Automation is necessary, but it can bring an "automation paradox": Speed without insight may simply propagate errors faster ...

Product and engineering teams bring different, but equally critical, perspectives to the table. Product teams are typically wired to think big-picture and customer-first. Engineering teams, by ...

TL;DR: Devin, an AI tool by Cognition AI, claims to autonomously build and fix code but has limitations. Criticized for errors and inefficiency, it completed only a few tasks successfully. Despite its ...

Today, teams often rely on disconnected logs, postmortems, and ad-hoc debug when failures emerge in the field. Lifecycle verification instead demands continuity of intent, assumptions, and models from ...