How AI-assisted code suggestions will advance DevSecOps

What this post added

This post introduces AI-assisted code suggestions as a new capability within GitLab's DevSecOps platform. It details how ML techniques are used to assess code and provide recommendations for syntax, organization, and effectiveness. The post highlights benefits such as decreased errors, increased accuracy, a rise in productivity, improved collaboration, and faster rollout and iteration. It also outlines GitLab's competitive advantages in this area and lists critical jobs the feature aims to address, including code optimization, automatic bug detection and patching, smart debugging, continuous integration and deployment facilitation, predictive maintenance, programming in natural language, test case generation and automation, and smart code completion. The feature is currently in closed beta for select Ultimate customers.