Coding agents have already changed how fast your teams can write software. What they haven't changed is how fast that code actually reaches your customers. Review, build, test, security, and deployment are still running at human speed, and that gap is quietly becoming the biggest bottleneck in the enterprise.

This is the promise, and the requirement, of the Autonomous SDLC: a software delivery lifecycle where ideas reach customers without waiting on humans to move changes between stages. It's not a future state. It's happening in production environments today.

Join Harness for a look at how the Software Delivery Agent takes every code, infrastructure, and database change safely through production, at machine speed, under the policies your team defines. We'll walk through the architecture that makes this possible (not a chatbot bolted onto CI/CD, but governed AI reasoning and execution built on real context) and then show it live: how a change gets reviewed, built, verified, and deployed autonomously, with a full audit trail, in minutes rather than days.

You'll leave with a clear picture of what autonomous delivery actually looks like in practice, and where to start on your own path there.

Key Takeaways:

• Why code creation speed and code delivery speed have diverged, and what that gap is costing engineering organizations

• The four things a delivery agent actually needs (memory, context, tools, and verification) to safely act on its own

• How Risk Based Autonomy lets you choose where automation runs hands-off, where a human stays in the loop, and where a fixed path is required

• A live demo of the Software Delivery Agent moving a real change from commit to production