AI Code

自己想做个产品官网但是不会开发怎么办？教你 5 分钟用云开发AI编程助手生成一个官网，全程无需编码，写出你的需求即可生成页面，还支持收集表单信息，效果如下： 步骤 进入云开发平台 https://tcb.cloud.tencent.com/dev 选择「从AI创建官网」模块 输入产品介绍官网的需求，选择主色调，点击「生成」即可，以我们团队新产品「AI食记」小程序为例： 生成一个AI饮食记录智能助手…

CodeSquire.ai is an artificial intelligence coding assistant designed for data scientists. It generates entire functions based on your data science use cases. It supports multiple programming environments such as Jupyter, VS Code, Pycharm and Google Colab. It can help you solve any coding challenge from basic data analysis to more advanced AI tasks. You can convert comments to code, write functions using known libraries, convert language to SQL queries, interpret code, write complex functions by specifying multiple steps, write functions based on your code wind...

Cursor is an AI-assisted programming code generator tool that can help developers quickly write, edit and query code content. It supports multiple programming languages and file types and has powerful AI-assisted functions. Cursor is based on OpenAI's GPT-4 model and currently supports three major operating systems: Windows, MacOS and Linux. Cursor has a very good user experience and can generate high-quality code according to user needs, and even write stories and flowcharts. It can also optimize, refactor and understand code, making developers more efficient and easy...

Trag is an AI code review tool that helps engineering teams conduct code reviews faster and save senior engineers time. Trag makes the code review process more efficient by providing AI-reviewed code. Trag function detects bugs in advance: Trag can find potential bugs before code review, helping engineers solve problems before code review. Create custom rules: Users can create custom rules based on the needs of the team to meet different usage scenarios. Automatic repair: Trag can automatically fix problems in the code, and users can monitor the repair process.

Market research firm Gartner recently released a report that the proportion of enterprise software engineers using AI code assistants was less than 10% at the beginning of 2023, but it is estimated that it will reach 75% by 2028. Gartner surveyed 598 well-known companies around the world in the third quarter of 2023, and the results showed that 63% of companies are currently trying, deploying or have already deployed AI code assistants. In addition to generating and completing code according to programmers' requirements, AI code assistants also play the role of collaborative assistants, by stimulating brainstorming...