NLSQL
NLSQL is a B2B Software-as-a-Service (SaaS) solution that enables businesses to make informed decisions using
Introduction:
Are you tired of spending hours on coding, trying to optimize your code and ensure its security? Imagine having an AI-powered coding assistant that understands the context of your software application, generates code tailored to your needs, and even helps you find potential bugs. Introducing Boxy, the revolutionary AI coding assistant developed by CodeSandbox. With Boxy, you can enhance your coding productivity, speed up your processes, and take your coding skills to the next level. Discover the power of optimized coding with better context and security.
Overview:
Boxy is an AI coding assistant tool developed by CodeSandbox, designed to improve the productivity and speed of coding processes. It operates as an intuitive coding companion in the CodeSandbox environment, leveraging access to the user’s entire codebase to understand the context of the software application.
Boxy is an AI-powered tool that provides features like contextually explaining, generating, and refactoring codes. It offers an AI playground to test its functionality, which is available to all Pro users of CodeSandbox. Boxy can help users optimize their codes, find potential bugs, and enhance security using the new chat DevTool.
These powerful contextual capabilities enable Boxy to provide features such as intuitive code refactoring and contextual code generation. Boxy can generate codes tailored to the specific context within CodeSandbox, minimizing manual work. Additionally, Boxy can suggest automatic, meaningful commit messages, simplifying workflow processes.
Boxy can also provide explanations and insights to help developers grow, making learning more accessible and developers successful. Access to Boxy’s AI features is optional and available to all Pro subscribers and can be opted-in manually. CodeSandbox has launched an AI Research Program that allows volunteers free access to AI’s features in exchange for continuous feedback to build the AI features.
Benefits:
- Improved productivity and speed of coding processes
- Contextually explains, generates, and refactors codes
- Offers an AI playground to test functionality
- Optimizes codes, finds potential bugs, and enhances security
- Provides explanations and insights to help developers grow
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