What Engineering Leaders Can Expect In 2024 |...

When an AI can write 90 percent of a codebase in minutes, why is finishing the project harder than ever? This week on the Friday Deploy, Ben and Andrew explore the recent string of GitHub outages and why the surge in autonomous agents is forcing teams to rethink where they host t ...  Show more

Every engineering team wants to build its own custom AI agent, but what if all your organization needs is a standardized skill or a stateless MCP server? This week on Dev Interrupted, Andrew sits down with AWS Senior Principal Engineer Clare Liguori to untangle the ecosystem of m ...  Show more

In this episode of Engineering Enablement, DX CTO Laura Tacho and CEO Abi Noda break down how to measure developer productivity in the age of AI using DX’s AI Measurement Framework. Drawing on research with industry leaders, vendors, and hundreds of organizations, they explain ho ...  Show more

Book your awesomecodereviews.com workshop!Episode Resources:MultitudesLauren's TwitterDeveloper experience research paperDORA metricsSPACE developer productivity frameworkAbout Lauren PeateLauren is the CEO and founder of Multitudes. Her goal is to empower engineering teams to be ...  Show more

Summary In this episode of the Data Engineering Podcast Gleb Mezhanskiy, CEO and co-founder of DataFold, talks about the intersection of AI and data engineering. He discusses the challenges and opportunities of integrating AI into data engineering, particularly using large langua ...  Show more

Is it really possible to measure the impact engineering teams have on a business' success? At a time when growth is challenging for many organizations and questions about productivity and effectiveness dominate industry conversations, getting it right is crucial. And although ...