To design an effective software engineering organization that delivers business value, software engineering leaders should begin by understanding the IT operating model (ITOM) targeted by their CIO.

As large language models (LLMs) become increasingly sophisticated, a new discipline is emerging that goes far beyond traditional prompt engineering: context engineering. This evolving practice ...

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 ...

While some consider prompting is a manual hack, context Engineering is a scalable discipline. Learn how to build AI systems that manage their own information flow using MCP and context caching.

Companies are realizing that higher AI productivity does not come from using bigger models, but rather from using AIs that understand the context they operate in. Context helps AI interpret ...

Software engineering intelligence platforms such as Code Climate’s Velocity give engineering leaders a deeper, data-driven understanding of how their team works and where they can improve. In today’s ...