A Tool To Help Fix SQL Code Using ChatGPT

Data | Points | Binary

Say hello to the newest addition to the world of artificial intelligence – ChatGPT! You may have heard of this innovative project before, but did you know that it can help you with your technical SQL questions? That’s right, with ChatGPT’s help, you can now make the most out of your SQL queries.

Introducing SQLize.online – an online SQL playground that has integrated ChatGPT as its virtual assistant. Integrating the chatbot into the platform’s API was a relatively easy task, but fine-tuning the chatbot’s responses was a different story. It took considerable time and effort to make sure the chatbot’s answers were accurate and easy to understand.

With ChatGPT’s help, you can now get answers to your technical SQL questions without ever leaving the SQL playground. Simply type in your question, and ChatGPT will do the rest.

SQL question answered by GPT

The AI assistant can even help you correct any mistakes in your SQL queries with just one click of a button! Take a look at the example below, which shows how ChatGPT can help you correct mistakes in your SQL code:

SQL error screenshot
GPT solution

ChatGPT is truly a game-changer when it comes to finding and fixing errors in your SQL code. Not only does it save you time and effort, but it also helps you become a better SQL developer by providing you with accurate and optimized solutions.

While ChatGPT is still a relatively new technology, it has already made a significant impact in the world of SQL. As with any new technology, there may still be some room for improvement, but we’re confident that ChatGPT will continue to evolve and improve over time.

Read More  Mastering AI Quality For Successful Adoption Of AI In Manufacturing

In conclusion, if you’re looking to optimize your SQL development process and become a more efficient developer, ChatGPT is the perfect tool for you. Try it out for yourself on SQLize.online and let us know what you think!

P.S. This article was also written by ChatGPT 🙂

Also published here.

By: Slava Rozhnev
Published at Hackernoon

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