Reframing testing as a collaborative, engineer‑driven discipline—augmented by AI—enables faster releases, lowers hiring barriers, and sustains product quality in increasingly automated development pipelines.
The fourth episode of "Into the MoTaverse" features Chris Miles, Head of Platform Engineering at Legal & General, discussing why organizations should shift from trying to automate quality itself to automating the testing process. Hosted by Rosie Sherry, the conversation explores how a tester’s career can flourish without a heavy coding focus and how the industry’s long‑standing bias toward code‑centric roles is evolving.
Miles argues that the obsession with coding skills in testing is misplaced; many testers bring a holistic view of quality that spans from idea generation to decommissioning. He highlights the rise of AI‑assisted coding tools like Copilot and Claude, which democratize test automation, allowing non‑developers to contribute meaningful automated tests. The discussion also stresses the importance of a balanced automation strategy—enough to accelerate delivery but not so much that teams lose trust in their test suites.
Notable examples include rebranding testers as "engineers" to break down silos, using Playwright instead of legacy Selenium, and a colleague who, with Copilot’s help, wrote unit tests she previously couldn’t. Miles emphasizes collaborative practices such as three‑amigos, pair‑testing, and involving quality engineers in pull‑request reviews, fostering shared ownership and reducing the need for separate testing phases.
The implications are clear: hiring managers should value testing expertise over raw coding ability, teams should embed quality engineers throughout development, and AI tools should be leveraged to lower entry barriers. By adopting a Goldilocks approach to automation and fostering a culture where testing is a shared responsibility, organizations can improve delivery speed, reduce maintenance overhead, and maintain high‑quality standards.
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