22 years in 22 minutes - lessons learned and how they apply in the AI era thumbnail

22 years in 22 minutes - lessons learned and how they apply in the AI era

I started the Selenium project in 2004. Twenty-two years later, after open-source projects, startups, robots, and a few surprises along the way, I've collected a few lessons.

Here are 10 of the 22 I'll attempt to fit into 22 minutes:

  1. Know what problem you're solving. It's okay if you don't know yet, and it's okay if it changes.
  2. Make things you want to exist.
  3. Focus on the rock, not the rope. It's about climbing the mountain, not your awesome climbing gear.
  4. Being early feels a lot like being wrong.
  5. You don't need permission to start.
  6. Side quests have a funny way of becoming main quests.
  7. I still can't explain why open source works, but it does.
  8. Always know your BATNA.
  9. Know when to quit. Know when not to.
  10. Stay curious.

The technology has changed a lot in 22 years. These lessons haven't. I'll talk about how they apply in the AI era, and what I'm learning all over again.


Comments

Sign in to comment
Explore MoT
From test cases to AI-ready quality data: why structure matters image
Learn how to structure and organize test management data as an AI-ready foundation that gives AI systems richer context for testing insights and workflows.
MoT Advanced Certificate in Test Automation image
Ascend to leadership roles by mastering strategic skills in automation strategy creation, planning and execution
Into The Motaverse image
Into the MoTaverse is a podcast by Ministry of Testing, hosted by Rosie Sherry, exploring the people, insights, and systems shaping quality in modern software teams.
Subscribe to our newsletter