Trae AI
|
Tags
|
Pricing model
Upvote
0
Trae AI is a dynamic AI-driven Integrated Development Environment (IDE) designed to optimize software creation. It includes functionalities such as automatic task division, code evaluation and generation, along with live support via Builder and Chat modes. Developers of various skill levels can utilize Trae AI to enhance efficiency, automate processes, and utilize sophisticated AI features within their projects. The platform is currently free of charge, accommodates several programming languages, and seamlessly integrates with well-known development environments, presenting a compelling choice for anyone aiming to simplify their coding workflow and boost productivity.
Similar neural networks:
Appaca Licode is a no-code platform for creating AI-driven applications using LLMs and automated workflows. It allows users to develop personalized AI products without the need for developers, by utilizing a collection of UI components, adaptable workflows, and built-in AI infrastructure. The platform offers API integration, authentication support, and a built-in database for user data management. Appaca features a monetization system with Stripe integration, enabling creators to charge users based on AI utilization. Through automated processes and a user-friendly interface, Appaca allows businesses to efficiently develop, deploy, and manage AI applications while simultaneously managing user accounts and data storage.
UBOS is a cloud platform with low-code/no-code capabilities that allows users to efficiently create AI-driven applications, administration panels, dashboards, chatbots, and integrations. It offers various tools including Node-Red Flow Builder, Appsmith UI Builder, Baserow No-code Database Tool, NocoDB, and UBOS Micro Apps AI Creator, in addition to pre-made components and templates. The platform also provides a unified workspace for tool and service management and is compatible with widely-used databases like MySQL, Postgres, and MongoDB.
Panto AI is an AI-powered code review tool designed to automatically examine pull requests, offering real-time, detailed feedback on code quality, logical flaws, and security issues across over 30 programming languages. By integrating Panto AI, engineering teams can enhance their development process, lessen the time spent on manual reviews, adhere to security guidelines, and boost overall code quality. This enables developers to concentrate on tackling complex challenges, while the AI assistant manages routine code inspections and delivers actionable recommendations that support business goals.