Behind the Scenes

See how this portfolio was built — from traditional QA frameworks at Newfold Digital to agentic AI-assisted development. Side-by-side comparisons, architecture diagrams, and workflow recordings.

Traditional vs Agentic: Side by Side

Task	Traditional (Newfold)	Agentic (Current)
Write test for new feature	Manual Cucumber feature file + step definitions + page objects (~2-4h)	AI generates from Acceptance Criteria → human reviews + adjusts (~20min)
CI/CD pipeline config	Jenkinsfile hand-coded with Groovy syntax, tested via trial-and-error	Agent proposes pipeline → human approves + adjusts parameters
Framework architecture	Researched patterns, POC'd, coded layers over weeks	KATA framework scaffolded in hours via skills, composable from day one
Test reporting	Custom reporter code per project, HTML/XML output formats	KATA reporter + Allure out of the box, historical trends baked in
Git workflow	Manual branching, conflict resolution, PR management	git-flow-master skill handles branching + commits + PRs autonomously

Architecture Evolution

Two pipelines — same engineer, expanded toolkit.

Architecture diagram comparing Traditional SDET and Agentic QA pipelines

2019-2023: Traditional SDET

•Cucumber + TypeScript Page Object Model
•Robot Framework + Python for API tests
•Jenkins pipeline with manual stage config
•Allure reports, Jira traceability
•Manual Cucumber feature file authoring

2025+: Agentic QA

•KATA framework with component-action-test layers
•AI-driven test generation from AC Gherkin
•GitHub Actions CI with multi-stage orchestration
•Autonomous mode gate bypass for sprint workflows
•Health tooling: asset integrity, staleness, consistency

Media Gallery

Screenshots, diagrams, and recordings showing the portfolio and workflows in action.

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