AI can help teams write more code, faster. But the real question is whether that code is safe, useful, aligned to intent, and ready to deliver the business outcomes teams promised.

In this session, we will showcase a new class of “right of code” DevAI agents that help software teams move beyond raw coding productivity. Through a live demo of AI Planner, Reviewer and an SRE agent working together, we will show how agents can learn from incidents, pull request feedback, human reactions, and past performance, then distill those learnings into memories and standards that improve future reviews and operational readiness.

We will also demonstrate how agentic QA can evaluate software changes against human intent, not just code diffs. By combining Jira requirements, AI planning, app experience walkthroughs, and design system checks, DevAI agents can flag gaps between what was built and what the business or user actually needed, then prompt coding agents to fix the issues. The result is a self-improving delivery loop that helps teams reduce reactive grind, improve quality, and ship changes with greater confidence.

Attendees will see how AI agents can help teams ship with more confidence by reviewing not just the code, but the impact of the change on users, systems, and business goals.

Key takeaways:
- Self-improving agents: Learn how AI Reviewer and SRE agents can turn incidents, reviews, and human feedback into reusable standards and memories that improve over time.
- Intent-driven review and QA: See how DevAI agents can evaluate product experiences against Jira plans, requirements, and design systems, not just against code diffs.
- Less reactive grind: Understand how “right of code” agents can reduce wasted effort, surface risks earlier, and help teams focus on customer and business impact.