SnippetHub vs Kel: Which is better?

SnippetHub is an AI-powered tool integrated into VS Code designed for developers to streamline, expedite, and enhance their coding experience. The tool provides several AI features for code optimization and management. One of the primary features, 'AI Test Storm', empowers developers to quickly generate unit tests leveraging top AI models. This helps in saving considerable time and improving code quality. It also offers an 'AI Lens' feature that allows developers to get on-spot results by defining custom instructions. Additionally, an AI chat feature is accessible directly within the VS Code. This feature facilitates an AI-assisted dialogue in the context of the selected code, providing smart insights and helping in faster resolution of coding challenges. SnippetHub also aids in effective code snippets management through IntelliSense smart suggestions integrated right in VS Code. The tool supports over 30 of the most popular programming languages. A note-worthy benefit of SnippetHub is its potential to significantly enhance the return on investment by reducing the time spent on unit test writing.

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Kel

Kel is an AI-based assistant embedded in your Command Line Interface (CLI). It is designed to augment productivity by automating repetitive tasks and enhancing the overall efficiency of your CLI. Kel is equipped with multiple Languages for Learning Machines (LLMs) support including OpenAI, Anthropic, and Ollama, whilst also supporting OpenAI Assistants. It further allows users to engage in unique interactions such as 'chatting' with their artifacts by uploading their files to the assistant. Developers can personalize their assistant using their own API keys for OpenAI or Anthropic, a feature that might soon extend to other LLMs.

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Key features

SnippetHubNo data

Kel

AI capabilities integrated into the CLI for automating tasks and enhancing productivity.
Supports multiple LLMs including OpenAI, Anthropic, and Ollama, with the ability to bring your own API key.
Allows users to upload files and interact with their artifacts through a chat interface.
Free and open-source, enabling community contributions on GitHub.
Configuration through a `config.toml` file for personal settings and LLM selection.

Useful for

SnippetHubNo data

Kel

Automates repetitive tasks, enhancing productivity and efficiency in the command line interface (CLI).
Supports multiple large language models (LLMs), allowing users to choose the best fit for their needs.
Enables users to upload files and interact with their artifacts through a chat interface, facilitating easier data analysis and insights.
Allows integration of personal API keys for customized usage, providing flexibility in accessing different LLMs.
Free and open source, encouraging community contributions and collaboration on GitHub.

Use cases

SnippetHubNo data

Kel

Automate repetitive tasks in the command line interface (CLI) using AI capabilities.
Interact with various large language models (LLMs) such as OpenAI, Anthropic, and Ollama for diverse functionalities.
Upload files to the assistant and engage in conversations to extract insights or analyze content.
Configure and use personal API keys for customized interactions with LLMs.
Utilize the OpenAI assistant to analyze documents and obtain insights directly from the CLI.

Price

SnippetHubFree

Kel

The application is free and open source.
Users can bring their own API keys for OpenAI and Anthropic.
Other LLM support is coming soon.
There is an option to contact for a support plan.