AI Is Doing the Testing Now
The article warns that the latest hype – AI doing the testing – is a dangerous “lie.” While AI can rapidly generate test cases, maintain regression suites and boost coverage numbers, it does not possess the judgment to understand business risk or uncover undocumented scenarios. Organizations that replace human testers with AI‑generated reports risk blind spots, as illustrated by a fintech incident where an undocumented rule caused a payment failure despite 80%+ coverage. The piece argues that AI should augment, not replace, skilled testers who can ask the critical questions AI cannot.
Stop Measuring Fast. Start Measuring Better
The article argues that AI‑assisted pull‑request (PR) reviews boost throughput but can destabilize the broader delivery system. While teams like Honeycomb saw merges rise from about 30 to 74 per day, defect escape rates remain flat, meaning more change reaches...
Shift Left Did Not Fix It
The article argues that the popular "shift left" approach—moving testing earlier in the software delivery pipeline—has not solved quality problems because organizations failed to shift decision‑making authority upstream. While testers are placed in early meetings and automation coverage rises, the...
A Small Step Forward
FreightPOP’s SDET lead is steering the team away from UI‑centric automation toward API‑level tests. By issuing three concrete tickets—tagging existing API tests, converting a bug ticket into an API test, and completing a proof‑of‑concept—the team secured quick wins. These steps...
The Needle and the Damage Done
The post uses the century‑long evolution of recorded‑music formats—from wax cylinders to streaming—as a metaphor for today’s AI boom. It outlines how each new medium sparked novelty, legal gray zones, rapid obsolescence, and eventually consolidation into a commodity platform. The...
Everyone Owns Quality. Nobody Knows What that Means
The article argues that developers should own software quality, but only if the specific quality tasks are clearly defined and resourced. It warns that many organizations cut QA headcount without transferring the work, leaving quality responsibilities orphaned. Defects caught in...
From the Studio — Everybody’s on the Ban List: Separating Espionage From Fear in the US-China Tech War
A wave of U.S. bans targeting Chinese‑origin tech—from TP‑Link routers to DeepSeek AI—has sparked a debate over real security threats versus political overreach. While TP‑Link devices were used in state‑backed botnets, the vulnerabilities stem from firmware flaws, not intentional backdoors,...
Optimizing the Wrong Part of the Testing Process
A software firm has amassed 2,500 Cypress UI tests that require 45 hours sequentially and 8 hours in parallel, with another 3,000 tests slated for automation. The current workflow forces every manual test case into the automation backlog, creating a...
It’s Called Gratitude
A software testing team introduced a custom retrospective format called "Gratitude" to revive waning engagement. The template uses four columns—Kudos, I like it when, I feel meh about, I don’t like it when—to shift focus from actions to feelings and...
My Thoughts on ‘Self-Healing’ in Test Automation
The article warns that self‑healing test‑automation tools mask deeper quality issues rather than solving them. GUI‑driven tests frequently break because human‑focused interfaces change, causing false positives. Self‑healing frameworks apply AI‑driven probabilistic algorithms to guess the intended element when a locator...
From the Studio — This Won’t Happen To Me
Oracle announced a surprise 6 a.m. email on March 31, 2026 that terminated 30,000 employees—about 18 % of its global workforce—to free $8‑10 b in cash for its $500 b "Stargate" AI infrastructure partnership with OpenAI and SoftBank. The layoff mirrors a broader tech trend, with...
The ‘Valuable’ in Valuable Feedback, Fast
The article defines “valuable feedback, fast” as the core goal of test automation, breaking down “valuable” into four dimensions: relevance to stakeholders, appropriate coverage, trustworthiness, and actionability. It argues that tests must deliver information that matters, target high‑risk product behaviours,...
A SpotifAI Model?
The article likens today’s AI‑driven developer tools to the CD‑R and streaming revolutions that reshaped the music industry. It argues AI removes technical friction, dramatically increasing code throughput while overall software quality falls, echoing how cheap recording flooded the market...
Quick Wins for Using AI in Software Testing
Teams under pressure to showcase AI in testing are turning to chatbots for rapid, low‑code wins. By prompting a conversational model, non‑coding testers can synthesize test ideas from requirements, turn test cases into support documentation, and generate scripts or API...
On Increasing Focus in My Career
The author, a test‑automation consultant, announced a strategic shift to concentrate almost exclusively on his training business, scaling back video production, additional consulting gigs, and proactive speaking engagements. He plans to finish his current video course but will no longer...