Autonomy AI: Helping Product Teams Contribute to Enterprise Codebases

Autonomy AI co-founder and CTO Tamuz Dubnov explains how the company helps product managers and designers work with existing enterprise codebases, and why simply giving non-developers coding agents can create friction. The conversation covers the product’s approach, a live walkthrough, and questions from the hosts about engineering ownership and risk.

■ Product workflow and demo
- How agents use codebase context, product signals, design systems, and safeguards to support feature work
- A walkthrough of prototyping, preview environments, collaboration, and pull-request creation
■ Adoption and trade-offs
- Enterprise integrations, deployment and model options, and the company’s context engine
- Discussion of task risk, code maintenance, engineering review, and where non-technical contributors fit

For product managers, designers, and engineering leaders evaluating agent-assisted development, this offers an overview of Autonomy AI’s intended use and workflow. Consider trying it on a low-risk task and assessing how its output fits your team’s review and maintenance practices.