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April 18, 2025: AI Coding Digest

ai coding digest

In this article

AI Coding Reading List

As the AI tooling landscape continues to evolve at breakneck speed, one thing is clear: developers, startups, and enterprise teams are navigating a dynamic mix of innovation, fragmentation, and growing pains.

In this week’s edition of the AI Coding Digest we’re diving into what this rapid evolution means in practice – from Google Cloud’s startup-focused AI insights, to the very real problem of LLMs hallucinating software dependencies.

We also look at Copilot’s steady rise amid the chaos, Google’s new standard for AI interoperability, and Andrew Ng’s call to stay grounded amid the hype. Plus the AI Daily Brief covers agent adoption and seven common mistakes to avoid.

Here’s what we’re reading this week:

🎧AI Daily Brief: The 7 Biggest Mistakes Companies Are Making with AI and Agent Adoption
With Nathaniel Whittemore and Nufar Gaspar

According to Jellyfish’s Head of Research, Nicholas Acrolano, the AI Daily Brief podcast has quickly become the go-to source for many for daily AI news and updates. And in this recent episode, Arcolano claims he “felt very seen” because nearly all of the seven mistakes outlined in this episode are all too relatable.

Copilot’s Quiet Comeback
By Patrick Debois

According to Jellyfish advisor Adam Ferrari, “I’ve spoken to multiple VPEs who have decided to bet on Copilot and let Microsoft figure it out. At worst,” he adds, “it means you’ll be a quarter or two behind the cutting edge, but you also won’t be constantly churning your tools.”

LLMs can’t stop making up software dependencies and sabotaging everything
By Thomas Claburn

“This is an interesting and very valid concern,” says Adam Ferrari, “but one that’s certainly addressable in the long term, but it’s a real issue now.” Still we’re curious to know how common these hallucinations are with current models, though they might slow down the “full-on vibe coders.”

Also this week:

Introducing GPT-4.1 in the API
By Ananya Kumar, Jiahui Yu, John Hallman and Michelle Pokrass

AI 2027
By Daniel Kokotajlo, Scott Alexander, Thomas Larsen, Eli Lifland, Romeo Dean

Future of AI: Perspectives for Startups 2025
By Google Cloud

Google to embrace Anthropic’s standard for connecting AI models to data
By Kyle Wiggers

Google’s Agent2Agent Protocol Helps AI Agents Talk to Each Other
By Frederic Lardinois

Andrew Ng warns AI hype is distorting its true value
By Ron Miller

Something we missed? Find us on LinkedIn to let us know! See you next week.

About the author

Gail Axelrod

Gail is Senior Content Marketing Director at Jellyfish.