The code can improve itself, but humans will still be responsible for understanding why something changed and whether it ...
Some enterprises are now using AI-enabled engineering maturity platforms that monitor code quality, team velocity, and AI ...
Model-Driven Software Engineering (MDSE) represents a paradigm shift in software development whereby models serve as the principal artefacts throughout the lifecycle of an application. By elevating ...
Leveraging large language model (LLM) technology and implementing enterprise-specific chat systems and generative AI can significantly accelerate engineering processes within an organization. These ...
China’s new coding AI beats GPT-5.1 and Claude 4.5, with 128,000-token context helping you solve tougher repos faster and cut ...
Today’s electronic systems are an increasingly complex combination of hardware and software components. They contain an ever-expanding range of functions, require more computing power, have to operate ...
OpenAI’s GPT-5.2-Codex advances software engineering with better reasoning and context understanding
OpenAI Group PBC today released a new version of GPT-Codex, its agentic artificial intelligence coding model that’s designed to automate complex software engineering tasks. The latest version, GPT-5.2 ...
On a 5K screen in Kirkland, Washington, four terminals blur with activity as artificial intelligence generates thousands of lines of code. Steve Yegge, a veteran software engineer who previously ...
With over a decade of experience in the software industry, Chuanrui Li has closely observed and actively participated in the transformative impact of artificial intelligence on the field of software ...
Today, teams often rely on disconnected logs, postmortems, and ad-hoc debug when failures emerge in the field. Lifecycle ...
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