DevChat Visual Studio Code Extension

AI Workflows Generated with Natural Language

🪄 Without leaving the IDE, direct AI to perform tasks using natural language.

🧩 Bridge the last mile of AI productivity through knowledge engineering.

🛠️ Tailor the AI coding assistant to align perfectly with your specific needs.

👉 Install from from Visual Studio Marketplace and enjoy DevChat 👏

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While tools like GitHub Copilot, Cursor, and Cline are making coding increasingly intelligent, and platforms like Dify, Flowise, and Coze enable drag-and-drop workflows, we developers still find ourselves wading through vast AI-less seas daily, wearied by the myriad tedious processes in development.

While some complex customization demands of enterprises have turned tool adaptation into tar pits, hands-on enthusiasts are busily engaged in various personalized tasks. Every dev team has its own character and deserves tailored AI services, and implementing these shouldn’t be arduous.

We’ve built the DevChat open-source community to help every developer effortlessly cross the last mile of LLM productivity!

Core Features

❤️ Simplified Personalization: Create Custom Workflows with a Few Sentences

• Say goodbye to the rigid and learning-intensive “drag-and-drop” workflow frameworks. With just a few sentences, you can easily generate intelligent workflows that assist or handle various tasks for you — whether it’s submitting a standardized GitLab MR, generating API automated API test cases, or having the AI provide progress updates via voice notifications.
• Through the open-source community, we aim to build a rich collection of intelligent workflows, ranging from plugins that access rich IDE context to various autonomous agents, ensuring there’s always a “magical tool” that suits you.

❤️ Deep Understanding of Private Knowledge Through Knowledge Engineering

• Integrated knowledge graph capabilities support diverse semantic queries, combining static pre-construction before queries with dynamic construction during queries to balance optimal effectiveness and performance.
• Classify knowledge for specific scenarios to enhance AI generations.
  • For example, by analyzing all interfaces, parameters, and relationships in API documents, our AI autonomous testing tool can use multiple APIs to generate test cases, reducing exploratory steps and improving the quality of test scripts.

Quick Start

• Install Python 3.8 or later and ensure it's added to your system path. Verify the installation by opening the terminal and running python --version or python3 --version.
• Install Git and ensure it is added to your system path. Verify the installation by opening the terminal and running git --version.
• Install Visual Studio Code.
• Open the Extensions view (⇧⌘X), search for DevChat, and install the extension:

   

• Click on the DevChat icon in the status bar. If the API key is not set, DevChat will prompt you to enter it. Simply input your OpenAI's key (or DevChat's key).

   

• We recommend dragging the DevChat logo from the left sidebar to the right sidebar to avoid overlapping with the Explorer.

Chinese Instructions (DevChat is global!): 中文安装配置指南.

Community

• Join our Discord!
• Participate in discussions!

What is Prompt-Centric Software Development (PCSD)?

• The traditional code-centric paradigm is evolving. Stay ahead of the curve with DevChat.

• Write prompts to create code. Transform prompts into all the artifacts in software engineering.

  

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• We like to call it DevPromptOps

  

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Contributing

Issues and pull requests are welcome:

• https://github.com/devchat-ai/devchat/issues
• https://github.com/devchat-ai/devchat-vscode/pulls

Contact Information

Email: hello@devchat.ai

We are creators of Apache DevLake.