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I tested Claude Opus 4.6 with 1 million token context on my production React Native app (inkigo.ai $200+ MRR). Built a complete prompt history feature from scratch using Expo, SQLite, and bottom sheets.

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⌚️ Timestamps ⌚️
00:00 Intro
00:18 Official Blog Post & Benchmarks
01:30 Long Context Retrieval
02:30 Testing with Real Production App
03:30 Setup & Prompt Planning
05:02 Implementation Begins
06:40 First Results & Testing
08:03 Code Quality & Consistency
09:27 Cost Analysis ($2 Spent)
10:32 Follow-up: Dismissing Sheets
11:01 Long Press Delete Feature
12:32 Adding Quick Access Icon
13:24 Final Testing & Pull Request
14:11 Final Thoughts & Cost Breakdown

#claudecode #ai #claude

Code with Beto

A hands-on demo of Claude Opus 4.6 (with 1 million token context) being used to implement a prompt history feature in a real React Native production app called Inkigo. The author walks through the full workflow using Claude Code CLI, covering planning, code generation, testing on a real device, and creating a pull request. Key observations include the model's ability to follow existing codebase patterns, handle complex UI elements like liquid glass effects and Expo UI form sheets, and maintain context across a large codebase. The total cost for the feature was $3 via the API, which the author considers somewhat high.

Claude Opus 4.6 Just Changed AI Coding