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If you've modernized a CI/CD pipeline in the last couple of years, you've heard the gospel of OpenID Connect: stop hardcoding long-lived AWS IAM keys in your repository secrets.
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Your laptop is about to stop being where work happens.
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When you take an agent out of your IDE and put it on a cron job or a GitHub event trigger, everything changes.
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Just like you use Copilot in VS Code or the Coding Agent from an issue, you can run those same agentic workflows triggered on GitHub events, inside Actions.
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Actions isn't just your CI/CD pipeline.
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The ROI bar for automation just hit the floor.
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Discussions around AI frequently revolve around this end goal of automation.
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So it's 12:51 on a Wednesday afternoon and I've got nothing in the fridge.
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I've been experimenting using AI coding agents in GitHub Actions to automate workflows, generate code, and enhance my development process.
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I love taking photos, but I don't love the hassle of hosting them myself.
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I'm always looking for ways to work more efficiently and deliver better code faster.
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I've created a comprehensive GitHub Actions cheat sheet inspired by the Learn X in Y Minutes format.
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I've migrated my portfolio from Angular to Docusaurus to focus more on content and less on maintenance.