Product & engineering field notes
Stories and debriefs from strategy rooms, design sprints, and launches where customer value stayed the north star. Includes trade-off maps, runway forecasting, and leadership tactics you can reuse.
DQdigitals is my personal lab for Software Development, AI/ML, Cloud Computing, Quality Engineering, and DevOps—where product craftsmanship and UX storytelling collide. Expect the kind of software delivery field notes usually traded after midnight releases, captured as walkthroughs, playbooks, and hands-on experiments—from AI/ML and cloud patterns that reshape how teams deliver to WebdriverIO, Playwright, and Restlyn automation that keeps releases sharp.
Stories and debriefs from strategy rooms, design sprints, and launches where customer value stayed the north star. Includes trade-off maps, runway forecasting, and leadership tactics you can reuse.
Battle-tested testing patterns and reusable frameworks from the WebdriverIO, Playwright, and Selenium ecosystems I help steward. Expect UI regression toolkits, API reliability guardrails, and mobile flows packaged as plug-and-play playbooks.
Hands-on journeys through AI/ML workflows, cloud platform patterns, and automation stacks that scale. Track prototypes from prompt engineering and data pipelines to cross-team guardrails powered by Restlyn API test generators and cloud-native orchestration.
Fresh reads from the lab. Catch the newest drops before they fade into the archive.
AI pilots rarely fail because the model is incapable; they stall when teams cannot connect the model to a durable customer outcome. Here ...
Read moreModern product teams are expected to ship faster than ever while still taking bold bets on experience, reliability, and growth. The answe...
Read moreThis tutorial expands on the playbook from “Designing Reliable AI Hand-offs” with a runnable Node.js project. You will stand up a lightwe...
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