Brett Reifers

It's never been easier to install plugins for skills, agents, and more. Directly from a GitHub repo or git URL.

/ftw

Folks often ask for a list of best practices partnering with agents in @code, and we've compiled a list here!

Agents, for real work. The latest @code release gives you better agent orchestration, extensibility, and continuity. Here's what's new: 🪝 Hooks support 🎯 Message steering and queueing 🌐 Agentic integrated browser 🧠 Shared memory And more...

"Summarizing conversation history" hates to see this setting enabled...

4% of GitHub public commits are being authored by Claude Code right now. At the current trajectory, we believe that Claude Code will be 20%+ of all daily commits by the end of 2026. While you blinked, AI consumed all of software development.

If you are using GitHub Copilot, folks you need to be watching: @pierceboggan @burkeholland @_Evan_Boyle @OrenMe @digitarald

It is hard to communicate how much programming has changed due to AI in the last 2 months: not gradually and over time in the "progress as usual" way, but specifically this last December. There are a number of asterisks but imo coding agents basically didn’t work before December and basically work since - the models have significantly higher quality, long-term coherence and tenacity and they can power through large and long tasks, well past enough that it is extremely disruptive to the default programming workflow. Just to give an example, over the weekend I was building a local video analysis dashboard for the cameras of my home so I wrote: “Here is the local IP and username/password of my DGX Spark. Log in, set up ssh keys, set up vLLM, download and bench Qwen3-VL, set up a server endpoint to inference videos, a basic web ui dashboard, test everything, set it up with systemd, record memory notes for yourself and write up a markdown report for me”. The agent went off for ~30 minutes, ran into multiple issues, researched solutions online, resolved them one by one, wrote the code, tested it, debugged it, set up the services, and came back with the report and it was just done. I didn’t touch anything. All of this could easily have been a weekend project just 3 months ago but today it’s something you kick off and forget about for 30 minutes. As a result, programming is becoming unrecognizable. You’re not typing computer code into an editor like the way things were since computers were invented, that era is over. You're spinning up AI agents, giving them tasks *in English* and managing and reviewing their work in parallel. The biggest prize is in figuring out how you can keep ascending the layers of abstraction to set up long-running orchestrator Claws with all of the right tools, memory and instructions that productively manage multiple parallel Code instances for you. The leverage achievable via top tier "agentic engineering" feels very high right now. It’s not perfect, it needs high-level direction, judgement, taste, oversight, iteration and hints and ideas. It works a lot better in some scenarios than others (e.g. especially for tasks that are well-specified and where you can verify/test functionality). The key is to build intuition to decompose the task just right to hand off the parts that work and help out around the edges. But imo, this is nowhere near "business as usual" time in software.

If you were not allowed to use the Copilot CLI at work because it wasn’t GA, now you can! From Windows, WSL, Linux and Mac. Choose your model and choose how you want to work with it. All with the same GitHub Copilot subscription.

@_Evan_Boyle Good

The Copilot CLI is now GA!

@eliasbchlny Autopilot and fleet are no longer experimental, in mainline!

@pierceboggan And attention

The only limit is your creativity.

@_Evan_Boyle @pierceboggan How am I going to break it to my /fleet of researchers that this might be their last run?

`/research` now available in the Copilot CLI Deep research across any OSS repo on the planet using GitHub's advanced code search tools, and MCPs for fetching repo contents dynamically. Produce reports, export to gists, and share them with your team.

New in @code Insiders: Explore and install plugins from the marketplace, powered by github/copilot-plugins and github/awesome-copilot.

@burkeholland Any hook recommendations to better manage 10+ agents-of-change at work? Currently building some RAI + MinBar pre‐ and post‐session hooks. Evaluating across sessions in parallel sounds necessary.

I am at present running ~10 agents. The secret is to just completely stop caring about the code. It's OK. You can let go now.

@burkeholland @pierceboggan @code 🤣

@BrettReif @pierceboggan @code You picked the wrong horse!

I’m about to go head to head with @pierceboggan in a vibe coding contest today. He’s super distracted so I removed all models but GPT 4.1 from his @code.

Copilot is powerful—but it gets dramatically better when you give it the right context. Here are 4 practical context-engineering techniques to improve Copilot’s accuracy 🧵👇

Sonnet 4.6 is now live in Claude Code. It's cheaper than Opus 4.6 and nears Opus-level intelligence, and devs in early testing often preferred it to Opus 4.5. Now the default for Pro and Team plans.