In the world of AI coding, success hinges on code-native solutions that integrate and verify changes directly in the codebase. Many AI tools fail by relying on external dashboards, lacking the reproducibility and testability that code provides. To truly harness AI, solutions must automate and validate changes within the existing code ecosystem, ensuring reliability and efficiency.
Test Value Distribution
Software Testing: The Comeback Kid of the 2020s
The past 15 years have been rough on software testers. The rise and fall of outsourcing, Agile growing from a manifesto to a movement and ever-shrinking release cycles have all taken a toll. By 2011, Albert Savoia walked on stage at the Google Test Automation Conference (GTAC) dressed as the Grim Reaper and declared testing […]