I've seen a lot of people worried that AI will ruin their codebase, which it totally can, but its also entirely preventable with the same processes experienced teams have been following for decades. So I wrote about that dagger.io/blog/evolution…
Your CI/CD system wasn’t built for AI-generated code at scale, and now your team’s velocity is hitting a wall.
Join @jpadamspdx and @kylepenfound on July 15th with @BretFisher for a virtual workshop where we’ll explore:
•Why legacy CI/CD can't keep up with AI-generated code…
Are your CI workflows getting messy? YAML growing, scripts piling up, CI hard to maintain?
Define CI once in real code with Dagger—reuse it locally and in @github Actions.
In the video below, @kylepenfound shows how to:
- Trigger Dagger functions
- Reuse logic across dev + CI…
What is Agentic CI, and why do you need it now?
Join @kylepenfound, @jpadamspdx, and @BretFisher on July 15 for a live engineering deep dive.
Get the what, why, and how of AI-powered CI/CD. Register below!
What if your AI agent could test multiple ideas without touching your main branch?
@kylepenfound's demo shows how to prototype UI changes in parallel, each in its own isolated environment. Fast, clean, and agent-native.
Standing room only at the "Ship Agents that Ship: A Hands-On Workshop for SWE Agent Builders" at @aiDotEngineer by @kylepenfound and @jpadamspdx
If you missed out, check out our quickstart and join our Discord to ask questions!
3 days. 3 talks. 1 goal: AI agents that ship with confidence.
Catch Dagger at @aiDotEngineer World's Fair:
🛠️ June 3 – Workshop w/ @jpadamspdx & @kylepenfound
🤖 June 4 – @sam_alba on delivery trust
🗝️ June 5 – @solomonstre on containing chaos
Build AI agents into your software delivery workflows — with full control, observability, and portability.
LLMs are now a core building block in Dagger.
utm.guru/uijSi
Hot off the press: a new tutorial landed on iximiuz Labs!
> Learn how to test and release Helm charts with Dagger
Follow the hands-on guide and play with the tech right on the web page without leaving the browser. Learning by doing is the way 🚀
labs.iximiuz.com/tutorials/test…
If you're wondering what the heck AI agents are and why they might matter, start here! We kick it off with where they actually provide value (and where they don't) and go all the way to building a simple agent and showing off some agents I've built
If you're wondering what the heck AI agents are and why they might matter, start here! We kick it off with where they actually provide value (and where they don't) and go all the way to building a simple agent and showing off some agents I've built
Missed the Workshop on Building AI agents from scratch using Dagger?
Well I just reuploaded the stream as a video(Youtube algos :D)
People are loving the stream and I am sure you will like it once you watch it.
Solomon and Kyle are a treat to watch!
What is the next agent you…
Building @runmedev, we've dreamed of a Cloud-Native Shell—harness the powerful command line while effortlessly transcending any single machine.
That's @dagger_io Shell.
Express artifacts, builds, and AI agents "Code as Docs™️" style with Runme + Dagger: docs.runme.dev/guide/dagger
Building @runmedev, we've dreamed of a Cloud-Native Shell—harness the powerful command line while effortlessly transcending any single machine.
That's @dagger_io Shell.
Express artifacts, builds, and AI agents "Code as Docs™️" style with Runme + Dagger: docs.runme.dev/guide/dagger https://t.co/jVamXKBHKl
Introducing Dagger Shell: Unix philosophy meets modern infra. Familiar bash syntax with built-in containers, typed objects, and declarative workflows—all cached and sandboxed. No more juggling DSLs to ship software.
What if Bash stole the best ideas from Docker, Make and Nix?
Native support for containers and secrets; typed objects; declarative execution, sandboxed and cached by default... What if those were just standard shell features? 🤩
Well, we built it! Say hello to Dagger Shell. 🧵
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