By now most of you have set up your own coding agent, maybe with sub-agents, custom instructions, and skills. But how do you go from a useful assistant to a system that runs autonomously, overnight, unsupervised, in production?

I'll walk through how we built a fully autonomous development workflow at Nordic Corporate Bank where an AI agent picks up a task, implements the solution, runs tests, creates a pull request, and reviews its own code, all before a human ever gets involved.

When developers open their laptops in the morning, finished pull requests are waiting for review. Build failures and production exceptions are automatically routed to the agent, which fixes them right away. Developers spend their time on architecture, design, and the problems that actually require a human, plus building the system that builds the system.
This is not a proof of concept or a keynote demo. This is code deployed to production every day. In a bank.