The development process improves because it is informed by real outcomes. AI learns from what happened, and the team adjusts its inputs. This creates a flywheel effect, with each phase building on the ...

Engineering teams can’t afford to treat AI as a hands-off solution; instead, they must learn how to balance experimentation with rigor, oversight and accountability.

Developers have a growing array of options for AI-powered low-code and no-code development tools. But using them to their full advantage requires adopting best practices. As agentic AI takes hold ...

AI hype has triggered millions of people and many corporations to dabble in AI with some launching full-blown applications.

Google managers are telling some employees their AI use will be factored into performance reviews, including non-technical staff.

[Editor’s Note: This guest post is by Marcelo Calbucci, a longtime Seattle tech and startup community leader.] This month, I ran a survey with early-stage founders from Seattle-based Foundations about ...

AI-assisted development accelerates software delivery but expands the threat surface. From prompt injection and malicious MCP ...

A software developer lost their job after using AI to write code that caused a big problem at work. The developer posted about the incident on Reddit,.

Minecraft creator Markus Persson has just issued a warning: That AI is “being forced down our throats” and that leaders behind the push are “evil.” ...

With progress slowing to a crawl, I researched Windows App SDK alternatives and then started experimenting with AI pair programming.