Question: Is there a software delivery platform that uses AI to identify vulnerabilities, prioritize fixes, and ensure code stability and integrity?

If you're looking for a full software delivery platform that uses AI to find vulnerabilities, prioritize fixes and ensure code stability and integrity, GitLab Duo is a good choice. GitLab combines development, security and operations to automate software delivery and protect the end-to-end software supply chain. It includes features like continuous integration and delivery, threat vector management and automated software deployment. It's designed to work with companies of all sizes, from personal projects to giant enterprises.

Another good option is Snyk, which is geared for developer security by finding and prioritizing security vulnerabilities in code, libraries, containers and infrastructure as code. It supports many languages and tools, with features like continuous vulnerability scanning and remediation advice. Snyk is designed to be developer friendly and scalable, so it's a good option for improving code security.

For a more all-encompassing software delivery approach, Harness automates and optimizes the entire life cycle. It uses AI for tasks like continuous integration, continuous delivery, feature flags and infrastructure management. Harness is designed to help developers get more work done and reduce manual intervention, so it can be a good option for a more secure and reliable software development process. It integrates with tools like GitHub, Bitbucket and GitLab, supporting multiple platforms and languages.

Last, SonarCloud is an online code review service that provides automated analysis and code quality checks. It integrates with cloud DevOps services like GitHub, Bitbucket and Azure DevOps, supporting more than 30 programming languages and frameworks. It includes advanced developer security tools, such as secrets detection and SAST, to help developers write secure code and avoid rollbacks. SonarCloud provides immediate feedback and in-context coding advice, making it a good option for improving software quality and security.