Anon-Kode: command-line AI code assistant (Claude Code code decompilation)

General Introduction

Anon-Kode is an open source AI code assistant for terminal-based operations, launched on GitHub by developer Daniel Nakov. Designed for programmers, it helps users quickly fix code, run tests, interpret complex functions, and more by integrating a language model that supports OpenAI-style APIs. Whether you're dealing with messy "spaghetti code" or need to quickly understand what your code does, Anon-Kode provides efficient support. The tool is noted for its flexibility and usefulness for a wide range of programming projects, especially for developers who need to work efficiently in a terminal environment. Easy to install, flexible in configuration, and completely open source, users can choose the right AI model for their needs.

Anthropic Released at the same time as claude-3.7 last week claude-code This command line tool, as a result, they accidentally leaked the source mapping as well when they pushed the package. And it's actually quite easy to restore the source code using the source mapping. So someone has decompiled the claude code. Original decompiled file: https://github.com/dnakov/claude-code

Function List

• Code Fixes: Automatically detect and fix logic errors or syntax problems in your code.
• functional explanation: Enter a function or code snippet to get a detailed description of the function.
• test run: Support for running code tests, outputting results and providing suggestions for improvement.
• model compatibility: Adapts to any language model that supports an OpenAI-style API, and users are free to switch between them.
• terminal operation: Interacts via the command line, no graphical interface required, suitable for efficient development.
• Customized Configuration: Allows users to adjust tool settings to meet individual needs.

Using Help

Installation process

The installation and use of Anon-Kode is based on a Node.js environment, which is installed globally via the npm package manager. Here are the detailed steps:

1. Ensuring environmental preparedness

• Node.js: Make sure you have Node.js installed on your computer (the recommended version is LTS). You can download and install it from the Node.js website.
• npm: Node.js comes with npm, so you don't need to install it separately, but run it in the terminal. npm -v Check the version to make sure it's working properly.
• Git: If you need to clone your code or check for updates, we recommend installing Git, which is available on the Git website.

2. Install Anon-Kode globally

Open a terminal (CMD or PowerShell for Windows, default terminal for Mac/Linux) and enter the following command:

npm install -g anon-kode

Once the installation is complete, Anon-Kode will be globally available. Run the following command to verify the installation:

kode --version

If the version number is returned, the installation was successful.

3. Project initialization

Go to your programming project folder, for example:

cd /path/to/your-project

Then run:

kode

The first time you run it, the tool prompts for configuration and goes through the configuration steps.

4. Configuration tools

The first time you use it, you need to set up the API key and model:

• Run the following command to enter configuration mode:

  kode /config
  

• The system will ask for an API key (e.g., the key for OpenAI or another compatible model). You will need to obtain the key from the model provider, for example OpenAI's key can be generated in the OpenAI platform.
• After entering the key, select the default model (Claude, GPT, etc. are supported). Save the configuration when you are done and there is no need to repeat the setup in the future.

How to use

Anon-Kode is operated by terminal commands, and the following are the details of how to use the main functions:

Code Fixes

• procedure::
  1. Run it in the project directory:

     kode
     

  2. importation fix and press enter.
  3. Paste in the code snippet that needs to be fixed (e.g., a JavaScript function) and press Ctrl+D(Mac/Linux) or Ctrl+Z(Windows) End input.
  4. Anon-Kode analyzes the code, outputs the fixed version, and explains the changes.
• typical example::
  Enter the confusion code:

  function add(a,b {return a+b
  

  Output:

  function add(a, b) {
  return a + b; }
  }
  

  Explanation: Fixed syntax errors, added missing brackets and newlines.

functional explanation

• procedure::
  1. (of a computer) run kode Enter the tool.
  2. importation explainThe
  3. To paste a code snippet, such as a function, press the Ctrl+D maybe Ctrl+Z Submitted.
  4. Anon-Kode returns a detailed description.
• typical example::
  Input:

  def factorial(n).
  if n == 0.
  return 1
  else: return n * factorial(n-1).
  return n * factorial(n-1)
  

  Output:

  This is a recursive function that calculates the factorial of the input number n. It returns 1 when n=0 (the baseline condition for the factorial); otherwise it recursively calculates the factorial by multiplying n by n-1. For example, factorial(3) calculates 3 * 2 * 1 = 6.
  

test run

• procedure::
  1. Make sure you have test files in your project (e.g. use Jest or Mocha).
  2. Running:

     kode test
     

  3. Anon-Kode automatically recognizes test files, runs them and outputs the results.
  4. If the test fails, possible fixes are suggested.
• typical example::
  test file test.js::

  test('adds 1 + 2 to equal 3', () => {
  expect(1 + 2).toBe(3);
  });
  

  (of a computer) run kode testOutput:

  Test passed: adds 1 + 2 to equal 3
  

Switching Models

• procedure::
  1. Running:

     kode /config
     

  2. Enter a new API key or select another model.
  3. Save it to use the new model.

operating skill

• Quick Exit: Input exit or by Ctrl+C Exit Tool.
• View Help: Run kode --help Get a list of commands.
• debug mode: Run kode --debug View detailed logs for easy troubleshooting.

caveat

• network requirement: The tool relies on API calls to ensure a smooth network.
• key security: Do not share the API key publicly.
• performance optimization: Large projects are recommended to be used in modules to avoid processing too much code at once.

With the above steps, you can easily get started with Anon-Kode and enjoy an AI-driven programming assistance experience!