YouTube VideoClick on the thumbnail below to watch the YouTube Video. Or click here. About Shadow CodeShadow CodingTM is an AI coding technique that involves transforming human-written pseudocode to clean, accurate & production-ready code in the target language. (At least, that's what I've told the AI to do in the system prompt.) In Shadow Coding, since users prompt using pseudocode instead of plain english, the input that the AI receives is much closer in nature to the intended output. As a result, compared to vibe coding, Shadow Coding can:
Most importantly, Shadow Coding puts developers back in the driver's seat. With Shadow Coding, developers can control how predictable they want their AI-generated code to be based on the detail & expressiveness of their pseudocode. But, that's not all. Check out the Features section below to know more. InstallationShadow Code is currently available as a free & open-source VS Code Extension. Go ahead and install it from the Extensions Marketplace. Instructions1. Open Shadow ModeThere are 3 ways to open Shadow Mode:
Shadow Mode opens up a parallel tab in your editor in split-view where you enter your pseudocode. You'll notice that it also creates a
2. Write Your "Shadow" CodeIn the 3. Transform Into CodeOnce you're done writing your "shadow" code, there's 2 ways you can convert it to your target code:
The first time you trigger this command, you may be asked to choose an AI model to generate the code. Go ahead and select your preferred model.
Shadow Code will generate the target code in your original code file: https://github.com/user-attachments/assets/f654a0f9-d216-4ccf-ac7b-d3024cf4b636 The above code was generated using Gemini 2.5 Flash.
FeaturesExtends Language SyntaxIf you think about it, Shadow Coding is essentially interpreting one syntax and converting it to another. This can lead to some interesting use-cases. For example, if you find yourself writing the same set of boilerplate code in nearly every project, it may be prudent to "teach" the AI a specific "shadow syntax" that can consistently generate that boilerplate code for you. This way, you can extend the syntax of your target programming language and even add features that your language doesn't have. A good case-study for this is data classes in Dart. Dart, the programming language powering Flutter, very famously lacks data classes. And though the feature has been heavily requested since 2017, there hasn't been much progress made on that front. Shadow Coding to the rescue! 🎉 In this case, we can prompt the AI model to treat our shadow code in a certain way. Here's an example of such a "shadow syntax" that instructs the AI model to generate a Dart class that serves as an ORM for Firestore:
Here's what the AI generates: The above code was generated using Open AI's GPT-OSS 20B Model. Did you notice something? The AI didn't just generate something "close" to what we wanted - it generated EXACTLY the code we wanted. With shadow coding, you will find that your output code is often more consistent and deterministic than what vibe coding would have given you. Accepts Selective ContextThe only dedicated syntax in a shadow file is the The
By picking exactly what the model sees, you stop it from guessing or hallucinating based on unrelated files. It keeps the output sharp and doesn't waste tokens on code that doesn't matter.
Automatically Installs DependenciesIf the generated code makes use of dependencies that haven't been installed yet, Shadow Code goes the extra mile and installs those dependencies for you automatically. 🙂 Performance
ContributionsTechnically, Shadow Code supports any language via its Roadmap
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