Model Context Protocol, or MCP, is arguably the most powerful innovation in AI integration to date, but sadly, its purpose and potential are largely misunderstood. So what's the best way to really ...

Git isn't hard to learn, and when you combine Git and GitHub, you've just made the learning process significantly easier. This two-hour Git and GitHub video tutorial shows you how to get started with ...

Everyone’s been in a debate when someone says: “You’re taking that out of context.” But what does it actually mean to understand something “in context”? Appeals to context feel irrefutable. Of course ...

At a glance, the two large B2B companies were almost identical. Both sell complex, multi-year technology services; they compete for many of the same enterprise customers. Sales stages, forecasting ...

We live in an era when endless switching from one type of activity to another has become a necessity of life. Throughout the day, our focus on specific tasks gets disrupted by various emails, texts, ...

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.

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 prompt engineering will remain vital, getting consistent, situationally aware results from AI models will require IT teams to build context ingestion processes for agentic AI. Organizations ...

What happens when the very thing designed to make AI smarter—more context—starts to work against it? Large Language Models (LLMs), celebrated for their ability to process vast amounts of text, face a ...

What if the secret to unlocking the full potential of AI in coding isn’t about crafting the perfect prompt but about designing the perfect environment? Imagine an AI system that doesn’t just guess at ...