Audience

This workshop is for:
- Python developers who want better control over their CI/CD workflows
- DevOps/SRE engineers working in polyglot or monorepo environments
- Engineering teams tired of CI YAML fatigue and Bash script burnout

Prerequisites

• Basic Python experience. No prior CI/CD or Dagger knowledge required.
• A laptop with IDE, Docker and the Dagger CLI installed.
• A GitHub account

What you will learn:

• Why Python is a great fit for modern CI pipeline development
• How to use Dagger's Python SDK to write, run, and test pipelines
• How to compose Python pipelines with other language modules (Go, TypeScript, etc.)
• How to refactor brittle CI scripts into clean, reusable Python components
• How to run Daggerized pipelines written in Python locally and in CI

Workshop agenda

Dagger Introduction (15 minutes)

• Review common challenges in CI today
• Explore how Dagger's design elegantly solves these challenges
• Understand Dagger’s role in modern, polyglot development environments and teams

Understand the Example Project (15 minutes)

• Clone an example application codebase from GitHub
• Examine the existing Dockerfile to understand the current build process
• Examine the existing GitHub Actions workflow to understand how the pipeline works in CI

Dagger CLI and Dagger Cloud (10 minutes)

• Explore the Dagger CLI, your primary interface to Dagger in this workshop
• Understand Dagger Cloud

Create a Simple Dagger Module (20 minutes)

• Create a Dagger module for a basic task.
• Understand module structure and how to use it
• Run a Dagger function and trace it using the terminal and Dagger Cloud

Daggerize the Pipeline! (40 minutes)

• Daggerize! Convert the Dockerfile to a Dagger pipeline

Run the Dagger Pipeline Locally (10 minutes)

• Run the Dagger pipeline locally and trace its execution
• Run it again to see Dagger caching in action
• Understand how caching in Dagger speeds up subsequent builds

Transfer and run the Dagger Pipeline in CI (20 minutes)

• Modify the GitHub Actions workflow to use the Dagger pipeline
• Run the pipeline in the GitHub Actions CI environment
• Understand how Dagger eliminates vendor lock-in and CI switching costs

Add AI to the Mix (30 minutes)

• Examine Dagger's AI bindings
• See an example of integrating AI to analyse pipeline failures

Summary and Q&A (15 minutes)

• Recap of Dagger's key features and benefits for CI/CD
• Q&A

Key takeaways:

After this workshop, attendees will be able to:
- Write modern, reproducible and portable CI workflows in Python
- Replace static YAML with testable, version-controlled code
- Collaborate more effectively with teams using different stacks
- Use Dagger to future-proof their CI strategy

Useful links

• Dagger
• Dagger Discord