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1.1: History and Motivation

The Evolution of Continuous Integration

Modern CI/CD tooling did not appear overnight. It emerged from decades of iteration on how software is written, tested, and delivered. Understanding that history will help you appreciate where GitHub Actions fits and why its design choices matter.

From Punch Cards to Instant Deployments

  • Punch card era (1960s–70s): In the earliest days of computing, teams authored programs by physically punching holes into cards and feeding them into mainframes. The people who wrote the software were usually the same people consuming it, and iterations were painfully slow because producing cards was so labor intensive.
  • Physical media distribution (1980s-90s): Eventually programs shipped on floppy disks, CDs, and DVDs. These could be produced digitally, but you still had to mail updates to end users, so release cycles typically took months and every update carried real shipping costs.
  • Web delivery changes everything (2000s): With the rise of the web in the early 2000s, you could deploy updates instantly by pushing a new version of your site or web app. Faster delivery meant you also needed faster feedback to ensure you were not breaking production every time you shipped.
  • Modern release cadence (2010s-Now): High-performing teams today deploy multiple times per day. That only works if you have automated checks verifying that each change is safe before it reaches users.

Why Continuous Integration Emerged

Before 2000, most teams relied on manual testing, often on production-like desktops, to verify releases. As release cadence accelerated, manual testing became unsustainable. Continuous integration (CI) tooling solved that gap by automatically building and testing every commit as it landed in version control, surfacing regressions within minutes instead of days or weeks.

Milestones in CI Tooling

History of Continuous Integration Tools

Although GitHub Actions arrived late, its proximity to where code already lives made adoption skyrocket. For many teams, no extra accounts or runners are required; you can start automating workflows within minutes.

Looking Ahead

In the next lessons we will compare GitHub Actions with other options, then dive into the platform’s core concepts so you can start authoring your own pipelines.