Insights
When has chasing automation coverage cost you more in maintenance than it gave back?
Learn how to evaluate LLM quality and limitations using a range of testing techniques, from unit and regression testing to bias, adversarial and explainability testing.
Manage your entire QA lifecycle in one place. Sync Jira, automate scripts, and use AI to accelerate your testing.
There's a skill in spotting which of your activities are genuinely high value
The whole team can interactively explore the vulnerabilities worth probing. Before an attacker does.
The whole team can interactively explore the numbers worth testing
What would change if the work you are proudest of was actually seen?
Identify the subtle signs of "implementation-driven design" and discover practical strategies for testers and tech leads to actively defend and restore user-centric product intent.
A one-word shift that opens up quality thinking
Worried that AI will break your testing strategy? Join the WireMock tech team for a hands-on session on June 29
With servers in >250 cities around the world, check your site for localization problems, broken GDPR banners, etc.
Manage your entire QA lifecycle in one place. Sync Jira, automate scripts, and use AI to accelerate your testing.
Test complex APIs and microservices smarter—with confidence.
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Understand why test data management is a more complex and impactful challenge than test automation itself, and how to address it through better ownership, tooling, and data practices.
Chaotic learning is not the best option
Learn how to debug hidden email integration failures across multiple backend layers (from SMTP authentication to application logs) instead of falsely trusting successful frontend UI messages.
Dynamically connect cross-functional team roles, build trust, lower stress and naturally reinforce software testing terminology.
Insights
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Most teams think they've handled dates. Most teams are wrong.
What if the tools we use to stay on top of things are quietly making us worse at our jobs?
Why your own messy notes still beat a tidy AI summary
A Claude Skill to copy or spark inspiration
Call for Insights
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When has chasing automation coverage cost you more in maintenance than it gave back?
There's a skill in spotting which of your activities are genuinely high value
What if strategic thinking is mostly subtraction?
Is it time to reframe negative testing?
