"Audible, an Amazon company, is a leading producer and provider of audio storytelling. With a vast library of over 1,000,000 titles including audiobooks, podcasts, and Audible Originals with specific curated offerings available in each marketplace, Audible makes it easy to transform everyday moments into extraordinary opportunities for learning, imagination, and entertainment through immersive audio experiences. Robust testing is critical to ensure millions of end users enjoy a seamless experience across devices."
"Remember the last time you inherited a software application codebase with minimal test coverage? Or perhaps you've written code in a rush to meet a deadline, promising yourself you'd add tests "later"? We've all been there. Testing is crucial but can often gets deprioritized when deadlines loom. That's where Amazon Q Developer 's agentic workflows come in, transforming the way developers approach test generation. This blog explores how Audible used Amazon Q Developer to boost their unit test coverage."
"In high velocity development environments, testing cycles can often times get compressed under tight deadlines, increasing quality risks. Amazon Q Developer transforms this paradigm by accelerating testing while maintaining comprehensive standards. Through automated test generation, edge case identification, and fix suggestions, teams execute thorough testing in reduced timeframes, delivering expedited releases, optimized QA resources, and enhanced production readiness. Each function that does not have the appropriate testing implemented, represents the potential for a rework, bugs, and maintenance challenges."
Audible provides over 1,000,000 audio titles and requires robust testing to ensure seamless experiences for millions of users across devices. High-velocity development and inherited codebases frequently leave functions untested, increasing risks of rework, bugs, and maintenance. Amazon Q Developer offers agentic workflows that automate test generation, identify edge cases, and suggest fixes to accelerate testing while upholding standards. Teams can execute comprehensive tests in reduced timeframes, enabling faster releases, optimized QA resource allocation, and improved production readiness. The approach reduces time and effort needed to achieve proper unit test coverage for both existing and new code.
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