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The latest News and Information on Software Testing and related technologies.

From Buggy Beginnings to AI-Powered Quality with Cristiano Caetano

Recently, I had the pleasure of sitting down with Cristiano Caetano, VP of Product at Katalon, to explore his journey in software testing. It was a path that began with frustration, evolved through innovation, and now looks toward an exciting AI-driven future. Cristiano's insights shed light not only on his personal career path but also on the broader evolution and future of software testing.

The Rise of AI-Driven Performance Engineering

There’s a particular kind of exhaustion that comes with traditional performance testing. You spend weeks building perfect load scenarios, run them overnight and wake up to a wall of red in your monitoring dashboard. Half your day disappears into log files, trying to piece together what went wrong. And just when you think you’ve got it right, a minor UI update breaks everything and you’re back to square one. If this sounds familiar, you’re not alone.

Copilot vs Cursor: A Complete AI Coding Assistant Comparison

Coding with artificial intelligence is not just a nice-to-have; AI applications in computer programming are becoming integral to modern computer programming workflows. Presently, two primary applications dominate the discussions in this area: GitHub Copilot and Cursor AI. While both applications provide faster coding times and fewer bugs, fewer bugs, and smarter code, they offer such features in extremely different ways.

The Hidden Cost of 30% AI-Generated Code #speedscale #aicoding #devops #technews #ai

AI now writes 30% of Big Tech’s code, but the resulting surge in defects is crashing platforms like AWS and GitHub. Manual testing can no longer keep up with this velocity; it's time to deploy AI Quality Agents to save our systems. Is AI speed worth the decline in code quality, or are we headed for a breaking point? Let me know if you’ve noticed more bugs in your workflow lately. Video collab with @ScottMooreConsultingLLC.

How did Katalon work with the customer, and what did success look like?

Katalon worked closely with the customer to set clear success metrics, benchmark their starting point, and build a roadmap to boost automation, reduce defects, and speed up releases. The outcome: far fewer weekend emergencies for the VP, major gains in automation coverage and quality, and a QA team that’s now more mature, and even adopting AI in their testing. — Daisy Hoang, SVP Revenue at Katalon Follow Katalon for more insights in our series!

Top 31 Test Coverage Tools

Every experienced developer has shipped code that worked during testing but later failed in production because critical execution paths were never tested. This is exactly why test coverage tools exist to uncover untested code, missed branches, and risky logic that traditional testing often overlooks. Without reliable test coverage, teams are forced to rely on assumptions rather than measurable evidence.

Software teams are discovering something powerful: agentic automation that connects across the SDLC

In this From the Bear Cave session, Dan Faulkner and Vineeta Puranik break down how MCP Server enables connected workflows, what autonomy looks like in practice, and why trust and transparency are critical as teams adopt agentic automation.