Parallel development is here. See tactics to manage AI generated code variations, reduce PR clutter, and shift testing to ...

Organizations that treat AI adoption as both a technical evolution and a cultural transformation see the most lasting impact.

In the race to build and release software faster, many organizations unintentionally overlook one critical aspect: security and process integrity within the Software Development Life Cycle (SDLC).

AI in software engineering— a loose, vibes-based approach has given way to a systematic approach to managing how AI systems ...

A kitchen-sink approach to building containers has loaded many with vulnerabilities. Here are the companies addressing the ...

The 2024 DORA Accelerate State of DevOps Report provides a warning: AI use was associated with a 7% decrease in stability when not paired with systemic safeguards (small batch sizes and testing), ...

ZDNET's key takeaways Pressure grows for software better aligned with business.Agile techniques have been stagnant for a decade.AI may speed up Agile team output. Agile has always had the best ...

Software developers will still drive the core constructs of any given codebase, they will determine the algorithmic logic ...

Before a car rolls off the production line, manufacturers run virtual tests on it. Simulating tires is particularly ...

Integrating a Secure Product Development Framework into the product development lifecycle can help ensure security from the ...