Exploring the next generation of AI for Code

Faster, better unit testing is the key enabler of fast delivery of high-quality software. But accelerating unit testing and increasing coverage are difficult outcomes to achieve using traditional manual methods.

Diffblue Cover solves this problem for enterprises running Java applications by using AI to automatically write and maintain the unit tests they need.

In November 2022 Diffblue announced a new, enhanced version of Cover, introducing a range of new features that build on and extend the product’s core AI for Code technology. In this webinar we took a closer look at what’s new and how it can help Java development teams.

Join this webinar to:

• See how Diffblue Cover Core removes tedious, repetitive, error-prone work from Java developers
• Learn what the new features of Cover - Reports, Refactor, Optimize and Replay - do, and how they work
• Understand how Cover’s new capabilities enable enterprises to realize more value from unit testing
• Pose your own questions about AI-augmented coding

Speakers:
Matthew Richards is the Head of Product at Diffblue, where he spends a lot of time talking to Java teams about their challenges and how automation can help. Prior to joining Diffblue Matthew spent 10 years at Cisco leading international engineering and product teams, and was a founder at Richberg Data Resiliency.

Peter Yabsley is Head of Marketing at Diffblue, bringing over 15 years of marketing experience to the role. Peter’s career began in engineering and has since spanned a variety of marketing positions at companies including Canon, Intuit and Basis Technologies.