AI has made self-driving cars possible, so what about self-writing code? We asked 14 DevOps practitioners, industry analysts and execs to share their take on how AI will impact software development.
Find and fix security bugs faster by implementing developer-centric application security testing in the CI pipeline. And the bonus? Engineering and security will finally be better aligned.
Using GitLab's fuzz testing, we discovered and fixed various real defects that could crash our software. Now we can detect vulnerabilities before merging the code.
VP of product strategy Mark Pundsack shares everything you need to know about Auto DevOps.
If you’re not using automated testing, your competitors almost certainly are – catch up on our recent webcast to get started.
Learn how we used the AI-driven DevSecOps platform to generate automated tests and improve our development speed and quality.
Find out how the GitLab team addressed more complex testing situations using GitLab Duo's AI capabilities, including ensuring that code testing followed standards.
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