milanm081

Thank you all for the valuable feedback! I'll review each comment and improve what I can on the website.

Fixed

Fixed

Fixed, thanks!

For years, I kept notes on patterns I saw in software projects, architecture, planning, estimation, testing, scaling, and team design.

I pulled those notes into a browsable site with 56 laws, grouped into categories, with short explanations and separate pages for each one.

The goal was simple: put these ideas in one place, so when you want a quick refresher on Conway’s Law, Brooks’s Law, Gall’s Law, Hyrum’s Law, or Goodhart’s Law, you can find it fast.

I’m more interested in criticism than praise. Which laws are missing, which ones feel overstated, and which ones get misused most often in real work?

When I first picked up Software Engineering at Google, I expected another Big Tech flex, with practices that only make sense if you have a billion users and 30,000 engineers. But I was wrong. The lessons in this book are universal and apply whether you’re on a team of 5 or 5,000. It draws on 2 decades of experience from an organization that runs 2+ billion lines of code and changes 25 million lines per week.

The book isn’t about programming, per se. It’s about the good engineering practices that Google has used over the years and decades to keep a healthy codebase.

In particular, it is about what happens after you write the code: how you evolve it, share it, test it, and eventually delete it.