Andrew Boyagi, customer CTO at Atlassian, says AI’s impact should never be measured in lines of code, but in human creativity ...

Software quality often slips not because of major flaws, but because of small cracks in the software development lifecycle ...

Considering the scaling history and trajectory of generative AI models (specifically large language models, or LLMs) specialized for coding, the software development life cycle (SDLC) is ripe for ...

The Waterfall framework and the Agile software development process are two competing software development approaches, and the two of them couldn't be more different. Here are the important highlights ...

In the coming years, generative AI (GenAI) is expected to revolutionize software product engineering. Because it presents a significant opportunity to enhance software development, drive digital ...

When new projects or important updates aren’t progressing as quickly as planned, leaders of software companies may wonder whether their development teams are missing the mark. However, while it’s ...

AI agents aren’t just for coding — now they’re helping architects and project managers vibe faster with smarter designs and plans. You may have heard of vibe coding. But what about vibe software ...

Leading organizations highlight key takeaways from initial implementations of generative AI across the app-dev lifecycle, including benefits, limitations, team impacts, and lessons learned. Generative ...

Automotive software is becoming more expensive and central to a car’s identity. Infotainment, advanced driver-assistance systems (ADAS), traction control, and even powertrain management are all shaped ...