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.
Tech Xplore on MSN
Can AI build a machine that draws a heart? What automated mechanism design could mean for mechanical engineering
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 ...
OpenAI introduces Harness Engineering, an AI-driven methodology where Codex agents generate, test, and deploy a million-line ...
Recently launched in technical preview, GitHub Agentic Workflows introduce a way to automate complex, repetitive repository ...
Interesting Engineering on MSN
AI digital twins could cut nuclear build times in half, lower operating costs by 50%
The Idaho National Laboratory and NVIDIA have partnered to use artificial intelligence to accelerate ...
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 ...
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