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MyCoder: Command-line AI tool for automating code fixes, test case generation

General Introduction

MyCoder is an open source project developed by the drivecore team and hosted on GitHub, designed to provide developers with intelligent programming assistance through a command line interface. It is based on Anthropic (used form a nominal expression) Claude MyCoder is an API that integrates powerful AI capabilities to quickly fix code errors, generate test cases, write documentation, and even optimize the development process. Whether you're an individual developer or working in a team, MyCoder delivers significant efficiency gains through its modular tool architecture and parallel tasking capabilities. As an out-of-the-box tool for production environments, it supports the automation of a wide range of programming tasks, especially for projects that require rapid iteration and high-quality code. As of February 2025, its flexibility and utility are already gaining traction in the developer community.

MyCoder: Command Line AI Tool to Automatically Fix Code and Generate Test Cases-1


 

Function List

  • Code Bug Fixes: Automatically detects and fixes compilation errors to ensure that the code runs smoothly.
  • Unit Test Generation: Generate test cases for the specified code to improve test coverage to the target level (e.g. 80%).
  • Document Generation: Automatically generate JSDoc or architecture documentation for functions and update project description files.
  • API Caching System: Create a Redis-based caching mechanism to improve API responsiveness.
  • parallel task processing: Save time by executing multiple development tasks at the same time through the sub-agent mechanism.
  • Intelligent Log System: Provides graded, color logs for easy debugging and tracking of operations.
  • Project Initialization: Rapidly build applications such as NextJS or Node.js REST API services.
  • Capacity for self-modification: Support for modifying your own code to adapt to individual needs.

 

Using Help

Installation process

The installation of MyCoder is very simple, but requires some prerequisites and steps. Below is a detailed guide:

pre-conditions

  1. Node.js Environment: Make sure you have Node.js installed on your machine (recommended version 16 or above).
  2. npm package manager: Comes with Node.js and is used to install MyCoder globally.
  3. Anthropic API Key: You'll need to request an API key from the Anthropic website to drive MyCoder's AI features.

Installation steps

  1. Setting the API Key::
    • Add the key to the environment variable by running the following command in a terminal:
      export ANTHROPIC_API_KEY=[Your API key]
      
    • Alternatively, write it to .bashrc maybe .zshrc file to ensure that it is automatically loaded each time the terminal is started.
  2. Install MyCoder globally::
    • Open a terminal and type:
      npm install -g mycoder
      
    • After the installation is complete, run mycoder --version Check for success.
  3. Verify Installation::
    • importation mycoder -h Check the help information to confirm that the tool is working properly.

Usage

MyCoder supports multiple usage modes, and the following is a guide to how to use it:

1. Single-mission model

  • Fixing Code Errors::
    • Assuming there are compile errors in the project, run:
      mycoder "fix all build errors and ensure the tests pass"
      
    • MyCoder analyzes the project files, locates errors and tries to fix them while running tests to verify the results.
  • Generate new features::
    • For example, create a REST API service:
      mycoder "Create a REST API server using node.js that allows users to create, read, update, and delete notes, it uses a local SQLite database"
      
    • When finished, MyCoder generates the relevant code and database files in the current directory.

2. Modes of interaction

  • Initiate Interactive Mode::
    • Input:
      mycoder -i
      
    • Once inside, you can enter task instructions step by step and MyCoder will respond in real time.
  • sample operation (computing)::
    • importation add unit tests for src/utils → MyCoder generates the test file.
    • importation update README.md → MyCoder Rewrite project description.

3. Reading tasks from documents

  • Creating Task Files::
    • Create a new prompt.txt, write tasks such as:
      Add comprehensive tests using vitest and update JSDoc for all utility functions
      
    • Running:
      mycoder --promptFile=prompt.txt
      
    • MyCoder will perform the task according to the contents of the file.

Featured Functions Operation Procedure

Code Bug Fixes

  1. Make sure there are code files in the project folder (e.g. src/ (Catalog).
  2. (of a computer) run mycoder "fix all build errors"The
  3. MyCoder scans the file, identifies syntax or logic problems, and outputs the fixed code.
  4. Check the log (displayed in color) to confirm that the repair was successful.

Unit Test Generation

  1. Specify the destination directory or file, such as src/utilsThe
  2. (of a computer) run mycoder "Add unit tests for all untested functions in src/utils, aiming for 80% coverage"The
  3. MyCoder generates test files (e.g. utils.test.js) and run tests to verify coverage.
  4. View the results and repeat the optimization run if the standard is not met.

Document Generation

  1. (of a computer) run mycoder "Generate JSDoc for all exported functions and update docs/"The
  2. MyCoder analyzes code, generates comments and updates them docs/ directory of the API documentation.
  3. Check the generated README.md or other documents to ensure that the content is accurate.

caveat

  • safety: MyCoder can perform operations such as deleting files, installing software, etc. Confirm the task command before use to avoid misuse.
  • Log View: Run-time use of --debug Parameters turn on detailed logging for easy troubleshooting:
    mycoder "fix errors" --debug
  • Community Support: If you have problems, join MyCoder.ai's Discord community (https://discord.gg/5K6TYrHGHt) for help.

With these steps, you can quickly get started with MyCoder, which can dramatically improve development efficiency, whether it's fixing code or generating projects.

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