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April 9, 2023
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Jit Codes

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Inputs:
Text
Outputs:
Code
Transform text into code with AI
By unverified author Claim this AI

JIT.codes is an AI-powered tool that transforms text into code. Users are required to have an OpenAI API key to use the tool, which is stored locally on their browser and not sent to any external sources.

It allows users to generate code in HTML, CSS, and JS based on the text input. The tool claims to be free to use and provides users with the ability to create and explore code.

JIT.codes emphasizes the use of AI for code generation, highlighting the innovative use of machine learning in converting text to code. The website offers users the ability to provide feedback or report any bugs they encounter while using the tool through a feedback form or their Twitter page.Overall, JIT.codes offers a unique and interesting approach to generating code using AI.

This tool could be of great benefit to developers, designers, and anyone who needs to create code quickly and efficiently. However, without further information, it is difficult to determine the effectiveness and accuracy of the AI-generated code.

Nevertheless, JIT.codes could be a great addition to any developer's toolkit as they navigate the rapidly changing world of AI and code generation.

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Releases

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Pricing

Pricing model
Freemium
Paid options from
$19/month
Billing frequency
Monthly
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Reviews

3.7
Average from 7 ratings.
4
1
0
0
2
Comments(1)
Rated it
Its a really great code generator, it helped me with lots of codes for lots of programming languages, it gives short answers, explain the code and gives you versions of the code if asked

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Jit Codes was manually vetted by our editorial team and was first featured on April 9th 2023.

Pros and Cons

Pros

Generates code from text
Supports multiple languages
Encrypted API Key storage
Generates HTML, CSS, JS
Free to use
Feedback and bug reporting
Direct contact via Twitter
Online code generation
Offers code exploration
Local storage of keys
User-friendly interface

View 6 more pros

Cons

No external API integration
No offline mode
Limited to HTML, CSS, JS
Limited scalability for large projects
Support only via Twitter
Single user focused
Lacks detailed accuracy description
Browser-based, potential compatibility issues
Potential data security with local storage

View 4 more cons

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Q&A

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