Near-peer adversaries now field a sophisticated arsenal of aerial threats capable of executing complex, multidomain attacks designed to overwhelm ...

Co-author Jon Kern says AI coding tools amplify strengths and expose weaknesses Interview Twenty-five years after 17 software developers gathered at a Utah ski resort to draft the the Agile Manifesto, ...

Abstract: Business Process Management Systems (BPMS) are critical for enabling organizations to automate, monitor, and optimize their core processes. While agile software development approaches have ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

The youngest team in the NBA is the Brooklyn Nets, with an average player age of 24.9 years old. A common problem with rebuilding teams with an abundance of youth is allocating developmental minutes.

The software industry is undergoing a profound transformation, driven by advances in AI. Alexey Astakhov, Vice President of Engineering at *instinctools, shares his insights on how vibe coding is ...

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 ...

SDLC guides teams to plan, build, test, and deliver software. Discover phases, KPIs, tools, and checklist with our quick start guide. Picture this: You and your team have spent a tremendous amount of ...

Pressure grows for software better aligned with business. Agile techniques have been stagnant for a decade. AI may speed up Agile team output. Agile has always had the best intentions: work side by ...

I never intended to spend my early career tangled up in bureaucracy. As a product manager, I felt like my days were a relentless cycle of meetings discussing "feasibility," while my evenings were a ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.