In the fast-paced world of continuous integration and deployment (CI/CD), managing sensitive information like API keys, tokens, and credentials—collectively known as secrets—is not just a best practice; it's a critical foundation for security and efficiency. GitHub Actions provides a robust framework for automating workflows, but a common friction point for many development teams, particularly tho
The Challenge of Scalable Secrets Management in GitHub Actions For development teams scaling beyond a handful of repositories, managing environment-specific variables and secrets in GitHub Actions can quickly become a significant bottleneck. The manual duplication of configurations across multiple repos, especially when dealing with distinct environments like development, staging, and production
I got tired of the same three-step content publish loop: write draft → open CMS → paste, format, re-paste, fight the rich-text editor, click publish. Repeat for every environment — staging, then production. For one article, fine. For a team publishing 20+ pieces a month? That workflow is a quiet tax on everyone's time. So I wired up a pipeline that cuts the loop entirely. You commit a .md file to
Testing Firefox Extensions with Playwright: End-to-End Testing Guide Extension testing is one of those things everyone knows they should do but few actually do. I've been using Playwright for end-to-end tests on the Weather & Clock Dashboard extension and it's changed how I think about extension quality. Unit tests don't cover the biggest failure modes: Does the extension actually load in Firefo
Most teams I have worked with have one auth test in their suite. It looks like this: test('valid token verifies', () => { const token = signSync({ sub: 'user-1', aud: 'api://backend' }, secret); const result = verify(token, options); expect(result.valid).toBe(true); }); That test is fine. It is also a smoke test, not a regression suite. It catches the case where verification is completely b
Why I built another Ruby test runner inspired by Playwright Test Ruby already has great testing tools. If you are building Rails applications today, you probably use one of these combinations: RSpec + Capybara Minitest + Capybara Rails system tests Maybe Selenium, Cuprite, Ferrum, or Playwright through Ruby bindings These tools are mature, battle-tested, and widely used. So the natural question
I wanted to test my web app. That's it. A Next.js portfolio and a SaaS chat — run some accessibility checks, catch console errors, verify nothing's broken on mobile. The kind of thing you do before pushing to production. I opened Claude Code, connected Playwright MCP, typed "test the app" and watched it burn through tokens like there was no tomorrow. Then /compact fired at 18% text context. Then I