The latest articles on DEV Community by xeivora (@luxshan01). https://dev.to/luxshan01 https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3968620%2F4a76c14f-b0ea-46f8-a389-a62aa8425d68.jpg https://dev.to/luxshan01 en xeivora Thu, 04 Jun 2026 16:27:49 +0000 https://dev.to/luxshan01/the-project-shouldnt-stop-when-the-model-does-405i https://dev.to/luxshan01/the-project-shouldnt-stop-when-the-model-does-405i <h1> The Project Shouldn't Stop When The Model Does </h1> <p>I use ChatGPT for planning, Claude for reasoning, Cursor for coding, GitHub for code, and docs for notes.</p> <p>The problem isn't the tools.</p> <p>The problem is context.</p> <p>Every time I switch tools, hit a token limit, or come back after a few days, I spend time rebuilding context instead of building.</p> <p>What was I working on?</p> <p>What decisions did I make?</p> <p>What's already completed?</p> <p>What's next?</p> <p>AI models are getting smarter, but workflows are still fragmented.</p> <p>That's why I'm building Xeivora.</p> <p>The idea is simple:</p> <p>Instead of context belonging to a specific AI model, the project owns the context.</p> <p>So whether you switch between ChatGPT, Claude, Cursor, or return weeks later, the project remembers where you left off.</p> <p>Because the project shouldn't stop when the model does.</p> ai productivity startup webdev