Master Context in Claude Code in 5 Minutes

Here's why your Claude code sessions sometimes go sideways. Context. Too much and Claude gets confused. Too little and it hallucinates. The developers getting incredible results. They're mastering context engineering. [music] [music] And I'm about to show you exactly how they do it. [music] Hey, Alex here from Grit AI Studio. Welcome to another episode in our

mastering claude code series. Today we're diving into context management, the skill that separates frustrating CLA code sessions from magical ones. By the end, you'll know how to visualize your context, when to clear it, and the sub agent trick that preserves your main conversation. In case you missed it, make sure you check out our getting

started video and our video about managing rules and memory in Claude Code. Links in the description below. Okay, let's engineer some context. Here's the thing about LLMs. They have an attention budget. Every token in your context window competes for attention. Think of it like a meeting. If you invite 50 people who all talk at once,

nothing productive happens. But if you have five focused experts with relevant information, you can achieve magic. The same applies to Claude code. Context engineering is about selecting the highest impact tokens with minimal noise. With too much context, Claude loses focus on your actual task. Performance degrades and responses become generic. With too little context,

well, then we encounter hallucinations. Claude fills in the blanks. wrong assumptions about your codebase or generic solutions that don't fit. The sweet spot is selective relevant context. Let's visualize what's happening. You see this grid? Each block represents context usage. You can see how much of your window is used, what's taking up space, and when you're approaching