Real implementation stories, honest lessons, and practical frameworks from the trenches of
Agentic Quality Engineering. No hype, no vendor speak—just what actually works in production.
A pragmatic guide to understanding if autonomous quality engineering fits your context. Real implementation stories,
honest failures, and practical frameworks for evaluating agentic QE readiness before you waste time building the wrong thing.
How a quality engineering professional shipped broken features for 17 days while claiming "100% complete."
Eight brutal lessons learned from forgetting to verify what I already knew how to test.
A 48-hour journey through framework hubris and humble feedback. Building the LionAGI QE Fleet in 22 hours,
and why the most valuable part wasn't the building.
LionAGIFramework LearningExpert FeedbackBuild in Public
When stub tests pass CI but test nothing, and agents report success on broken code. A journey from false
confidence to verified truth, discovering that "show me the data" cuts through every illusion.
Real story of building two testing platforms with specialized agent swarms. What worked,
what failed spectacularly (54 TypeScript errors from "improvements"), and lessons learned
from going solo with AI orchestration.
Moving from testing-as-activity to agents-as-orchestrators. How PACT principles
(Proactive, Autonomous, Collaborative, Targeted) bridge classical QE with autonomous
testing systems, without the vendor hype.
How the Holistic Testing Model evolves when testing happens across boundaries, in production,
and through autonomous agents. From shift-left to orchestrated quality.
Cutting through vendor promises with real data on AI test generation effectiveness,
maintenance overhead, and when traditional approaches still win. Real numbers from real projects.
AI TestingReal DataCritical AnalysisProduction Stories