Test Archaeology: Following Natural/Adabas Behaviour from the Mainframe to Linux

D90 is a long-running Natural/Adabas application that supports core driver and vehicle licensing services. We’re moving it from its existing IBM mainframe environment to Linux running on AWS, which raises an obvious question: will it still work the same way? The application launched in the 1990s and has been refined ever since. Moving it to Linux running on AWS requires adapting to a different platform: encoding, sort order, I/O behaviour, and other assumptions built into the code over decades. We are adding Cucumber scenarios using Software AG’s browser-based Natural interface with Capybara and Playwright to ensure key features work as expected. ...

July 16, 2026 · 9 min · 1722 words · Joseph Ward

DVLA @ AI Engineering Lab Hackathon

On the 16th of April 2026, data and software engineers from DVLA went to the AI Engineering Lab Hackathon at CodeNode in London. This was a cross-government event led by the Department for Science, Innovation, and Technology (DSIT) and Version 1. The event brought public sector engineers together to explore how far AI can go in supporting public services, and there were representatives from major vendors like Anthropic, AWS, and Microsoft on hand to provide support throughout the day. ...

June 3, 2026 · 16 min · 3235 words · Phillip Rees, Simon Evans

Generating AI Audio

Your browser does not support the audio element. You may prefer to listen to the audio version of this blog post. Download audio At the DVLA Emerging Technology Lab, we wondered whether Generative AI could be used to make long-form documents more accessible and engaging. Many individuals find reading extensive written documents challenging. Recent technological advances have enabled the generation of “audio overviews” and “podcasts” from text content. Our idea was to explore how far this technology might assist neurodiverse individuals, or those for whom English is not a first language. ...

January 1, 2026 · 3 min · 558 words · Gethin James