Programming efficient asynchronous systems is challenging because it can often be hard to express the design declaratively, or to defend against interleaving-dependent bugs such as data races and ...

A slower "reasoning" model might do more of the work for you -- and keep vibe coding from becoming a chore.

Abstract: During testing, an error in software can either propagate to the output variables or be masked before it reaches them. Error propagation and masking ...

Vibe coding works best in tiny steps, not big specs. Persistent AI documentation eliminates re-ramp time. Git, backups, and exports are critical safety nets. This is not my first vibe coding rodeo. I ...

Developers are navigating confusing gaps between expectation and reality. So are the rest of us. Depending who you ask, AI-powered coding is either giving software developers an unprecedented ...