Vivid
|
Tags
|
Pricing model
Upvote
0
Vivid is an AI-driven tool designed for browsers, aiding developers in swiftly and effortlessly editing and styling web applications. It utilizes code generation and styling capabilities to create components, update source code, and generate production-ready code in a matter of seconds. Additionally, it features enhanced inspect elements that enable users to comprehend and adjust components with a single click.
Similar neural networks:
Metabob is an AI-driven tool designed for code refactoring and debugging. It leverages proprietary graph neural networks to identify issues and employs large language models (LLMs) to explain and address them. Capable of detecting numerous logical issues, it supports AI Static Code Analysis, Software Security Scanning, Autofix and Refactoring, and Project Metrics. Valued by developers, it boasts a low false positive rate, security gate integration, secrets scanning, and more. Metabob can be deployed on-premises within an organization's private cloud, focusing on problems most pertinent to your team.
Bito AI serves as a versatile tool for developers, significantly boosting their coding efficiency. Utilizing the capabilities of ChatGPT, an advanced AI trained on extensive code and documentation, Bito AI aids developers in understanding concepts, generating code, verifying command syntax, creating test cases, explaining code, annotating methods, assessing security, and more. It supports integration with AppCode, GoLand, IntelliJ, PyCharm, PhpStorm, Rider, RubyMine, and WebStorm. Bito AI prioritizes user data privacy and security through data encryption, ensuring that code is never stored, viewed, or duplicated.
Factory AI is a professional software development platform that utilizes AI-driven "Droids" to automate and optimize the full engineering process—from generating and testing code to creating documentation and solving incidents. It integrates code, documentation, and tickets into one cohesive workspace, all while adhering to rigorous security and compliance standards (SOC 2, ISO 42001). Engineering teams select Factory AI to boost productivity, speed up development timelines, address incidents more swiftly, and realize tangible cost reductions, all while ensuring enterprise-grade data privacy and security that generic AI solutions often do not provide.