Bringing Seqera AI to the Nextflow VS Code extension
We are excited to announce a powerful new GitHub Copilot integration within the Nextflow VS Code extension. This integration brings Seqera AI directly into your IDE—allowing you to generate, edit, and troubleshoot DSL2-compliant Nextflow code using natural language. Workflow development has never been faster or more intuitive. Check out some use cases below!
Video 1. Seqera AI features are now available in the Nextflow VS Code extension
💡 Install the Nextflow VS Code extension and type @Seqera to get started.
1. Write Nextflow pipelines
Developing Nextflow pipelines is now more streamlined with AI support built into the VS Code extension. You can ask Copilot to generate complete, DSL2-compliant workflows in seconds—for example:“@Seqera, can you write me an RNASeq pipeline?”. The model returns modular, readable code with clearly defined processes that follow Nextflow best practices.
You can also generate configuration and schema files based on your pipelines. For example: “@Seqera, can you generate a nextflow.config
file?”. This intelligent, in-editor experience accelerates development and supports both new and advanced users in building robust, reproducible pipelines with greater efficiency and confidence.
Video 2. Get started quickly with GitHub Copilot in the Nextflow VS Code extension
2. Investigate Nextflow logs
Nextflow logs are essential for gaining insight into pipeline execution and for effectively diagnosing and resolving issues. With the new GitHub Copilot integration you can chat with your logs using Seqera AI, right inside your IDE. Just attach your terminal output and ask your question: “@Seqera can you please explain what happened in this log?”. Copilot will analyze the output and return clear, actionable insights. This helps you understand failures faster, troubleshoot more efficiently, and stay focused on building better pipelines—all without leaving VS Code.
Video 3. Investigate logs using Seqera AI in the Nextflow VS Code extension
3. Generate nf-test scripts
Using the nf-test stored action in Copilot, you can quickly generate test scripts for your pipelines based on simple command syntax. The AI model checks whether a test environment is already set up, and if so, automatically starts creating the appropriate nf-test structure. It not only writes the test but also includes guidance on how to run it. This feature simplifies testing workflows, helping you ensure reliability and reproducibility with minimal manual effort.
Video 4. Writing nf-test using GitHub Copilot in the Nextflow VS Code Extension
Try it now
Whether you’re building new pipelines, debugging logs, or writing tests, Seqera AI in the Nextflow VS Code extension helps you move faster—with smarter, context-aware assistance at every step.
- Generate code as DSL2 as the default in your pipelines
- Use built-in actions to write nf-tests and help convert legacy workflows to DSL2
- Ask follow up questions and get comprehensive answers
💡 Install the Nextflow VS Code extension now.