Letting developers automate infrastructure based on app code, while using their preferred tools, can help companies scale at the speed of AI, said Nitric's CEO in this episode of TNS Makers.

Code review bottlenecks can be eased by automating code review with LLMs, Harjot Gill, founder of CodeRabbit, says in this episode of The New Stack Makers.

The discussion also covered how some of the existing cloud native technologies like Kubernetes and the tooling around them.

Learn about AI's latest evolutionary advancements — and what's ahead — from Kevin Laughridge of Deloitte in this episode of The New Stack Makers.

Aja Hammerly, Google's director of developer relations, explores the difference between DevEx AI and DevEx for AI in this episode of The New Stack Makers.

Google's Chelsie Czop talks about its Ironwood TPU, building hardware for models that are changing at an ever increasing speed and more.

Google's Bobby Allen chats with Frederic Lardinois about AI in the cloud during the Google Cloud Next conference.

Kubernetes adoption still lags, as AI emerges rapidly. VMware's Paul Turner tells how his company is meeting the challenges, in this episode of The New Stack Makers.

You probably don't need a GPU for AI workloads, and PyTorch is going to be a very big deal, said Andrew Wafaa of Arm in this episode of The New Stack Makers.

Cloud native apps and Kubernetes are dynamic, making it hard to contain resource costs. Yodar Shafrir of ScaleOps offers a solution in this episode of Makers.