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Practical guides, tutorials, and thought leadership on quality engineering and AI transformation.
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13 posts
Implementing AI in Software Testing: A Practical Guide
How to apply Generative AI, ML, and autonomous agents to software testing — covering AI-assisted test generation, smart defect triage, visual testing, and real-world implementation strategies.
Agentic AI and Autonomous Testing: The Future of Quality Engineering
A deep dive into agentic AI for software testing — how autonomous AI agents plan, execute, and adapt test workflows, the current tool landscape, and how to evaluate and adopt agentic testing today.
AI-Powered Test Generation with Claude and Playwright
How to use Anthropic Claude to automatically generate Playwright test scripts from user stories and design specs — a practical guide with real code.
Intelligent Document Processing - Automating Document Understanding with AI
A comprehensive guide to Intelligent Document Processing (IDP) — understanding how AI and automation extract, classify, and process data from documents to streamline business operations.
Smart Test Data Generation Using AI: A Practical Guide
How to use AI and LLMs to generate comprehensive, realistic test data — covering synthetic data generation, edge case discovery, PII-safe test datasets, and practical code examples with Claude and open-source tools.
Robotic Process Automation - Automating Repetitive Business Processes
A comprehensive guide to Robotic Process Automation (RPA) — understanding how software robots automate repetitive tasks, improve efficiency, and transform modern business workflows.
Top AI Testing Trends QA Engineers Must Know in 2025–2026
The most important AI-driven testing trends reshaping quality engineering — from autonomous agents and self-healing tests to AI-generated code validation and shift-right strategies. What's real, what's hype, and how to act on it.
MCP Servers for QA Engineers: Supercharge Your Testing Workflow
How Model Context Protocol (MCP) servers let QA engineers connect AI assistants directly to their testing tools, CI pipelines, and test management systems — with practical examples for Playwright, Jira, GitHub, and custom QA tooling.
Testing AI-Generated Code: Why QA Matters More Than Ever
As AI-generated code goes mainstream, QA engineers face a new challenge: validating code that was never manually written or reviewed. Here's what changes, what the risks are, and how to build a testing strategy for AI-assisted development.
What Is Vibe Coding? A QA Engineer's Guide to the AI Development Revolution
Vibe coding — building software by describing what you want to an AI and accepting what it generates — is reshaping how software gets built. Here's what QA engineers need to understand about it, the real quality risks it creates, and how to adapt your testing strategy.
Vibe Testing: The QA Answer to Vibe Coding
Vibe testing applies the same AI-first, natural-language approach of vibe coding to quality assurance — writing tests by describing intent, not scripting steps. Here's how QA engineers can adopt vibe testing workflows, which tools enable it, and where human judgment still matters most.
How Claude.ai Supercharges Your QA Workflow: A Practical Guide
A hands-on guide to using Claude.ai for quality engineering — from writing test cases and generating Playwright scripts to analysing test failures, reviewing test coverage, and building AI-assisted QA workflows. Real prompts, real outputs.
Prompt Engineering for QA Engineers: Get Better AI Output for Testing
A practical guide to prompt engineering specifically for quality engineering tasks — how to write prompts that generate high-quality test cases, Playwright scripts, failure analyses, and test strategies from AI tools like Claude.
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