New Machine Learning technologies are very promising to write and debug software. This blog post goes into the details of these technologies and their impact on software development.
Write better code, faster.
Static Code Analysis helps you in your ISO2007 certification. In particular, static code analysis finds vulnerabilities and security issues in your code and helps you to fix them.
Technical Debt has an important cost in your software development. Because it slows down the overall development process, engineers take more time to release, maintain and operate software and makes the total cost of ownership more expensive.
Manual code reviews take hours and block engineers from shipping code. By automating code reviews, you unblock engineers and get unbiased feedback on code.
Software security is crucial and ensuring that your software does not have any vulnerability is very important. Nonetheless, securing your software development takes time.
Static Code Analysis is useful to detect many issues in your software. Benefits range from safety or vulnerability detection or optimization through bottlenecks identification.
Static Code Analysis for Python can prevent a lot of issues. From bad types to deprecated or insecure functions and libraries, using static code analysis for your Python code makes it more robust.
Software dependencies may introduce vulnerabilities. For this reason, it's important to maintain your dependencies and make sure they are always up to date.