Google Cloud Next is nearly here, and today’s pre-event activities were hopping. I got to meet with our Google Developer Experts, have a handful of customer meetings, and spend time with my team.
[blog] Building Gemma 4 Local-Powered LLM Apps with Go and Yzma. Solid example of building an LLM app with Go and running the open Gemma model on a local machine.
[blog] most devs ignore git worktree. heres why they’re wrong. I’m sold. This is a short post, but it clearly explains the git worktree model and how to use it.
[blog] Agent Harness Engineering. Is it a model problem? Or is it a configuration problem with the harness? Lots of smart insights in this post.
[blog] Drop to Demo: Gemini CLI Subagents. If you’re truly going to get into agent-first engineering, then get familiar with coordinating a team of agents.
[article] GitHub pauses new Copilot sign-ups as agentic AI strains infrastructure. Why are so many AI services all-of-a-sudden dealing with capacity issues? This article makes the point that our interactions with AI have gotten longer and more sophisticated. That consumes a lot of compute!
[blog] How to fine-tune LLMs in 2026. Educational post. I’m not a machine learning engineer, but most of us could understand what this is all about.
[article] The engineer AI can’t replace. Just because we produce code faster, doesn’t mean we stop thinking about it. This post explores “taste” and the experience to know what good output looks like.
[blog] Building Event-Driven Data Agents with BigQuery, Pub/Sub, and ADK. I really liked how this whole solution came together in the post. The flow from real-time stream processing to agent-based investigation was smooth.
[article] What’s 🔥 in Enterprise IT/VC #494. Good edition this week. After finishing it, I was struck by how few things are “known” right now in IT. What’s the right pricing model for AI? Who are the builders? How to manage AI budgets? Which trend has staying power? Nobody knows. Just learn faster than others.
{article] GitHub Acknowledges Recent Outages, Cites Scaling Challenges and Architectural Weaknesses. Our industry depends a lot on a healthy GitHub. Here’s hoping that they’re successful in fixing their reliability issues.
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