AI Agents Are Your API's Biggest Consumer. Do They Care About Good Design?

<h2> From "Prove It in Code" to "Prove It in Judgment" </h2> <p>For decades, credibility in software came from what you built with your own hands. Writing robust systems required

<p>I was sitting in a demo from the head of architecture when the problem clicked into focus. He was showing how his team had moved everything out of Confluence and into Markdown

<p>Most developers spent 2023 and 2024 experimenting with AI-assisted code completion and chat interfaces. Those tools were useful—but they were also passive. You typed a prompt.

<p>I want to start with something that happened to a friend of mine who runs a mid-sized online store.<br /> He had a team of 6 people. Two handled customer support tickets. One

<p><em>This is a submission for the <a href="https://dev.to/challenges/google-gemma-2026-05-06">Gemma 4 Challenge: Write About Gemma 4</a></em></p> <h3> Why I Wrote This </h3>

<p>What three independent research groups concluded in early 2026 — and what it means for anyone building agent pipelines today</p> <p>In the first quarter of 2026, at least three

<p>The agent generates 40 lines of code. You read the diff. You approve the change.</p> <p>What just happened there? You didn't write code. You didn't design a flow. You didn't

<h1> Google Remy and Meta Hatch: The Technical Architecture Behind 24/7 Personal AI Agents </h1> <p>Two big AI agent stories broke this week that every developer building on top