GPS

I'm convinced that deep work with agentic programming is simply not possible.

Flow state is, deep work (learning) is not.

Not sure what Jared was doing during that stretch, but vastly different than my timeline

GitHub Universe is typing...

Cooking up something fun for you to build ⌨️ Make sure you grab your in-person pass ⬇️
githubuniverse.com/?utm_source=Tw…

Introducing Microsoft-Decision-1, our new model for fast decision-making.

It delivers top performance on structured decision tasks, outperforming both LLMs and other decision models in latency and quality.

We’re already testing it across Microsoft for everything from incident response and quality control to scientific discovery.

Giving the people what they want. Yes, the new @Microsoft Surface Ultra laptop charger can be tugged out.

I’m in love with this sentence:

“You cannot be interested and inconsistent.”

btw this is all you need to get started in hardware

read...
read way more than you are right now
read all the time
read read read

you should be more ambitious
way more ambitious

Approvals are now retained for Stacked PRs after stack rebases ✅

Whether you use the "Rebase stack" button or partially merge a stack, as long as the diff doesn't change, PR approvals will be kept even if you have "dismiss stale approvals" turned on

Be so chalant! Nothing is embarrassing in the pursuit of human connection.

This Python Azure interview we did last year is still my favorite! Things have changed so much in a short period of time, but Python is still an amazing language ❤️

m.youtube.com/watch?v=cMRvgR…

As low-quality contributions increase across open source repositories, more contributors should have the tools to help manage repos.

Users with triage, write, maintain, or admin access can now archive PRs.

Read while the agents are working.

local ai, meet copilot cli 🦙

/model now picks up whatever's running in your ollama. i've got qwen3.6 and gemma4 sitting right next to the cloud models and i can switch to one mid-session without restarting

Absolutely love the fall vibes in my place.

my truthful answer is that i would never presume what the problems are. i have not seen the inside of github's architecture since 2019. i know they have good folks working there. i know that type of scale coming so quickly is very hard to react to when you run at the scale GiHub runs at. nothing is really that elastic, and orders of magnitudes more traffic showing up very quickly is hard to get in front of. I've worked at extreme scale before and seen companies spend three months just preparing for events that will increase their traffic by 10% or 20% percent, which is nothing compared to what GitHub's facing now.

Today marks a new chapter for Windows, as we bring unmetered intelligence to every desk and every home, and make every PC a place where agents can work securely on your behalf.

Some highlights of what we announced:

• MAI-Code-1.1 Flash: 137B parameter coding model w/ 256K context window, which is now optimized to run on your PC!

• GitHub Copilot now hands off work to local models like MAI-Code-1.1 Flash, helping projects cost a lot less without sacrificing quality.

• With Hybrid Intelligence, Copilot can now take action directly on the PC and keep sensitive work on your device.

• And with Code in Copilot, you can essentially build any software you need on your desktop, without any cloud token spend, and it’s just super at it. You’re no longer limited to what’s in an app store! Your PC becomes an infinite software factory.

• Security is foundational to all this, which is why we are also bringing together Windows and Agent 365 so agents can work within secure boundaries on-device, including MXC a local sandbox for agent execution. Windows becomes your secure agent box!

• All this comes to life on a new generation of devices, like Surface Laptop Ultra, powered by NVIDIA RTX Spark.

Can’t wait to see what you build with all this.

The busiest single repo on GitHub saw roughly a billion requests in ONE MONTH. Today, we shared how we’re rebuilding GitHub’s storage layer (without changing how you use GitHub) decoupling compute & storage so reads and writes scale independently.

Quicker pushes, pulls, and a platform that stays fast as more agents and developers code. We’re designing against some of the largest workloads on the platform so there’s headroom for everyone.

More below on how this works and excited to show you more at @GitHub Universe. 👇

2022 ➡️ 2026

Here's your sneak peek at this year's #GitHubUniverse programmable badge. Grab your in-person pass and secure a badge ⬇️
githubuniverse.com/?utm_source=Tw…