smart-doc + Torna form an industry-leading document generation and management solution, using smart-doc to complete Java source code analysis and extract annotations to generate API documents without ...

Learn how to evaluate LLM quality and limitations using a range of testing techniques, from unit and regression testing to ...

AI’s biggest risk isn’t future autonomy. Its unreliability is quietly driving up costs, skewing ROI, and limiting real-world ...

The Java Community Process formally launches development of Java SE 28, with Project Valhalla once again positioned as the release's most closely watched feature.

AI-native development is changing how engineering teams create value. Here's why traditional productivity frameworks are no ...

Tom Fenton moves from local AI concepts to hands-on tools for matching LLMs to hardware, running local chatbots with Ollama and benchmarking AI performance.

Open-source Java projects advance Jakarta EE compatibility, persistence capabilities, and developer tooling as enterprise teams prepare for the next generation of Java applications.

The second batch of “First Proof” problems is meant to evaluate AI’s usefulness for research-level math. The best model got six or seven of the ten questions right.

Does the Nvidia App really hurt gaming performance? We benchmarked its background app, overlay, recording, and filters to see ...

Lead the interaction between business, editorial and technical teams along with external partners and act as the single point of contact. Facilitating requirement gathering and training sessions.