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quality-engineering

quality-engineering

Modern Quality Engineering strategies to scale confidence — from shift-left testing to automation architecture, tooling, and developer-owned quality.

Prompt Regression Testing: A Real‑World Step‑by‑Step Guide for QA Engineers

Prompt Regression Testing: A Real‑World Step‑by‑Step Guide for QA Engineers

Audience: QA/QE engineers who ship software and want a concrete, repeatable workflow for testing LLM prompts like any other production surface. Outcome: You’ll implement a minimal, production‑ready prompt regression suite (golden tests + oracle + CI gate) using a realistic customer‑service example. Copy/paste the snippets into a

360° Test Intelligence Playbook for QE Directors

360° Test Intelligence Playbook for QE Directors

Blunt truth: If you don’t instrument usage and wire it into CI, you’re guessing. This playbook turns production reality into test strategy, automation ROI, and faster, safer releases. 0) Outcomes (What “Good” Looks Like) * Automate the right things: High‑usage, high‑criticality, deterministic flows. * Explore the right things:

Scaling Quality: Why Good Engineering Practices Are Non-Negotiable

Scaling Quality: Why Good Engineering Practices Are Non-Negotiable

In software development, quality is often seen as the responsibility of the QA or QE team. But the truth is blunt: you cannot scale quality without good engineering practices. At best, you can prop it up temporarily with brute force; running long manual regressions, firefighting in production, endless bug triage;

The New QA Pyramid: Building Agentic Test Strategies from Scratch

The New QA Pyramid: Building Agentic Test Strategies from Scratch

Testing isn’t what it used to be. The old test pyramid; unit, integration, E2E; still matters. But it’s no longer enough. Modern software is intelligent. It generates content, reasons, adapts, and learns. That means QA isn’t just about checking if a button works anymore. It’s about

From Zero to Playwright: How to Bootstrap an Automation Repo That Scales

From Zero to Playwright: How to Bootstrap an Automation Repo That Scales

You’re starting a brand‑new automation repo that you expect to grow into an enterprise asset. The goal isn’t “get a few tests running.” It’s lay down habits and guardrails so new SDETs can onboard quickly, write clean tests, and avoid the typical graveyard of flaky E2E.

The Hidden Bottleneck of AI-Generated Code: Why QA Will Make or Break Your Velocity

The Hidden Bottleneck of AI-Generated Code: Why QA Will Make or Break Your Velocity

“While most focus on shipping more code, we’re leaving stealth to address the growing QA bottleneck caused by an increase in AI-generated code.” That line captures one of the most overlooked truths about the current AI boom: the bottleneck isn’t just engineering capacity anymore. It’s QA. AI

Microservices Didn’t Kill Your Velocity; Your Lack of Test Observability Did

Microservices Didn’t Kill Your Velocity; Your Lack of Test Observability Did

Every engineering organization wants to move faster. So they break the monolith. Spin up microservices. Deploy independently. Celebrate continuous delivery. But soon, something feels off. Shipping slows down. CI pipelines get longer. Bugs show up between services, not inside them. And your team spends more time debugging tests than writing