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5x More Context in Claude Code - Here's How to Actually Use It

7.2K views· 162 likes· 20:46· Mar 19, 2026

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In this video you will learn how to take full advantage of the new Claude Code 1 million token context window. 📦 DataImpulse (Sponsor): https://dataimpulse.com/?utm_source=youtube&utm_medium=video&utm_campaign=leonvanzyl 🚀 Join 700+ builders learning AI automation & agentic coding: https://www.skool.com/agentic-labs Anthropic increased the context window from 200K to 1 million tokens for Opus 4.6 and Sonnet 4.6, with standard pricing across the full window. You will learn practical workflows for working with larger files like PRDs and data sets, how to split app specs into implementation waves with feature dependencies, and how to use Claude Code agent teams to build features in parallel. This update changes how you plan, implement and migrate complex projects with Claude Code. ⏰ TIMESTAMPS: 00:00 - Context window compaction problem 00:08 - 1 million token context window 00:37 - Pricing comparison with competitors 01:30 - Working with larger files 03:06 - Switching to Gemini workaround 03:26 - Data Impulse sponsor 04:27 - Planning and implementation workflows 04:42 - App spec from Anthropic repo 06:46 - Splitting features into waves 07:12 - Waves implementation breakdown 08:28 - Feature grouping and dependencies 10:52 - Claude Code agent teams 12:02 - Agent team communication and QA 13:01 - BTW command for agent teams 14:16 - AutoForge features per agent 16:33 - Migration projects use case 17:21 - Real world 400 feature migration Sponsorship enquiries: sponsors@leonvanzyl.com #vibecoding #claudecode #agenticcoding

About This Video

If you’ve been using Claude Code on real projects, you’ve hit the wall: the agent compacts the conversation and suddenly “forgets” half the stuff you were working on. In this video I walk through why Anthropic’s jump from 200K to 1 million tokens (Opus 4.6 + Sonnet 4.6) is a genuinely big deal—especially because it’s standard pricing across the full window. Competitors tend to double the rate once you go past ~200K tokens, so this change doesn’t just give you more room, it simplifies how you build and budget for longer-running sessions. I show practical workflows that actually benefit from the bigger window: loading beefy PRDs, CSVs, and app specs (like the ~680-line appspec from Anthropic’s repo) without doing the painful “chunk and summarize” dance that usually drops critical details. Then I go into the planning approach I use now: split the spec into features, map dependencies, and group them into implementation “waves” so work can run in parallel instead of babysitting one agent through 200–600 features. Finally, I demo Claude Code agent teams: one agent per wave, plus QA and a devil’s advocate, with cross-agent communication—and the underrated “/btw” trick so you can ask questions without interrupting work. I also explain why this matters for nasty migration projects (like a real 400+ feature rebuild) where limited context used to cause compaction and lost functionality.

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