JetBrains found that the popular AI coding optimization reduced output token consumption without hurting performance, but ...

A comparison of eight AI-powered requirements management platforms for 2026, from NLP-based quality analysis and automated test generation to live traceability scoring, covering Jama Connect, IBM ...

Alfred University, the State University of New York College of Ceramics at Alfred University, and Classiq today announced a joint quantum computing initiative using Classiq’s quantum software ...

How spec-driven development keeps you in control of AI codeBy Ewan Mc Phail, Lead AI Engineer at DVTIssued by Communikay for DVTJohannesburg, 07 Jul 2026 Ewan Mc Phail, Lead AI Engineer at DVT. Back ...

OpenAI's GPT-5.6 Sol advanced another step toward general availability on July 6 when an OpenAI Codex engineer publicly confirmed that Sol Ultra — the model's highest-compute tier — would ship inside ...

Insignary Clarity’s patented binary-first platform analyzes what is actually built, shipped, and deployed — including the ...

Developers are increasingly relying on large language models (LLMs) for everyday computing tasks such as fixing bugs, ...

Every evolution in software development has reduced the friction between an idea and a deployable application. AI may remove ...

For years, the promise of AI in software engineering has delivered incremental gains. Most organizations have adopted an ...

AI coding assistants can speed up bounded tasks, but research shows security and review risks rise in complex codebases.

How thoughtful UI object selection can improve usability, reduce PLC programming, and streamline application development.

AI has made it significantly easier and cheaper to build software internally, which is causing many executives to rethink SaaS subscriptions through a narrow cost-cutting lens.