Uses native API interfaces ⚡: Most VS Code extensions rely on webviews for their chat interfaces, which can create unnecessary overhead. Flexpilot takes a different approach by using native APIs. Think of it like using a native app versus a web app – the difference might seem subtle at first, but the improved performance and additional capabilities become apparent as you use it.As a developer, you’ve likely seen many IDEs offering AI capabilities – from standalone editors like Cursor, Void editor, and Zed, to extensions like GitHub Copilot, Continue.dev, and Qodo.
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Why Flexpilot IDE? ✨
https://ide.flexpilot.ai/?folder=web-fs://github/<repo-user>/<repo-name>/<branch>
Use it inside a browser instantly 🌐: For those of us who spend time exploring GitHub codebases, the default GitHub interface can feel limiting. While vscode.dev and github.dev offer better browsing experiences, they lack AI capabilities. Flexpilot fills this gap through ide.flexpilot.ai, providing a familiar IDE experience enhanced with AI features right in your browser.sudo dpkg -i linux-x64.deb
Looking to contribute? Visit GitHub repository and join the community in shaping the future of AI-native development.Forked from VS Code 🔱: If you’re comfortable with VS Code, you’ll feel right at home with Flexpilot. It maintains all the familiar VS Code features while adding seamless AI integration. This means you get the best of both worlds – a trusted development environment with enhanced AI capabilities.Happy coding! 🚀When you first launch Flexpilot, you’ll notice a chat panel on the right side of the screen with a GitHub sign-in option. This connection does more than just authentication – it personalizes your experience with your GitHub profile and automatically configures GitHub Models API access, giving you immediate access to AI features.
Use Flexpilot IDE in web browser 🌐
The panel chat sits conveniently on the right side of your screen. Select your preferred model, add context by referencing files or symbols, and start your AI-assisted coding journey.sudo apt-get install -f
While the browser version offers a streamlined experience, it operates as a minimal client-only version. Due to browser limitations, it can’t access nodejs or native APIs, but it handles code browsing and AI features remarkably well.GitHub Copilot Extension marketplace 🔌: The GitHub copilot extension marketplace is one of the largest growing Agentic Marketplace as of today. Flexpilot stands alongside VSCode (i.e., with GitHub copilot) as one of only two platforms that can tap into these extensions, opening up a world of specialized AI capabilities.
Step 1: Download and install
For Ubuntu users, the installation process is straightforward. Once you download the appropriate .deb package, Open terminal in your download directory and run:This extension ecosystem embodies the vision of collaborative AI agents working together to solve complex development challenges.Need to modify specific code sections? Select the code, press Ctrl+I, and describe your desired changes. The AI will suggest improvements while maintaining context.One of Flexpilot’s standout features is its browser accessibility. Similar to vscode.dev or github.dev, but with integrated AI capabilities, you can start using it immediately without installation. Try it by clicking here to browser Flexpilot IDE’s source code.sudo dpkg -i linux-arm64.deb
For those who enjoy predictive code completions, configure any OpenAI API compatible completion model providers through the command palette. Select Flexpilot: Configure the Language Model Provider and choose Edit Completions Config.
Step 2: Connect to GitHub
Working in the terminal? Press Ctrl+I while in the integrated terminal to get AI-powered command suggestions and explanations.
Step 3: Configure AI Model (Optional during initial setup) ⚡
If you enjoy tinkering with open source tools and experimenting with different approaches, Flexpilot IDE might be just what you’re looking for. 🔍
Step 4: Start chatting with your codebase using AI 💬
Mohankumar Ramachandran is a Gen AI enthusiast, turning caffeine into code. Creator of Flexpilot.ai and open source advocate who believes AI is not just hype – it’s the future.
Panel Chat
Flexpilot offers several ways to interact with AI throughout your development workflow:
Inline Chat
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Terminal Chat
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Additional Features
Bring your own AI Model 🤖: Most developers already have API keys for various LLM services. Today’s LLM providers offer generous free tiers – take Google Gemini or Azure OpenAI for instance. Instead of being locked into a specific subscription, Flexpilot lets you use these existing credentials and experiment with different models as you see fit.
Step 5: Configure completions
While GitHub Models API is pre-configured after sign-in, you might want to set up additional AI providers. Access the command palette with Ctrl+Shift+P, type Flexpilot: Configure the Language Model Provider, and customize your model settings according to your needs.
Extend AI capabilities with Copilot Extensions 🔌
For x64 systems:Flexpilot’s AI integration extends beyond chat interfaces. You’ll find AI assistance in code completions, multi-file edits, quick chat, symbol renaming, commit message generation, and more. Check out the official documentation for a complete feature list.
Conclusion
https://ide.flexpilot.ai/?folder=web-fs://github/flexpilot-ai/flexpilot-ide/main
Use Flexpilot IDE on Linux desktop 🐧 💻
Flexpilot’s extension system represents a significant step toward the future of AI development. Type @ in your chat to see installed agents and discover new ones through the marketplace. For instance, try the MongoDB extension – just start your questions with @mongodb for database-specific assistance.Here are my reasons for creating and using Flexpilot:
Author Info
Head over to flexpilot.ai to download the latest Desktop version. You’ll find builds for Windows, Mac, and Linux, with options for both x64 and ARM architectures.
