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Magnet

Magnet is an AI coding assistant using OpenAI’s API to provide context-specific coding suggestions.
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Magnet

What is Magnet?

Magnet is an expert AI coding assistant that leverages OpenAI's API, including GPT-3.5 and GPT-4, to provide context-specific suggestions and recommendations in software development. It acts as a thought-partner and a supercharged coding assistant, offering features such as multi-file coding context, intelligent recommendations, and collaboration enhancements. It is available for free with a supported OpenAI API key, with premium plans offering extended features like unlimited GPT-4 assistant usage and integration with Linear, GitHub, and Notion at $20 per month. Magnet differentiates from IDEs by reimagining interfaces with AI capabilities and offers various features like issue integrations, change suggestions, and tool-based agentic coding. The tool works by integrating with developer tools, providing context-specific coding assistance, and enabling developers to select multiple relevant files for coding context.

Who created Magnet?

Magnet: Magnet was created by an organization providing AI coding assistance and was launched on June 18, 2024. The platform offers features like streamlining software development, context-specific suggestions, and employing GPT-3.5 and GPT-4 technologies. It aims to reshape interfaces with advanced AI capabilities for enhanced coding experiences.

What is Magnet used for?

  • Issues integrations
  • Relevant context suggestions
  • Change suggestions
  • Pull requests
  • Tool-based agentic coding
  • Local file access
  • Github integration
  • Linear integration
  • Notion integration
  • Bug fixing capabilities

How to use Magnet?

To use Magnet effectively, follow these steps:

  1. Obtain an OpenAI API key to access the powerful AI features of Magnet, including GPT-3.5 and GPT-4.
  2. Select and integrate the relevant developer tools such as Linear, GitHub, and Notion to enhance coding context.
  3. Choose multiple files or directories on your local machine to provide Magnet with the necessary coding context.
  4. Utilize Magnet's multi-threading capabilities to create and interact with multiple concurrent threads for collaborative problem-solving.
  5. Fix coding issues by connecting related Linear or GitHub issues to provide additional context for AI threads.
  6. Reference Notion specs to improve the accuracy and relevancy of AI recommendations within Magnet.
  7. Take advantage of prompt templates provided by Magnet to quickly identify areas of improvement, propose enhancements, and debug errors in your codebase.
  8. Consider upgrading to Magnet PRO for $20 per month to unlock unlimited GPT-4 assistant usage and additional integrations for Linear, GitHub, and Notion.
  9. Keep in mind that Magnet is not a standalone IDE but a tool designed to reimagine interfaces with AI capabilities, offering contextually intelligent recommendations and enhancing coding collaboration within product teams.
Pros
  • Streamlines software development
  • Context-specific suggestions
  • Uses GPT-3.5 and GPT-4
  • Providing multi-file coding context
  • Contextually intelligent recommendations
  • Issues integrations
  • Relevant context suggestions
  • Change suggestions
  • Pull requests
  • Tool-based agentic coding
  • Available for free
  • Paid upgraded features
  • Multi-threading capabilities
  • Local file access
  • Error-fixing function
Cons
  • No standalone IDE capability
  • Only GPT-3.5 and GPT-4 support
  • Limited to specific integrations
  • Concurrent threading could overload
  • Not available for offline work
  • $20/month for extended features
  • Reliant on external tool integrations
  • Local file access needed
  • No free unlimited GPT-4

Magnet Pricing and plans

Paid plans start at $20/month and include:

  • Unlimited GPT-4 assistant usage
  • Linear integration
  • GitHub integration
  • Notion integration
  • Bug fixing capabilities
  • Coding collaboration enhancement

Get started with Magnet

Magnet reviews

How would you rate Magnet?
What’s your thought?
Luca Rossi
Luca Rossi December 10, 2024

What do you like most about using Magnet?

I appreciate how Magnet can offer context-specific suggestions based on my code. It helps me remember syntax and provides relevant snippets that can speed up my workflow.

What do you dislike most about using Magnet?

The integration with my IDE wasn't as smooth as I expected, and I encountered bugs that disrupted my coding sessions. I also feel that the suggestions can sometimes be off-target.

What problems does Magnet help you solve, and how does this benefit you?

Magnet assists me in troubleshooting errors by suggesting potential fixes. This saves me time, though I wish the tool could be more reliable in its recommendations.

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Giulia Esposito
Giulia Esposito December 30, 2024

What do you like most about using Magnet?

The multi-file context feature is very useful, especially when working on larger projects. It allows me to get suggestions that consider the entire codebase rather than just a single file.

What do you dislike most about using Magnet?

Sometimes, the AI suggestions can be too generic, and I have to refine them significantly before they fit my needs.

What problems does Magnet help you solve, and how does this benefit you?

Magnet helps me overcome writer's block when coding. I often find myself stuck on how to implement a feature, and the tool’s suggestions give me a starting point to develop further.

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Marco Bianchi
Marco Bianchi November 30, 2024

What do you like most about using Magnet?

The idea of having an AI assistant is great, and I like that it uses advanced algorithms for coding suggestions.

What do you dislike most about using Magnet?

Unfortunately, it often feels like the suggestions are not very relevant, and I find myself ignoring them most of the time. It's frustrating when I need help but don't find it.

What problems does Magnet help you solve, and how does this benefit you?

It sometimes helps me identify potential bugs, but more often than not, I end up doing the problem-solving on my own. I expected more from an AI assistant.

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