🤖 The Agent Era Begins

Hey everybody,

This week, we’re covering OpenAI’s new AgentKit for building no-code AI agents, GitHub’s take on how the developer role is evolving, JetBrains and Zed’s open protocol for AI coding agents, and Microsoft’s new Agent Framework for .NET and Python. Plus, a few standout reads on productivity, chiplets, and the changing patterns of AI-first work.

Let’s dive in!

Quick Links

⚙️ OpenAI Launches AgentKit: A No-Code Platform for Building AI Agents
OpenAI unveiled AgentKit, a new suite that lets developers visually build and deploy AI agents without heavy coding. It includes an Agent Builder, Connector Registry, and ChatKit for embedding agents into apps, marking a major step toward making agent development as simple as designing workflows. Watch the opening keynote with Sam Altman or work through the Zero to Production tutorial that The Neuron just put out.

🚀 Developer role is evolving — here's how to stay ahead
From GitHub’s blog: a look at how “boilerplate work” may be increasingly automated and what devs should double down on (design, review, system thinking).

🧩 JetBrains + Zed: open protocol for AI coding agents
JetBrains describes their collaboration with Zed on an Agent Client Protocol (ACP) to enable AI agents inside IDEs—potentially a big step in avoiding vendor lock-in.

🧠 Preventing developer burnout with AI + culture
An article on how engineering leads can shift from reactive firefighting to proactive support: workload automation, psychological safety, outcome metrics.

💡 10 Essential AI & Machine Learning Concepts for Developers in 2025
A primer on the top 10 AI and machine learning concepts every developer should know in 2025. From model parameters and quantization to RAG, inference, and guardrails, this guide breaks down the essentials for building AI-powered apps.

More Reading

• Casey Neistat with some strong opinions on the new Sora AI social app

• Codex is now generally available

• Inside the chiplet revolution: How Arm is democratizing AI infrastructure

• AI@Work: 3 new patterns of work define AI-first companies

• Microsoft Releases Agent Framework (Preview) for .NET and Python

Stop Wasting Time – A Simple Productivity System That Works

I want the time I spend working to actually count and I’m pretty sure you do as well.

So I've adapted a simple productivity system to multiply what I can get done every day.

In this video, I’ll share the 4 simple habits I use every day to triple my output. No fancy apps, no gimmicks; just a practical routine you can start today to boost focus, reduce context switching, and get MUCH more done in less time.

Until next week,

Travis.