Posts Tagged "ai-native-development"

An 8th specialist that touches the browser — navigating, clicking, and typing to find bugs that scripted journeys miss. How exploratory testing with Playwright catches what verification alone cannot.

Seven specialists, each with their own checklist — QA, UX, UI, Security, Performance, Data Leakage, Language. How splitting evaluation into focused agents catches more.

The leap from AI-assisted coding to autonomous batch processing. Fresh context per task, filesystem locks, model routing, and orchestration that runs while you sleep.

Real browser, predefined journeys, specialist agents checking every step. How QA findings feed back into the issue tracker to close the development loop.

The AI picks up a planned issue, implements it, tests it, commits, and marks it done. How headless batch mode lets me plan in the afternoon and wake up with code in the morning.

Vague instructions produce vague implementations. How I sit with the AI to refine rough ideas into concrete, implementable specs — before any code gets written.

The bottleneck isn't the AI — it's me. Three slash commands that form a loop: Plan, Work, QA. How structured phases replaced ad-hoc chatting and made AI development manageable.