(Optional) Select the output language for Docify AI generated docstrings and comments. To configure the custom docstring format, go to the extension settings page ( ⌘, on MacOS and Ctrl+, on Windows) For better results, we recommend selecting a programming language. Note: If auto-detect is selected, our system makes a guess of the programming language based on its syntax. Docify AI comment translator provides code-aware translations of existing comments between some of the most commonly spoken languages.
Docstrings are generated in JavaDoc, XML, JsDoc, EpyText, reST, Google, Doxygen or you can write your own custom formats.Docify AI supports 9 programming languages: C, C++, C#, Go, Java, JavaScript, PHP, Python, and Ruby with more added in the future.Docify AI gives developers maximum controls, including customizing how detailed the comments are, from succinct to descriptive.Unlike other tools built on OpenAI, our model is the result of our internal R&D progress on LLMs, giving us complete control and ensuring the privacy of our customer data. Docify AI documentation writer is powered by the #1 Code-To-Text AI model ranked by Microsoft CodeXGLUE benchmark.The first two features released are documentation writer and comment translator. Docify AI uses large language models (LLMs) to support coding tasks.They automatically generate C, C++ or C# code from higher level languages that are more intuitive and natural to engineers.Automated Code Comment and Documentation - Powered by the #1 Code-to-Text AI Model Code-to-Text AI assistant There is an alternative that many companies have chosen to turn to. Those that haven’t risk compromising the quality of their code or taking on the responsibility of training their engineers with a new skill set, which takes time and money. This is a skillset that is expensive to find among engineers and many companies have chosen to split the responsibilities into separate departments - the control system engineering and embedded software development. In order to write embedded code that is performant, however, engineers have to code their algorithms in lower level languages such as C, C++ and C#.
With a block diagram, an engineer can understand a system at a glance vs. Block diagram representations have a few key strengths including: 1) they indicate the signal flow path - thus are more informative, 2) they show how the system will be built in hardware, and 3) they are easier to code. Control theory has historically been taught to engineers using block diagrams.
0 kommentar(er)
