Sure, let your AI agents propose changes to image definitions, playbooks, or other artifacts. But never let them loose on production systems.
RamaLama makes it a snap to spin up AI models locally in containers and streamlines the path from experimentation to production.
Developers are tired of hearing about AI as a panacea. The backlash may be just what organizations need to effectively implement the technology.
For IT admins, engineers, and architects, language models will save time and frustration and increase confidence in troubleshooting, configuration, and many other tasks. Here are six ways they’ll make operations easier.
A relatively obscure desktop Linux project hints at a containerized OS future that makes perfect sense for enterprise computing.
The excitement and turmoil surrounding generative AI is not unlike the early days of open source, or the Wild West. We can resolve the uncertainty and confusion.
We know Wasm works well in the browser. Now it’s time to get excited about the possibilities for Wasm on the server side.
ChatGPT gives programmers (and doctors, teachers, researchers, etc.) superpowers to develop, communicate, and iterate on their ideas. Those who focus on testing its possibilities rather than its limits will have the early advantage.