Open-source Copilot alternative for VS Code

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November 5, 2024

Flexpilot

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4.3(10)6

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Open-source Copilot alternative for VS Code

Overview

Overview Releases Pricing Reviews Prompts Pros & Cons Q&A Alternatives Recommendations

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GitHub Copilot Alternative VS Code Flexible AI Integration Open Source AI-powered Development Interactive AI ConversationsFree

Most popular alternative: Programming Helper (856 saves)

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Flexpilot is an open-source, native alternative to GitHub Copilot for Visual Studio Code. It serves as a flexible AI-powered development tool, distinguishing itself by offering control to users to use their preferred AI providers and models directly in VS Code.

Beyond providing native integration, Flexpilot emphasises maximum flexibility and open-source freedom in its design. Users can install Flexpilot directly from the VS Code Marketplace and then configure their preferred language model providers.Flexpilot's core capabilities include AI-powered code completions that provide context-aware suggestions and natural language guidance.

The tool also features interactive AI conversations directly within the VSCode workspace to foster problem-solving without interruptions. This also extends to quick answers from the AI assistant that mitigate workflow breaks.

Flexpilot supports inline chat for tasks such as refactoring, debugging, and clarifying codes, as well as incorporating a voice chat feature that allows users to receive real-time code suggestions in spoken format, thereby facilitating hands-free coding.

Additionally, Flexpilot employs smart variables referencing elements from users' code and editor data for tailored assistance, generates commit messages, and grants transparency with token usage insights.

The tool supports several AI providers including but not limited to Anthropic, OpenAI, Azure OpenAI, Google Gemini, and Mistral AI.Flexpilot aims to foster a collaborative open-source community for continuous development and innovation.

Contributions to the project are welcomed in various areas, including bug reports, feature requests, documentation, and code contributions.

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Initial release

November 5, 2024

Initial release of Flexpilot.

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Pricing

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Coding Flexpilot

Coding

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Averi AI

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Pros and Cons

Pros

Open-source freedom

Native VS Code integration

Context-aware code suggestions

Inline chat for tasks

Voice chat for coding

Uses smart variables

Generates commit messages

Token usage transparency

Community-driven development

Allows code completions

Natively integrated

Automatic code completions

Inline chat functionality

Hands-free coding with voice

Smart referencing

Comprehensive API coverage

Enables problem-solving

Direct marketplace install

Maintains workflow continuity

Configurable language models

Workflow-oriented design

Allows code debugging

Offers code clarification

Real-time code suggestions

Tailored assistance

Supports refactoring tasks

Transparent usage and cost

Supports Google Gemini

Supports Groq, Ollama

Supports Anyscale, KoboldCpp

Supports text-gen-webui, FastChat

Dynamic chat titles

Allows for community contributions

Enhances innovation

View 29 more pros

Cons

Specific to Visual Studio Code

Potential token usage cost

Optimization may vary across providers

Greater configuration effort required

Lack of offline capabilities

Dependence on third-party keys

Requires user manual API management

Reliance on open-source community

View 3 more cons

Included in lists

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Q&A

What is Flexpilot?

Flexpilot is an open-source, native alternative to GitHub Copilot for Visual Studio Code. It serves as a flexible AI-powered development tool, and allows users to use their preferred AI providers and models directly in VS Code.

How is Flexpilot different from GitHub Copilot?

Flexpilot differentiates from GitHub Copilot through its emphasis on maximum flexibility and open-source freedom. Unlike GitHub Copilot, Flexpilot offers control to users to utilise their chosen AI providers and models directly in VS Code. Its design is aimed at providing native integration coupled with open-source freedom.

Can I use my preferred AI providers and models with Flexpilot?

Yes, Flexpilot lets users use their preferred AI providers and models. It supports several AI providers including, but not limited to, Anthropic, OpenAI, Azure OpenAI, Google Gemini, and Mistral AI.

How can Flexpilot be used directly in VS Code?

Flexpilot is integrated directly into VS Code and serves as an AI-powered development tool. Users can install Flexpilot from the VS Code Marketplace and then configure their preferred language model providers.

What are the core capabilities of Flexpilot?

The core capabilities of Flexpilot include AI-powered code completions that offer context-aware suggestions and natural language guidance. It also supports interactive AI conversations within the VSCode workspace, including quick answers from the AI assistant to avoid interrupting workflow. Moreover, it provides inline and voice chat for tasks such as refactoring and debugging, generates commit messages, provides transparency with token usage insights, and references smart variables from users' codes and editor data.

How does Flexpilot assist in AI-powered code completion?

Flexpilot assists with AI-powered code completion by providing context-aware suggestions and natural language guidance that are customised to the users' codes and editor data. This facilitates a more efficient and intuitive coding experience.

+ Show 14 more

What features does Flexpilot offer for interactive AI conversations?

Flexpilot facilitates interactive AI conversations directly within the VSCode workspace. This feature supports uninterrupted problem-solving by providing quick answers from the AI assistant. It also supports inline chat for tasks like refactoring, debugging, and code clarification, and incorporates a voice chat feature for real-time code suggestions in a hands-free mode.

How does Flexpilot support hands-free coding?

Flexpilot supports hands-free coding through its voice chat feature. This feature enables users to ask their AI assistant coding-related questions, and they receive real-time code suggestions in spoken format.

Can Flexpilot generate commit messages?

Yes, Flexpilot has a feature that generates commit messages. It utilises elements from the users' code and editor data to craft detailed and context-aware commit messages.

Does Flexpilot offer transparency with token usage insights?

Yes, Flexpilot provides token usage insights giving users transparency by tracking real-time token consumption across all AI interactions. This helps users manage their usage and costs more effectively.

What AI providers does Flexpilot support?

Flexpilot supports a wide range of AI providers including Anthropic, OpenAI, Azure OpenAI, Google Gemini, and Mistral AI. It's also compatible with others like Groq, Ollama, Anyscale, KoboldCpp, text-gen-webui, FastChat, LocalAI, llama-cpp-python, TensorRT-LLM, and vLLM.

How can Flexpilot foster a collaborative open-source community?

Flexpilot fosters a collaborative open-source community by welcoming contributions in various areas like bug reports, feature requests, documentation, and code contributions. Flexpilot is open-source under the GNU GPLv3 license, which promotes community-oriented development, transparent architecture, collaborative innovation, and continuous improvement.

How can I contribute to the development of Flexpilot?

Users can contribute to the development of Flexpilot in numerous ways. Bug reports, feature requests, enhancements in documentation, code contributions are all welcomed. Contribution guidelines can be checked on their GitHub repository.

What functionalities does Flexpilot’s inline chat offer for debugging and clarifying codes?

Flexpilot's inline chat feature enables users to refactor, debug, or gain instant clarity when coding. Whether users require error handling suggestions or code explanations, Flexpilot's inline chat allows users to make modifications directly in their editor without abandoning their workspace.

How does Flexpilot support workflow optimization?

Flexpilot supports workflow optimization through several functions such as AI-powered code completions that provide immediate context-aware suggestions and natural language guidance, interactive AI conversations to foster uninterrupted problem-solving, quick answers from the AI assistant to mitigate workflow breaks, and a voice chat feature that allows real-time, hands-free coding.

Can I install Flexpilot directly from the VS Code Marketplace?

Yes, Flexpilot can be installed directly from the VS Code Marketplace. Following installation, users can configure their preferred language model providers.

What's the advantage of incorporating a voice chat feature on Flexpilot?

The advantage of incorporating a voice chat feature on Flexpilot is that it allows real-time, hands-free coding. Users can ask their AI assistant coding-related questions in a vocal manner, and receive immediate code suggestions in spoken format without needing to type or manually read the responses.

How does the smart variables feature of Flexpilot work?

The smart variables feature in Flexpilot references elements from the users' code and editor data to provide more tailored and relevant assistance. This allows the AI to interact more intelligently with the users, providing precision in its responses and suggestions.

Can I configure my preferred language model providers using Flexpilot?

Yes, users can configure their preferred language model providers using Flexpilot. Following Flexpilot's installation from the VS Code Marketplace, the users can set up their chosen language model providers as per the instructions provided in Flexpilot's official documentation.

Can Flexpilot provide natural language guidance with AI-powered completions?

Yes, Flexpilot does provide natural language guidance with its AI-powered completions. It offers context-aware suggestions and natural language guidance tailored to users' code and editor data, resulting in a more intuitive and efficient coding experience.

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