The promise is noisy. The workflow is real. image
  • Simon Tomes's profile
  • Imran Ali's profile
How can we manage the complexity of AI testing tools?
8 things you probably don't want to do when it comes to AI testing image
  • Rosie Sherry's profile
  • Imran Ali's profile
Good practice is also about learning what to avoid
The TRAPS Model for AI migrations image
  • Rosie Sherry's profile
The five risk categories to navigate before, during, and after an AI migration.
A guide to AI agents for testers image
  • Rahul Parwal's profile
AI agents are becoming the new OS for building, testing, and shipping software
Whose code is it anyway? image
  • Simon Tomes's profile
  • Charles Penn's profile
  • AI Chapter's profile
If you didn't write it, do you own it? The role of AI Guardrails in code quality.
The soft skills shift everything image
  • Simon Tomes's profile
  • Cristina Lanca Carrageis's profile
  • AI Chapter's profile
Are we trading soft skills for AI fluency?
Trust me, I'm an AI output image
  • Simon Tomes's profile
  • Pranav Pandit's profile
  • AI Chapter's profile
From automator to orchestrator
The power of proactive patience image
  • Ash Winter's profile
  • Simon Tomes's profile
Are we ready? How quality coaches and engineers can use patience to support their teams.
Foundations favour the AI brave image
  • Simon Tomes's profile
  • Preeti Gupta's profile
  • AI Chapter's profile
How do we strengthen our foundational knowledge amid rapid AI growth?
Coaching with code: using AI to learn how to automate tests image
  • Megan Ozanne's profile
Leverage AI as a personalised "code coach" to bridge the gap between manual testing and automation by translating plain English into executable scripts and providing line-by-line logic explanations.
Does AI test generation actually improve velocity? Solving the regression bloat image
  • Jamie Motheral's profile
Combine AI-generated tests with intelligent test selection to manage large regression suites and speed up feedback
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