Agentic AI is now a core part of the engineering process, driving massive execution leverage and helping us generate more code than ever before. Yet, a difficult question I’ve increasingly heard from ...

Uber is setting limits on how much employees can spend on artificial intelligence agents after its workers blew through their yearly AI coding budget in just four months. Each employee at the ...

They're more productive than ever. They're inspired. And some of them are terrified. Software engineers have spent decades in one of tech's most lucrative and in-demand roles. Now, they're watching ...

This video delves into how computers store text as eight bits per character and examines why more efficient methods are not widely adopted. It also discusses techniques for compressing text into ...

It should be a tough time to be a software engineer: Coding is a favorite early artificial-intelligence use case and layoffs are spreading through the tech industry. But job postings in the ...

Peter Gustav Olson of Zacco draws on recent case law to consider whether the EUIPO is changing its approach to enforcement as AI drives a rapid software evolution If many recent articles are to be ...

For decades, building software required significant cost. You needed people and process. You needed tools, infrastructure, sprint cycles, coordination plus capital, structure, and distribution plans.

Why the rush to replace developers with LLMs is leaving companies with brittle systems, runaway cloud bills, and a painful rebuild. For the past few years, I’ve watched a specific story sell itself in ...

A world that runs on increasingly powerful AI coding tools is one where software creation is cheap — or so the thinking goes — leaving little room for traditional software companies. As one analyst ...

Two things to know about the selloff in software stocks. First, the easy wordplay is already taken. “SaaSpocalypse” is everywhere, suggesting a biblical reckoning for software-as-a-service companies.

A seasoned veteran said his fellow software engineers need to learn "how to say 'no,' real fast" or risk getting crushed by AI. Steve Yegge, who worked with Jeff Bezos at Amazon early on before ...