You just missed the hint

Imagine your project becomes the most popular on GitHub overnight.

Now you’re dealing with 1,000 PRs a day.

Welcome to the age of AI contributors.

Don’t panic — @kylepenfound.com has some thoughts on how to survive the feedback loop flood and level up your CI.

dagger.io/blog/evoluti...

🛠️ Expose your code as LLM’s Tools
🔍 Watch Agents use them via Dagger Cloud Traces
📈 Test their behavior with Evals as Code

The Evaluator module from Dagger makes it all work in CI

Read the blog → dagger.io/blog/evals-a...

AI Agents Need Help. Here's 4 Ways To Ship Software Reliably As Alex on the Dagger team likes to say: No matter the model or framework, you can’t outrun prompt engineering.

As Alex on the @dagger.io team likes to say: No matter the model or framework, you can’t outrun prompt engineering.

By Dagger Co-Founder & VP of Engineering @samalba.com

AI Agents Need Help. Here's 4 Ways To Ship Software Reliably As Alex on the Dagger team likes to say: No matter the model or framework, you can’t outrun prompt engineering.

As Alex on the @dagger.io team likes to say: No matter the model or framework, you can’t outrun prompt engineering.

By Dagger Co-Founder & VP of Engineering @samalba.com

Pas capté, c’est ton chat et c’est de l’AI?

Introducing container use for agents.

Go from babysitting one agent at a time to enabling many agents to work safely and independently with your preferred stack.

github.com/dagger/conta...

Best way to prepare for a #kubecon talk?

Partying in super good company🥳
(yes, I know, this would be worth the travel alone)

#dreams #drinks #containerhistory

Alright, everything's ready @dagger.io! Let my #kubecon begin 🦾

Don't forget to come say hi after my #interLink lightining talk (just before the Dagger hack night!)

l.infn.it/1du

Also, LLM support is shipping with Dagger 0.17, we'll share more of this soon!

GitHub - samalba/agents Contribute to samalba/agents development by creating an account on GitHub.

Check this out: this Pull Request (github.com/samalba/demo...) was written by a model—it scanned the repo, optimized the Dockerfile, and opened a PR on its own. Then another AI agent jumped in and reviewed the changes (the second comment). It’s open if you’re curious: github.com/samalba/agents.

GitHub - samalba/agents Contribute to samalba/agents development by creating an account on GitHub.

Hey there 👋 Just wanted to share a fun experiment I’ve been playing around with at Dagger. We hooked up our entire Container API to LLMs, and they’ve been doing some mind-blowing stuff... 🧵

Anyone tried Windsurf IDE for AI? I am hearing Cursor is now old school. I officially became an old man.

Just like we containerized webapps, we'll have to containerize AI agents... but how? What first principles led to containers in the first place, and how do they transpose to LLMs?

This was my first talk at an AI meetup, but I doubt it will be the last!

youtu.be/XWO_3My2eVU?...

We replaced our React frontend with Go + WebAssembly! Learn how: dagger.io/blog/replace...

GPUs in CI/CD are challenging—high costs, low utilization, and complex setups.

Dagger + @fly.io, Lambda Labs, and Ollama make it easy with on-demand GPU workflows, cost-saving caching, and seamless pipelines.

See it in action: dagger.io/blog/gpu-cha...

You can now run Dagger on GitHub Actions blazing-fast distributed caching—no self-hosted runners needed. A one-line change unlocks faster builds and seamless performance thanks to the new Dagger Powered program and our friends at Depot!

✨See how simple it is here: dagger.io/blog/dagger-...

My take away from the article is that an "agent" is a long-running workflow.

Sure, like containers, frameworks, testing libraries, etc... It's all software indeed. The term "agent" is confusing though, "AI workflow" is more accurate to my developer mind.

Sam Alba: from Docker to Dagger YouTube video by Barton George

I spent some time with @barton808.bsky.social at KubeCon going over my past at Docker, how we came across several technology and teams challenges, and how it became the foundation to build @dagger.io - If you're curious here is the full recording: www.youtube.com/watch?v=yHHa...

CI/CD workflows shouldn’t feel like a gamble. On the Platform Engineering Podcast, @shykes.bsky.social discusses:

•Tackling "push & pray" in pipelines
•Building modular, scalable workflows
•The evolution of DevOps & software factories

🎙️ Tune in: https://buff.ly/4gkPVZE

Dagger.io Powerful, programmable CI/CD engine that runs your pipelines in containers — pre-push on your local machine and/or post-push in CI

I've gone the dagger.io route for project specific tooling and generally containerized setups, for both building and as a containerized task engine

I really enjoyed my conversation w/ @samalba.com we cover a lot of ground - how Docker was the result of a pivot away from PaaS, the challenges of scaling startups, the importance of team culture
and finding the right VC, and how an rigorous discovery process led to Dagger and pipeline as a service

Haha! TIL I have a signature laugh! I love it 🤣

Sam Alba: from Docker to Dagger YouTube video by Barton George

I spent some time with @barton808.bsky.social at KubeCon going over my past at Docker, how we came across several technology and teams challenges, and how it became the foundation to build @dagger.io - If you're curious here is the full recording: www.youtube.com/watch?v=yHHa...

Tomorrow 9am PT, Noon ET, 6pm CET.

Want to see some GPU-magic with Dagger, Ollama and Fly? Tomorrow 9am, streamed on youtube, linkedin. And recorded in case you cannot attend live.

I strongly recommend watching the documentary “Buy Now!” on Netflix - very well made and very informative. It’ll make you think twice about buying the new iPhone or a pair of shoes.

A Go package for building Progressive Web Apps A package for building progressive web apps (PWA) with the Go programming language (Golang) and WebAssembly (Wasm). It uses a declarative syntax that allows creating and dealing with HTML elements onl...

We recently started to use go-app.dev at @dagger.io. The goal was to have more control on the performance and share more code with the rest of the Go codebase. And it seems to have solved the problem you mentioned at the same time.

Don’t get me wrong, meeting people at #KubeCon is cool, but also important: renew stickers on the laptop 💻