Go Code Enhancer

Go Code Enhancer helps improve existing Go code by suggesting practical changes and applying them where appropriate.

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The AI model that does the work. Stronger models cost more credits.

Add files · folder or .zip
Code, text and ZIP files are read in your browser and added to your input, free for everyone. Images and documents go to the AI model and need an account. To upload to the Agent mode sandbox, turn on Agent mode first.
Import from GitHub The AI clones the repository inside its Agent mode sandbox and works on it there — Agent mode turns on automatically. A token is only needed for private repos: it is placed in the ephemeral sandbox and never stored in our database. Still, use a temporary fine-grained token scoped to just that repository, and revoke it after. Optional
Private repo? Create a fine-grained token scoped to just that repo.
Lets the AI read current docs, APIs and the URLs you paste. Learn more
0 tokens
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Suggestions will appear here

Paste your code and press Get suggestions. Then pick one suggestion, or all of them, and the AI applies it.

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About this tool

Go Code Enhancer helps improve existing Go code by suggesting practical changes and applying them where appropriate. It can help refine structure, readability, performance, and maintainability while keeping the original intent of the code.

When to turn on Web Access and Agent Mode

These tools provide different kinds of context and verification. Enable them when they improve the task.

Web Access

Use for current docs

Enable Web Access when the task depends on current documentation, an external API, or a third-party package—especially a new, niche, or less familiar library.

For the best result

  • Paste the official documentation URL into your prompt.
  • Name the package and version you intend to use.
  • Ask the model to follow the linked API instead of relying on memory.
  • For multiple sources, say which source is authoritative.

Example: “Use version 4.x and follow the official documentation at https://docs.example.com/.”

Agent Mode

Use for automatic checks

Turn on Agent Mode when you want the model to run the code, execute tests, reproduce an error, or compare the result with an expected output.

Particularly useful for

  • Algorithms with testable inputs and outputs.
  • Parsing, data transformation, and numerical tasks.
  • Debugging a reproducible error.
  • Checking that dependencies install and tests pass.

Credit note: Running and iterating on code may consume more credits than a single response alone. Leave execution off when you only need a small snippet you can inspect yourself.

Browse public code generations for inspiration, or contact us if you have any questions.