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

AI is increasing both the number of pull requests and the volume of code within them, creating bottlenecks in code review, integration, and testing. Here’s how to address them. AI is dramatically ...

Tech CEOs are making ambitious claims about AI's coding capabilities. In March, Anthropic CEO Dario Amodei said "we'll be there in three to six months — where AI is writing 90% of the code." Meta's ...

AI-driven coding promised speed, but its code often fractures under pressure, leaving teams to carry the weight of failures that slow products and raise real costs. Buoyed by the rise of AI, many ...

In the SDLC, there should be no shortcuts. Developers must view AI as a collaborator to be monitored, rather than an autonomous entity to be unleashed.