Publications

Insights on AI-Driven Quality Engineering

Deep dives into the technology, strategy, and thinking behind Nogrunt - from GenAI test generation to context engineering.

From Test Automation to Quality Intelligence

Why software quality needs to evolve in the age of AI - moving from running more tests to understanding change, impact, risk, and release readiness.

Your Testing Framework Isn't Broken. It's Obsolete.

Most testing frameworks were built for a delivery model that no longer exists. Here's what an AI-native testing framework needs to look like instead.

The Hidden Operational Risk in Modern Manufacturing Isn't the Machine. It's Software.

Manufacturing runs on connected software systems, not individual applications. Every software release is now a production event - and quality engineering must evolve accordingly.

GenAI Test Case Generation

Leverage Generative AI to convert application walkthroughs into optimised, granular test cases ready for automation - reducing manual effort while ensuring high-quality coverage.

Self Healing - Timely and Just the Right Amount

A three-tier self-healing strategy that minimises test failures, reduces maintenance overhead, and ensures consistent execution accuracy while controlling costs.

Nogrunt Browser Agent

A proprietary browser agent combining AI capabilities with existing automation tooling to execute test cases with high precision and efficiency.

Mobile Execution Grid

An on-premise mobile test execution grid that provides enterprises with a cost-effective alternative to expensive public device farms.

Code Generation, Portability and Exit Strategy

Generate automation scripts across multiple frameworks - Selenium, Playwright, Cypress, Appium - ensuring zero vendor lock-in and complete code portability.

Agile Testing Platform

Seamless integrations with your existing tools and frameworks guide agile testing maturity - from in-sprint regression to full team collaboration.

Visual Testing Using Computer Vision

Leverage computer vision technology for precise UI validation - capturing baselines, detecting visual regressions, and ensuring pixel-perfect consistency across releases.

End to End Testing Platform

An AI-driven end-to-end QA automation platform designed for enterprises requiring quality at speed - supporting web, mobile, and API applications through a unified ecosystem.

Context Engineering - Why It Matters for Testing

Stop AI hallucinations in software testing. Context engineering directs AI behaviour, eliminating unreliable results and enhancing testing outcomes.