Dagger

Jeremy Adams and Kyle Penfound are joining Containers from the Couch with Carlos Santana to show how containers can drive more than deployments. They’ll walk through a live demo where a local dev change is shipped to an app running on Amazon EKS using Amazon Q Developer CLI, and using Container Use for isolated AI agents and Dagger for portable build and test workflows. 🗓️ July 22nd, 12:00pm PDT 🎥 https://lnkd.in/gSD225ii

🎙️ In episode 17 of Open Source Ready, Solomon Hykes of Dagger explores the future of application delivery. Listen in to hear how what started as a solution for CI/CD is now becoming a foundational operating system for AI agents, poised to make developers more productive than ever. 🎧 https://hubs.ly/Q03vHTbj0

Excited to see Márk Sági-Kazár take the stage at Cloud Native Munich next week! 🚀

We like the look of that decision tree in the comments section. 👀 Thanks for the mention Sid Palas!

Agentic CI is here, and devs are into it. “Awesome monitoring and tracing.” “Re-using the same CI functions with LLMs is so nice.” “That’s the beauty of Dagger, actually.” In our latest engineering deep dive, Jeremy Adams, Kyle Penfound, and Bret Fisher showed how to build agentic CI pipelines using tools you already use and how Dagger lets you reuse your existing functions for both CI and AI agents. If you’re curious how LLMs + CI can actually work together (without rewriting your whole stack), this one’s for you. Watch the full recording below 👇

What does the future of CI look like? For Kambui Nurse, it’s not just automation, it’s intelligence. In this in-depth demo, Kambui shows how he built an AI-powered CI pipeline using: ✅ Generative agents for self-correcting test generation ✅ GitHub PR automation with feedback loops ✅ Dagger for orchestrating every step ✅ Neo4j to give agents graph-based code understanding ✅ Agentic RAG to make the pipeline smarter, not just faster If you’re exploring AI + DevOps, this is a must-watch.

AI-generated code is blasting through your software delivery workflows like water from a firehose. And those CI/CD systems you've carefully built, held together by complex YAML and brittle scripts, are starting to crack under the pressure. Agentic CI introduces a new way forward—where intelligent agents bring reasoning and adaptability to your CI/CD pipelines. This session dives into what Agentic CI is, why it matters now, and how to make it work for you. What you’ll learn: Why traditional CI/CD is no longer enough in an AI-driven world How agent-based automation reduces toil and improves resilience How to build LLM-powered workflows into your software delivery, such as an agentic code reviewer.

Supercharge your CI with AI! 🚀 Join me as I walk through building an intelligent, autonomous workflow using Dagger. We'll cover: 🤖 Generating & validating tests in a self-correcting loop ✨ Smart pull request automation 🧠 Semantic code indexing with Neo4j Learn how graph-based RAG & tools like Pydantic, OpenRouter, and Supabase power AI agent workflows that understand code & improve over time. Watch now to rethink your CI workflows! https://lnkd.in/etwuW9bi #AI #CI #Dagger #DevOps #Neo4j #GenerativeAI #Automation Dagger

Do you feel like your CI/CD is letting you down? Is onboarding new team members a hassle? Are you constantly wasting time fixing your delivery pipeline? Join my presentation at KCD Warsaw to discover how Dagger might help solve these issues.

AI-generated code is overwhelming traditional CI/CD systems. Tomorrow, we’re hosting a virtual workshop to show how platform teams are using agentic workflows to stay ahead. What you’ll learn: • How to reduce fragility in your delivery pipelines • How to use LLMs for more meaningful code reviews • How to bring reasoning and adaptability into your CI/CD 🔗 Register: https://lnkd.in/g6Hy-Wpr