Webinar: Agentic Engineering in Practice
Online
In this webinar, Henrik Kniberg explores what becomes possible when AI agents become active participants in development workflows. Henrik will share lessons and patterns that other teams can adapt to their own context. The session covers how agents can help developers understand large codebases, implement changes, review pull requests, manage releases, and maintain quality. Henrik also discusses the developer’s evolving role and the balance between autonomy and oversight.
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How far can you take agentic engineering in a real development workflow? Most developers use AI in some form, but underestimate what becomes possible once agents become a genuine part of how work gets done.
In this webinar, Henrik Kniberg shows how the Abundly dev team uses AI agents to 10x development productivity and ship a new platform version every day. He shares lessons learned, practical tips, and thoughts on where software engineering is headed.
The session is grounded in a real, large and complex codebase. We look at how to help AI navigate that codebase, keep control of the architecture when agents write most of the code, and maintain quality without accumulating technical debt. We also discuss the balance between agent autonomy and human oversight.
The agents go well beyond writing code. The Abundly team also uses them for backlog and release management. And while the examples come from software development, the underlying pattern applies far beyond engineering: a generalist agent handling a broad range of work, supported by specialists built for specific tasks.
Technically minded attendees will get the most out of this webinar. Less technical attendees are also welcome, and will leave with a clear picture of how agent-driven workflows take shape and what they could mean for their own team.
What you'll experience
- •How to work with AI in a "real" code base (not a small one-off product or prototype)
- •Helping your AI navigate large complex codebases
- •How to keep control of architecture when AI writes all or most of the code
- •How to ensure good code quality and avoid technical debt
- •How to balance agent autonomy with human control and oversight
- •Using AI agents beyond just coding, for things like backlog management and release management
- •What this means for team structure, processes, and the software engineering craft in general
Who should attend
Professional developers
Engineering managers and tech leads who want to understand how AI changes the software development workflow
Curious leaders and team members from outside engineering who want to see how agent-driven ways of working could apply to their own teams
Speakers
Henrik Kniberg
Co-founder & Chief Scientist, Abundly AI
Recording
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