
Codeye is a sophisticated extension for the Visual Studio Code environment, offering a carved-out avenue for improving developer productivity. Functioning as an Artificial Intelligence-powered Software Engineer agent, it works to facilitate swift and efficient quality software development directly within the Visual Studio Code interface.
Codeye has the inherent capability to generate comprehensive software projects, manage servers, and install developer tools. This is fueled by simple textual prompts, hence rendering ease of usage.
One of its distinguished features is AI-powered code generation, which allows for effortless creation of code snippets or entire projects. It also provides automated software installation for quick set-up of developer tools and work environments.
Additionally, it offers a Server Management feature to deploy and manage stack servers across various programming languages. Leaning into seamless integration, Codeye operates directly within Visual Studio Code.
Users can install Codeye via the Visual Studio Code extensions tab, choose their preferred AI model under Settings > Extensions > Codeye, and provide the credentials based on the selected model.
Furthermore, launching Codeye post installation can be accomplished in various ways such as through the Command Palette or Terminal.
Releases
Pricing
Prompts & Results
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21,15827Released 1mo agoFree + from $32.68/moQuick update: Verify is now live on the Microsoft Edge Add-ons store in addition to Chrome. Same one-click resume red flag check in seconds. Same free first-day trial. Now available in whichever browser your team uses most. Recruiters are already catching issues their ATS missed... sometimes on the very first resume they check. If you’ve been meaning to test it, this is your sign → https://microsoftedge.microsoft.com/addons/detail/hiiappghgofoiionoeloemlkcankbpka
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27,49821Released 18d agoFree + from $19.99/mo
Pros and Cons
Pros
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Cons
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Q&A
If you liked Codeye
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6,65517Released 18d ago100% FreeWhat stood out was explainability. The Reasoning panel shows exactly how the advice follows from hexagram → line texts → question context. It felt more like a decision journal than a “fortune.”
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