Deanna Dromey, co-host, returns to the podcast after maternity leave, excited about updates and developments in the MOTiverse. Key changes include new features, better ways for people to connect, and updates to profiles and chapters.

MOT This Week in Testing

MOT - This week in Testing - Varied hosts, group chat, often with community questions and involvement. Show notes have a full transcript.

• https://www.ministryoftesting.com/podcasts
• https://www.ministryoftesting.com

Episode Details

• Show Notes: https://www.ministryoftesting.com/podcasts/this-week-in-testing?wchannelid=czgwdadw2c&wmediaid=fsqfzq0nat
• Published: 2026-02-06T14:49:26Z
• Duration: 51:27
• Author: Unknown

Overview

The podcast covers recent changes and additions to the Ministry of Testing (MOT) platform, including integrated chapters, activity reports, and a new “Thank You Stars” feature that allows users to show appreciation within the community. These updates aim to improve user experience and encourage more interaction among members. The discussion also highlights contributions from various community members, such as Rosie Sherry, Gary, and Sean Vernier, who are actively involved in topics like quality engineering, API testing, and AI-assisted learning.

Upcoming MOT events are featured in the event calendar, with particular attention to the MOT London conference on February 26th. This event will showcase the new integrated chapter system, which includes tagged photos, memories, and recordings to enhance engagement. There is also enthusiasm around the Software Quality Engineering Certificate (SQUEC) initiative, which is in the process of defining quality engineering principles and receiving input from professionals around the world. The MOT platform continues to evolve through regular updates driven by user feedback and a strong emphasis on community involvement. Participants are encouraged to engage actively within the MOTiverse to support collective learning and connection.

What If

• What if you created a new chapter on the MOT platform specifically for your niche or local community?

  • Concrete move: Register a chapter on the MOT platform, integrate profile connections, and host a hybrid event (in-person + virtual) with photos, memories, and tagged recordings.
  • Why now: The MOT system is already live for chapters in London and Cambridge, and users can earn stars by contributing to events. This aligns with the platforms emphasis on community-driven content and visibility.
  • Expected upside: Attract collaborators, build a local network, and position yourself as a leader in your niche while leveraging the platforms features for engagement (e.g., photos, memories, and event tagging).

• What if you optimized your MOT profile and activity feed to highlight your contributions as a solo developer?

  • Concrete move: Set your profile to “open to work,” publish activity reports showing lessons completed, events attended, and articles read, and tag your contributions (e.g., a post memory about a recent project).
  • Why now: Activity reports are a proxy for learning and engagement, and the community values transparency. The “Thank You Stars” feature rewards recognition, which can boost your visibility.
  • Expected upside: Increase visibility to potential employers or collaborators, gain credibility through shared activity, and use the platforms “follow” feature to track industry leaders who might mentor or hire you.

• What if you used AI tools (like Copilot or Claude) to accelerate your learning of a new tech stack (e.g., Docker, CI/CD)?

  • Concrete move: Use AI-generated Dockerfiles and integration scripts as a starting point for your projects, then refine and test them based on your specific needs.
  • Why now: The text highlights how AI can act as a “kickoff point” for learning new tools, and the MOT community is already exploring AI-driven knowledge services. This aligns with trends in quality engineering and automation.
  • Expected upside: Reduce the learning curve for mastering new tools, ensure faster prototyping, and position yourself as tech-savvy by leveraging AI in your workflow.

Takeaway

• Leverage the MOT chapters integration to build visibility: Attend MOT chapter events, link your profile to chapters, and participate in activities (like posting memories or tagging photos) to earn stars and expand your network within the community.
• Use AI tools to accelerate learning: Utilize AI-driven tools like Claude or GitHub Copilot to generate Docker configurations, Compose files, or troubleshoot CI/CD pipelines, as shared by community members like Sean Vernier.
• Track and share your activity report: Review your MOT activity report (which logs lessons, events, and awards) and share it publicly to demonstrate your engagement and learning progress to potential employers or collaborators.
• Follow key community members and stay updated: Use the “follow” feature on MOT to track updates from active contributors, chapter organizers, or speakers. This ensures you stay informed about new events, features, or opportunities.
• Engage with SQUEC to build expertise: Enroll in the Software Quality Engineering Certificate (SQUEC) modules and contribute to its global learning initiatives to cement your knowledge in quality engineering principles and community-driven practices.