Insights
Sometimes the most effective guardrail isn't the most sophisticated one
AI needs guardrails to play by the rules and work better
Catch the on-demand session with gaming legend John Romero and see how we’re redefining software quality at AI speed.
Dynamically connect cross-functional team roles, build trust, lower stress and naturally reinforce software testing terminology.
How much does AI agent configuration matter?
How do you move on from a failed product launch?
Redefine software quality by replacing bug counts with metrics that track rework rates, the survival of assumptions in production, and the speed of recovery from system friction.
A great conversation on friction, influence and showing up authentically
AI agents are becoming the new OS for building, testing, and shipping software
Catch the on-demand session with gaming legend John Romero and see how we’re redefining software quality at AI speed.
How are teams like yours balancing speed, quality, security, and AI in 2026? Download your copy and get real insights.
Bring intelligent testing to every pull requests with autonomous static analysis and unit testing.
Better than a generic video, see YOUR test, live, ready to show you what matters most: quality at scale.
Call for Insights
View More
Sometimes the most effective guardrail isn't the most sophisticated one
AI needs guardrails to play by the rules and work better
How much does AI agent configuration matter?
How do you move on from a failed product launch?
Quality Engineering
View More
A great conversation on friction, influence and showing up authentically
Integrate monitoring, observability, and alerting into the core quality engineering process to ensure systems are as diagnosable as they are functional
Implement the Playwright Page Object Model (POM) to build maintainable, resilient test suites by centralizing page interactions and separating them from test logic.
How does a team’s stage of development influence the style of quality engineering it needs to thrive?
AI
View More
AI agents are becoming the new OS for building, testing, and shipping software
If you didn't write it, do you own it? The role of AI Guardrails in code quality.
Are we trading soft skills for AI fluency?
From automator to orchestrator
Tooling
View More
The shift from scripting steps to designing prompts and AI guardrails has begun
Experiment with AI development tools to understand their impact on delivery speed and the quality challenges they create for engineering teams
Discover how the recruitment landscape has changed over the past 10 years, for both testers and hiring managers
Discovering a new tool is one thing, but now we have to learn how to use them.
Automation
View More
If you didn't write it, do you own it? The role of AI Guardrails in code quality.
Automation activities, like all software development work, only matter if they contribute to real business outcomes.
Are we ready? How quality coaches and engineers can use patience to support their teams.
Implement the Playwright Page Object Model (POM) to build maintainable, resilient test suites by centralizing page interactions and separating them from test logic.
Quality Attributes
View More
Integrate monitoring, observability, and alerting into the core quality engineering process to ensure systems are as diagnosable as they are functional
How do AI guardrails deal with millions of possibilities?
Modernise your design strategy with mobile-first and keyboard-centric approaches that create more resilient, accessible, and user-friendly software.
Apply a four-dimension framework to assess whether synthetic data can be trusted for performance testing.
Tech Careers
View More
How do you move on from a failed product launch?
What we should have been hiring for all along
Why showing up helps quality professionals acknowledge their continuous learning journey
AI's impact on quality generalists vs quality specialists
Leadership
View More
Do Engineering Managers hold all the power?
The sense of loss will be outweighed with the joy of influence
How is friction helping and not helping software engineering and testing teams?
How do we convince product and project people about the importance of testing?