Software development is changing rapidly, with AI becoming a co-pilot, or even a full agent, for all the different stages. From planning and coding to testing, deployment, and monitoring. Many tools today are targeting the coding part, but there are possibilities in the other stages too.

We'll highlight the categories of tools that exist, where they fit in the lifecycle, and the tangible benefits they bring in speed, quality, and user experience. Attendees will walk away with a clearer map of the "AI tool landscape", an understanding of how different categories compare in terms of implementation effort, cost, and potential risks.

Leaders will be able to identify where their teams sit today in their AI-adoption. Technologists will get a concrete guide to tools that can make day-to-day work more productive and allow more focus on solving real problems.