Scaling Coding Agents (without breaking your dev team)
The thought of many coding agents spinning up across a mature codebase fills some engineering managers with dread, worrying about how to manage all the changes, deal with potential merge conflicts, half complete PRs, and agents going into a spiral and simply building the wrong thing. However, if you suddenly onboarded twenty grads into your development team, you would see many similar problems because the underlying systems and processes don't support a sudden influx of new developers into the codebase.
Coding agents require some specific guidance, but systems and mechanisms you implement to help scale your AI development agents can also provide additional support for your human developers when they are onboarding to a new codebase or a new part of the stack - making your dev team more resilient and productive in the long run too.
In this session, we'll cover how to implement engineering systems and processes that benefit coding agents as well as humans and make the whole team more effective and productive and the codebase more sustainable.
Andrew Fisher
Andrew (AJ) Fisher is an experienced executive with over 25 years of experience combining technology, customer experience, and business strategy on a global scale. As a fractional CTO engaged with startups and enterprise organisations, his work is now mostly focussed on driving performance and experiences using a blend of technology, people and organisational systems and AI is at the heart of those discussions daily.
AJ's work spans diverse sectors internationally, including Retail, Digital Products, Entertainment, Not for Profit and Government, addressing a broad range of business challenges. His passion for AI/ML, web tech, data, and physical computing drives his commitment to improving customer experiences.