Asking a language model to help with code is useful right up until it confidently gives you something that breaks the moment you run it — because the AI was never actually running anything. Devassistant.ai fixes that gap by giving GPT-4 access to a real development workstation, so suggestions are grounded in a real environment rather than theoretical output.
Devassistant.ai sets up an AWS instance and a VS Code server, then provides an interface to communicate with GPT-4 for tasks like AI DevOps, adding or updating code, and codebase analysis. You get full command line and code editor access alongside the AI, which means tasks that used to require a lot of back-and-forth copy-pasting between a chat window and your IDE now happen in one connected place — with an AI co-programmer that can actually execute, not just suggest.
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