Java compilers take center stage in this second article in the JVM performance optimization series. Eva Andreasson introduces the different breeds of compiler and compares performance results from ...

This live interactive training covers prompt engineering for coding, AI-assisted software development, API integrations.

With the promise of exascale supercomputers looming on the horizon, much of the roadmap is dotted with questions about hardware design and how to make these systems energy efficient enough so that ...

The majority of TENCENT (00700.HK)'s code this year has been generated by AI, and TENCENT engineers may spend more time on ...

Troubleshooting live applications when they fail to meet nonfunctional requirements, such as performance, throughput and response times? That's not fun. Which is why every DevOps team should have a ...

In recent years, researchers have used artificial intelligence to improve translation between programming languages or automatically fix problems. The AI system ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Let’s back up for a second: Are there advantages to using AI to write code? Certainly. We ...

The code generated by large language models (LLMs) has improved some over time — with more modern LLMs producing code that has a greater chance of compiling — but at the same time, it's stagnating in ...

As popular and robust as these tools and platforms have become, low-code/no-code is not going to replace professional developers anytime soon, experts say. Even though most organizations have been ...