AI safety guardrails actually prevent disasters—or just make developers feel better about letting Claude loose on their codebase.