AI technology is affecting the software development industry in yet another interesting way. We mean the recent software solutions that employ machine learning algorithms to enhance the developers’ workflow. In this article, we will mention five of them. Two of them are still in testing mode while the remaining three are already available on the market. If you are a developer who needs to figure out how to use AI quicker and more effectively in software development, you can follow these solutions.
DeepCode is one of the successful machine learning tools for software development. Its main purpose is to test code and highlight parts that could be vulnerable to security breaches. Much like some of other tools we mention further, DeepCode checks code from public storage places to identify similarities. Additionally, this tool makes use of the patterns to find vulnerable areas.
Kite acts as a code completer. With the help of machine learning, it easily identifies the code you are inputting in real-time and builds it as you type. Regularly listed as one of the most useful tools for developers, it works well with many modern code editing solutions.
Kite uses an effective model taken from GitHub. GitHub code, which is convenient to all, is used to produce an abstract that acts as the backbone of the Kite model. As before-mentioned, the tool can propose and even complete code automatically, based on both connection and purpose instead of just the text itself.
This tool, produced by Microsoft, helps to generate code with the use of examples. PROSE stands for “program synthesis using examples” and can be leveraged to generate other programming tools, as opposed to implementing it directly as a predictive solution. Amongst the ways that a developer can use PROSE is file manipulation through example, a text conversion through example, and extracting data from a text file.
This tool is pretty much like a Kite in that it uses machine learning to create computerized code completions. Furthermore, it uses a type formed from the syntax tree that is acquired from publicly accessible code. Though, it seems to have some exceptions.
Codota is created for Kotlin and Java languages. It is a cloud-based solution that produces smart auto predictions. It is worth noting that Codota owners affirmed that user info is not transmitted to their servers. Just the limited encrypted data from the edited text is transmitted as it is required to predict code in line with the field and context.
Pix2code is currently in the experimentation phase, though it is an innovative tool that can turn a graphic user interface screenshot into computer code. By employing deep learning methods, this software can analyze GUI in three various formats: Android, iOS, and HTML/CSS. But considering this tool is still in the testing stage, you can only use it for learning or as a basis for additional software development.
Thursday, January 9, 2020