Basic AI prompts use 1-3 generic words like "dog" or "sunset," producing illogical results because they lack specificity.

The code can improve itself, but humans will still be responsible for understanding why something changed and whether it ...

As AI tools accelerate how engineering teams write and deploy code, review and quality processes are struggling to keep pace. Swiggy CTO Madhusudhan Rao and other senior technology and engineering ...

Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

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 ...

2025 has seen a significant shift in the use of AI in software engineering— a loose, vibes-based approach has given way to a systematic approach to managing how AI systems process context. Provided ...

Abstract: Defining and identifying waste associated with software is a hot topic in the information technology industry. Therefore, on this paper we went through literature searching for definitions ...

AI-powered coding agents are now real and usable. Indeed, coding agents are all around us, touching on every aspect of the software development life cycle, and recently InfoWorld outlined 12 of the ...

1 Fu Foundation School of Engineering and Applied Science, Columbia University, New York, NY, USA. 2 Department of Computer Science, Rutgers University, New Brunswick, NJ, USA. 3 Department of ...

If you omit some key details, all Preston Thorpe has to do to become a senior software engineer at a promising tech company is walk through the door. For about six months, Thorpe was a prolific ...

Benchmarks drive many areas of research forward, and this is indeed the case for two areas of research that I engage with: software engineering and machine learning. With increasing emphasis on AI ...