Telemetry, control, site sync, and delivery to people have different physics. Here's how MQTT, Kafka, NATS, Zenoh, event mesh, and last-mile platforms map onto them.
Error Prone plugs into javac and fails the build on code that compiles but is almost certainly wrong. It often suggests the fix, too, and you can add your own checks.
Switching to a cheaper AI model can increase workflow costs. Learn how to revalidate outputs, track hidden costs, and maintain quality after model changes.
Vision-language models have moved from research breakthroughs like CLIP, Flamingo, and LLaVA to real-world enterprise use, made possible by cloud infrastructure.
Every tool call can pass review and the system can still do something nobody authorized. A path aware authorization model for agents that choose their own next step.
Put a Genkit flow inside a senro step, and every model call becomes a cached, retryable graph node: change one document out of three, pay for one call.
A hands-on walkthrough: 7 steps from a bare model behind an endpoint to an agent that reads your telemetry, reads your code, and files its findings as a GitHub issue.
Learn how a developer's intent moves through AI agents that plan, code, review, test, deploy, and monitor software, through the concept of software factory.