Devops

From Blind Spots to Merged PRs: Continuous Agentic Performance Optimization - May Walter, Hud

From Blind Spots to Merged PRs: Continuous Agentic Performance Optimization - May Walter, Hud

May Walter, CTO of Hud, details a real-world case study on integrating AI agents into the SDLC for continuous performance optimization. The talk covers Hud's runtime intelligence layer, which uses production context to identify and fix high-ROI performance issues like N+1 queries and missing database indexes. It highlights the technical approach, challenges, and the development of a human-friendly reporting system that delivers measurable P90 latency improvements, enabling proactive optimization in mature codebases.

The Green Shift: Transitioning .NET Services Across Architectures • Sara Bergman • GOTO 2025

The Green Shift: Transitioning .NET Services Across Architectures • Sara Bergman • GOTO 2025

Sara Bergman presents a practical guide on migrating .NET services to ARM-based architectures to achieve significant energy efficiency, cost savings, and performance per watt. She details the advantages of RISC over CISC, offers real-world examples, and provides a step-by-step .NET migration journey, emphasizing the importance of staying current with .NET, leveraging compilers, and strategically integrating ARM into development and deployment pipelines.

What do we build now? — Theo Browne, @t3dotgg

What do we build now? — Theo Browne, @t3dotgg

Theo Browne's keynote from AIEWF2026 urges software engineers to fundamentally change product development in response to rapidly evolving AI models (Sonnet 3.5 to Mythos). He advocates for rejecting legacy mental models and tools (skeuomorphism), embracing a new "Markdown tier" for projects, and thinking "wider" instead of just "deeper" by building extensible platforms that can challenge industry giants. The core message is to be more ambitious, as AI has drastically lowered the barrier to entry for complex, broad-reaching solutions.

GitHub’s Agent Era: 14x Commits, 200M Developers, Copilot’s Next Act — Kyle Daigle

GitHub’s Agent Era: 14x Commits, 200M Developers, Copilot’s Next Act — Kyle Daigle

GitHub COO Kyle Daigle discusses the new era of AI agents from the inside. He covers how he uses AI for leadership, the shift from "mega-skills" to "micro-skills," and how GitHub is navigating a 14x growth in commits. The conversation goes deep on the evolution of Copilot, the future of PRs in an agent-driven world, the challenges of scaling, and Microsoft's vision for an ambient AI operating system.

Scaling Agents on Kubernetes with acpx and ACP — Onur Solmaz, OpenClaw

Scaling Agents on Kubernetes with acpx and ACP — Onur Solmaz, OpenClaw

Onur Solmaz from OpenClaw discusses the challenge of managing 300-500 daily, often AI-generated, pull requests. He introduces ACPX, a headless CLI for the Agent Client Protocol (ACP), designed to automate PR triage through a node-based workflow. The talk culminates in a vision for on-demand, disposable agent pods on Kubernetes, managed by a Go operator that provisions and tears down full compute environments per task, wiring them into chat platforms like Slack.

Agents Don't Do Standups: Building the Post-Engineer Engineering Org — Mike Spitz, PFF

Agents Don't Do Standups: Building the Post-Engineer Engineering Org — Mike Spitz, PFF

A case study from PFF reveals how a two-engineer team, by leveraging AI agents, achieved a 25x increase in deployment frequency and 10x the output of a ten-engineer team. CTO Mike Spitz explains their core principle: shifting focus from making engineers faster to making AI agents faster. This talk deconstructs the resulting transformation, which eliminated traditional agile ceremonies like stand-ups and sprint planning in favor of an automated, spec-to-PR workflow, redefining the roles of engineers and processes in a modern software organization.