While it’s easier than ever to deploy automation, it’s much harder to ensure those early investments won’t hold a company back as it scales.
Deploy AI-managed automations from local runs to production using Trigger.dev monitoring and error handling to reduce workflow failures.
Can you design a mechanism that will trace out the shape of a heart? How about the shape of a moon, or a star? Mechanism ...
Build a production-ready design system with Figma Make and AI, including colors, typography, spacing, and components, to ship ...
Recently launched in technical preview, GitHub Agentic Workflows introduce a way to automate complex, repetitive repository ...
Next wave healthcare automation puts AI-driven workflow building in ops teams' hands, cutting IT dependency and operational costs.
After building an AI prototype in six hours, John Winsor turned it into a full platform in two weeks—showing how AI is ...
ENVIRONMENT: A cutting-edge AgriTech company seeks the technical expertise of a Senior Cloud DevOps Engineer to help manage the cloud infrastructure that powers its SaaS platform for the Agricultural ...
ENVIRONMENT: A cutting-edge AgriTech company seeks the technical expertise of a Senior Cloud DevOps Engineer to help manage the cloud infrastructure that powers its SaaS platform for the Agricultural ...