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Docker AI Helps Developers With Context-Specific, Automated Guidance


At its annual global developer conference, DockerCon, Docker announced its first AI-powered product, boosting developer productivity by tapping into the universe of Docker developer wisdom to provide context-specific, automated guidance to developers as they work.

The introduction of Docker AI was among a range of new AI/ML capabilities, content, and partnerships announced by Docker with the aim of helping developers quickly and securely take advantage of the power of AI/ML in their applications. In adding these extensions to the current Docker suite of developer tools, content, and services, Docker “meets developers where they are” and boosts the productivity of their existing skills and workflows.

“Code generation AIs are boosting developer productivity when writing source code — and that’s fantastic,” said Docker CEO Scott Johnston. “In addition to the source code, applications are made up of web servers, language runtimes, databases, message queues, and many other technologies. Docker AI helps developers define and troubleshoot all aspects of the app quickly and securely as they iterate in their ‘inner loop.’”

Docker AI provides context-specific, automated guidance to developers when they are editing a Dockerfile or Docker Compose file, debugging their local ‘docker build,’ or running a test locally.

Docker AI is now available for early access.