AI Can Generate Unit Tests But Who Reviews Them?
As AI makes test creation nearly effortless, software teams face a new challenge: determining which tests actually improve quality and which simply add noise.
As AI makes test creation nearly effortless, software teams face a new challenge: determining which tests actually improve quality and which simply add noise.
Patronus AI has announced a $50 million Series B led by Greenfield Partners and unveiled its Digital World Models, a new class of large-scale simulation environments designed to help AI systems train, evaluate, and improve across complex digital workflows.
Picking an insurance software development company starts in a place most buyers skip. Not the price. Not the logo wall. The testing. Insurance software touches policies, claims, private data plus real money, so one quiet defect in a claims engine can block a payout that someone is counting on.
The software testing profession has evolved dramatically over the past decade. What was once considered a role focused primarily on finding bugs has expanded into a discipline that encompasses automation, security, performance, usability, and quality engineering.
In this article, Mikhail Golikov, the sole QA on a seven-team backend platform, explains how he turned a drawer full of unrun Postman collections into committable pytest suites, walks through the conversion request by request, and shows the folder-scoped command-line tool he built so one team’s pattern could scale to seven.
For a long time, cybersecurity discussions within the defense sector focused heavily on protecting networks, securing endpoints, and controlling access to sensitive information.
Qualitest has announced its rebranding to QualityAI. The new brand should reflect the company’s evolution from software testing specialist to AI-first quality engineering partner.
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