30 Days of AI in Testing Challenge: Day 31 Bonus: Visualise the future of AI in testing
Day 31 bonus reflection visualizing the future of AI in testing, including team roles, workflows, risks, and opportunities for sustainable adoption.
30 Days of AI in Testing Challenge
30 Days of AI in Testing Challenge: Day 30: Consider what your AI Test Buddy would do for you
Day 30 exploration of what an AI test buddy should do: augmenting planning, generation, analysis, and feedback loops for higher-quality testing.
30 Days of AI in Testing Challenge: Day 29: Share whose work is influencing your AI in testing approach
Day 29 recap of experts and communities influencing my AI-in-testing approach, with key takeaways and how they shape practical testing decisions.
30 Days of AI in Testing Challenge: Day 28: Build your own AI Tools
Day 28 notes on building your own AI testing tools, from problem framing and prototype design to validation and iteration in real workflows.
30 Days of AI in Testing Challenge: Day 27: Assess your team’s readiness to adopt AI-assisted testing
Day 27 reflection on evaluating team readiness for AI-assisted testing, identifying capability gaps, and creating a practical adoption roadmap.
30 Days of AI in Testing Challenge: Day 26: Investigate strategies to minimise the carbon footprint of AI in testing
The blog post discusses strategies for minimizing carbon footprint in AI testing, as part of the 30-day AI Testing Challenge…
30 Days of AI in Testing Challenge: Day 25: Explore AI-driven security testing and share potential use cases
This blog post is about the twenty-fifth day of the 30-Day AI Testing Challenge, exploring AI-driven security testing and sharing potential use cases…
30 Days of AI in Testing Challenge: Day 24: Investigate code explanation techniques and share your insights
This blog post is about the 24th day of the 30-day AI Testing Challenge, exploring code interpretation techniques and sharing insights…
30 Days of AI in Testing Challenge: Day 23: Assess AI effectiveness in visual testing and discuss the advantages
This blog post is about Day 23 of the 30-Day AI Testing Challenge, focusing on assessing the effectiveness of Artificial Intelligence in visual testing and discussing its advantag…
30 Days of AI in Testing Challenge: Day 22: Reflect on what skills a team needs to succeed with AI-assisted testing
This blog post is about Day 22 of the 30-Day AI Testing Challenge, discussing the skills necessary for a team to succeed in AI-assisted testing…
30 Days of AI in Testing Challenge: Day 21: Develop your AI in testing manifesto
This blog post is about Day 21 of the 30-Day AI Testing Challenge, encouraging participants to create their own AI Testing Manifesto…
30 Days of AI in Testing Challenge: Day 20: Learn about AI self-healing tests and evaluate how effective they are
This blog post is about Day 20 of the 30-Day AI Testing Challenge,exploring the effectiveness of AI self-healing tests. The article may include the author's definition, purpose…