Automation and Testing in Development
Something has been quietly shifting in how development teams think about testing. It started, as these things often do, with one person's honest account. On March 31st, a developer published a piece on Dev.to about moving from code design into manual QA — not a triumphant pivot story, but a genuinely reflective one about what you learn when you slow down and actually *look* at what the code does rather than just writing it. That post scored modestly. It landed for the people it was meant to land for. Then, nine days later, a second piece arrived with considerably more force: a team had gone 100% automation on a client project, and they were willing to name what broke. That post scored nearly twice as high. The sequence matters. First someone explores the human side of testing discipline, then someone documents the consequences of abandoning it entirely in favour of automation. These are not unrelated threads.
If confirmed as a genuine pattern, here is what this means. The vibe coding era — building fast, shipping faster, leaning on AI to generate code at pace — has quietly inherited an old debt: the assumption that automation handles quality. It doesn't, not completely. What breaks when you go 100% automated isn't just the edge cases the scripts miss; it's the institutional knowledge that lives in the mind of someone who once sat with the software and watched real users interact with it. Manual testing, done well, is observational intelligence. Strip it out entirely and you build systems that pass tests and fail people. The second-order effect here is cultural: teams that move fast with AI-assisted coding are often also the teams most tempted to automate testing wholesale, because the whole philosophy is velocity. If that combination is producing failures, the lesson isn't to slow down — it's to be deliberate about where human judgment remains non-negotiable.
Watch for more project post-mortems coming out of teams running AI-accelerated development workflows — specifically any that name testing strategy, not just code quality, as the point of failure.
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