Software engineering is your company's largest investment — and most of it is now flowing into AI tooling, coding agents, and automation. But here's the uncomfortable truth: most engineering orgs have no idea if it's working.

In the AI era, the organizations that win aren’t necessarily the ones who adopt AI the fastest. They'll be the ones who can measure it, improve it, and trust it. That requires a fundamentally new approach to the software development — one that's built for humans and agents working their best together.

In this session, we'll demo DX's latest AI Measurement and AI Enablement solutions, showing how observability, context, and governance come together to create a continuous self-improvement loop for agentic development. This includes:

• Measuring agent effectiveness and finally answer "is our AI investment paying off?"
• Diagnosing and eliminating friction in your AI-assisted workflows before it slows your teams down
• Feeding agents the right context and guardrails so they don't just act — they improve over time
• Tracking AI spend and token usage across every tool and model to validate ROI and optimize every dollar

Whether you're just starting to scale AI adoption across your teams, or are already running autonomous agents in production, this session will show you what a self-improving SDLC looks like in practice — and how DX engineering intelligence makes it all possible.