The economics of the software package era were interesting. Each version of a given software package was to be written, ...

It doesn’t get more physical than aerospace. I know. I spent over 10 years on SpaceX’s mission operations team in charge of ...

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

“The amount of code being written by AI is exploding,” says Tariq Shaukat, Sonar’s CEO. “It’s improving productivity, it’s ...

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

Artificial intelligence (AI) is automating core parts of software development, forcing engineers to rethink their roles.

The data points toward a hybrid model where quality responsibility becomes increasingly distributed. And automation is ...

This creates what you might call the AI workflow paradox: the faster we can generate code, the more critical it becomes to ...

Learn about Jules 3.0, the free AI assistant packed with features to streamline coding workflows and boost developer ...

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).

Balancing the benefits provided by community and transparency with the risks posed by capacity and warranty issues.

Testing evolved into a real-time, always-on process built directly into development, and became known as Instant QA.