Are AI coding tools actually making developers less productive? A new study from Meta’s AI research nonprofit, METR, claims that developers using AI were 19% slower, even though they believed they were 20% faster. In this episode of the AI Daily Brief, we break down the study’s design, explore criticisms from Emmett Shear and other AI leaders, and explain why this experiment may not reflect real-world AI coding performance. From model limitations to the steep learning curve of tools like Cursor, we explore how AI-assisted development isn’t just about faster typing, but rather a new way of working that requires time, practice, and workflow adjustments. Get Ad Free AI Daily Brief: https://patreon.com/AIDailyBriefBrought to you by:KPMG – Go to https://kpmg.com/ai to learn more about how KPMG can help you drive value with our AI solutions.Blitzy.com - Go to https://blitzy.com/ to build enterprise software in days, not months AGNTCY - The AGNTCY is an open-source collective dedicated to building the Internet of Agents, enabling AI agents to communicate and collaborate seamlessly across frameworks. Join a community of engineers focused on high-quality multi-agent software and support the initiative at agntcy.org Vanta - Simplify compliance - https://vanta.com/nlwPlumb - The automation platform for AI experts and consultants https://useplumb.com/The Agent Readiness Audit from Superintelligent - Go to https://besuper.ai/ to request your company's agent readiness score.The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614Subscribe to the newsletter: https://aidailybrief.beehiiv.com/Join our Discord: https://bit.ly/aibreakdownInterested in sponsoring the show?
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