Software engineering leaders face a shortage of experienced testers, especially people with the skills required to programmatically create tests. Developers are drowning in Test/QA tasks rather than writing application code.
In this talk we will explore and demonstrate how autonomous AI for code solutions exceed the basic capabilities of standard GenAI coding assistants by being able to perform complex TestQA tasks without the need for human intervention and oversight.
You will come out of this session with an understanding of how reinforcement learning based autonomous AI can be used to augment development teams by becoming your new QA Engineer.
Specifically how it can be used in critical areas such as:
Automating away manual and tedious test operations
Test creation and maintenance
Scaling continuous testing in development locally and in CI
To deeply understand, streamline & optimize vast amounts of complex code
Regression and defect analysis
Attend this session to discover how Autonomous AI is spearheading a paradigm shift in software testing and quality assurance, heralding a new era of efficiency, accuracy, and innovation.
Speaker
Andy Piper
VP of Engineering @Diffblue
Andy is VP of Engineering at Diffblue, and was previously Head of Product Engineering at CBRE and the CTO of Push Technology Limited.
Andy has more than 20 years of combined engineering and technology leadership, and extensive Java experience which includes time at BEA and Oracle. He holds a PhD in computer science from the University of Cambridge.
Speaking credits:
- Devoxx UK 2022
- Devoxx Belgium 2022
- QCon London 2022
Find Andy Piper at:
Session Sponsored By
Diffblue Cover’s AI automatically writes complete Java unit tests that catch regressions sooner
Date
Monday Apr 8 / 05:05PM BST ( 50 minutes )
Location
Westminster (4th Fl.)
Video
Video is not available
