Two MoTacon attendees are on the left. The MoTaacon logo is in the center, and to the right a prompt to Get Your Ticket.
How we overhauled the MoTaverse profile page image
  • Simon Tomes's profile
Using the GPS Model to deliver software with quality and care
What to do when someone leaves your team image
  • Simon Tomes's profile
  • Neil Taylor's profile
Build team resilience as colleagues leave and your team's knowledge changes shape
Reducing the cost of curiosity with AI image
  • Simon Tomes's profile
  • Adam Davis's profile
  • AI Chapter's profile
Build for fun, build to learn, build for business. How do the things you build outside work teach you inside it?
When AI maintains your tests: Designing safe self-healing automation image
  • Pranav Pandit's profile
Locator maintenance is the hidden tax of UI automation
Think bigger: what's going on with the AI test case generation? image
  • Simon Tomes's profile
  • Nataliia Burmei's profile
How workflow thinking takes your AI use beyond test cases and bug reports
The Interview Question Bank for Engineering Managers image
  • Neil Younger's profile
Organised by theme, and every question comes with a short thinking prompt
The continuous learner: Why we need to design our careers for lifelong learning image
  • Rosie Sherry's profile
Our learning practices need to adapt to an iterative mindset
Doing shift-left right: Start thinking and learning early in the development cycle image
  • Hanisha Arora's profile
Testing earlier pays off when it means questioning earlier too.
The Rigour image
  • Rosie Sherry's profile
The hidden burden behind building quality products
Production down, crisis communication up image
  • Simon Tomes's profile
  • Heleen Van Grootven's profile
A major issue hits the production environment. While we want to know what happens next, we need to ask what should've happened before?
Every AI evaluator is a tester at heart image
  • Simon Tomes's profile
  • Swathika Visagn's profile
Exploratory testing, risk-based thinking, benchmarking: the same approaches, aimed at a new kind of system
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