Code Snippets AI
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About
Code Snippets AI is a comprehensive development tool designed to centralize code management while leveraging the power of artificial intelligence. It acts as a secure, team-oriented library where developers can store, search, and manage their most frequently used code blocks. Beyond simple storage, the platform integrates with various Large Language Models (LLMs) to help users generate new features, fix bugs, and add documentation. It bridges the gap between static code storage and active AI-assisted development by providing context-aware suggestions directly within the developer's workflow via desktop applications and IDE extensions. The tool functions through a combination of desktop applications for Mac and Windows, a dedicated VSCode extension, and a Chrome extension. A standout feature is its ability to perform local codebase indexing and vectorization. This allows the AI to understand the specific context of a user's project, leading to more accurate and relevant responses during chat interactions. Users can choose from a wide range of open-source and closed-source models, including GPT-4, Claude 2, and Mixtral, using their own API keys from providers like OpenAI or OpenRouter, or running models locally via Ollama. Code Snippets AI is particularly beneficial for software engineering teams and solo developers who find themselves rewriting the same logic or struggling with context-switching between the browser and their IDE. By indexing the entire codebase, it serves as a "second brain" that remembers how a project is structured, making it easier for new team members to onboard or for senior developers to maintain consistency across large projects. It supports a variety of tasks including refactoring legacy code, generating unit tests, and creating comprehensive documentation. What distinguishes this tool from standard AI assistants is its focus on snippet management and context integration. While many assistants focus on general chat, Code Snippets AI emphasizes the curation of a team's collective knowledge. It allows for multi-model chats within the same interface, enabling developers to compare outputs from different LLMs. Its "bring your own key" model for the basic tier and local model support via Ollama offer flexibility for those concerned about API costs or data privacy.
Pros & Cons
Supports both local LLMs via Ollama and cloud models via OpenRouter/OpenAI.
Provides deep contextual awareness through local codebase indexing and vectorization.
Offers multi-platform support including Windows, Mac, VSCode, and Chrome.
Allows teams to share and sync code snippets in real-time.
Enables switching between different AI models within the same chat session.
The free plan is limited to saving only five snippets in the library.
Requires users to provide their own API keys for AI functionality on the basic tier.
Local codebase indexing is restricted to the paid Pro and Enterprise plans.
Use Cases
Software engineering teams can create a centralized, AI-enhanced library of reusable components to ensure consistency and speed up onboarding.
Solo developers can reduce context-switching by using the VSCode extension to generate and refactor code without leaving their editor.
DevOps engineers can store and document complex shell scripts and configuration snippets for quick retrieval and AI-assisted debugging.
Web developers can use the Chrome extension to capture useful code patterns found online and save them directly to their team's library.
Platform
Task
Features
• chrome extension
• real-time updates
• local model support (ollama)
• ai snippet generation
• vscode extension
• team snippet library
• multi-llm chat interface
• local codebase indexing
FAQs
What makes Code Snippets AI different from other AI coding tools?
It features an enhanced chat interface that supports both open and closed-source LLMs like GPT-4 and Claude 2 simultaneously. It also uses codebase indexing and vectorization to provide deeper project-specific context.
Which AI models can I use with the platform?
The tool supports over 100 models, including OpenAI's GPT-4, Anthropic's Claude 2, and open-source models like Mixtral 8x7B or Capybara 7B. You can connect these via OpenRouter, OpenAI, or local Ollama instances.
Is there a free version available?
Yes, a Basic plan is available for free which allows you to use your own AI keys and save up to five snippets. It also includes access to the desktop applications for Mac and Windows.
Can the AI see my private code?
Contextual awareness is achieved through local codebase indexing and vectorization. The tool uses computed embeddings from providers like OpenAI or OpenRouter, but you retain control over your API keys and local data.
Pricing Plans
Pro
USD7.50 / per month (billed annually)• AI Chrome Extension
• Team member collaboration
• Local Codebase Indexing
• AI Snippet generation
• 14-Day Free Trial
• Email Support
Enterprise
USD12.50 / per month (billed annually)• Unlimited snippets
• Advanced security
• Unlimited user accounts
• 24/7 priority support
• Single Sign-On (SSO)
• Data Encryption
Basic
Free Plan• Bring your own AI key
• Online LLMs from OpenRouter
• Local LLMs from Ollama
• Save 5 snippets to library
• Free Desktop apps
Job Opportunities
There are currently no job postings for this AI tool.
Ratings & Reviews
No ratings available yet. Be the first to rate this tool!
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