Four big lessons, seven practical tips, three useful patterns, and five common antipatterns we learned from building an AI ...

Agentic AI systems need a deep understanding of where they are, what they know, and the constraints that apply. Context ...

AI in software engineering— a loose, vibes-based approach has given way to a systematic approach to managing how AI systems process context.

What if the key to unlocking truly intelligent AI isn’t just about asking the right questions, but about building the perfect environment for those questions to thrive? While much of the conversation ...

The hottest discussion in AI right now, at least the one not about Agentic AI, is about how "context engineering" is more important than prompt engineering, how you give AI the data and information it ...

The days of the once-coveted prompt engineer role appear to be numbered. In July 2023, Anthropic made headlines with a $300,000 offer for prompt engineers, while entry-level roles fetched around ...

Businesses must focus on context engineering, equipping AI models not only with data but also with the nuanced context that enables agents to generate measurable results.

Qodo calls its secret sauce context engineering — a system-level approach to managing everything the model sees when making a decision. This includes the PR code diff, of course, but also prior ...