Devops

Realtime multiplayer, automation, and you! — Idan Gazit, GitHub

Realtime multiplayer, automation, and you! — Idan Gazit, GitHub

Idan Gazit, head of GitHub Next, discusses the future of AI in software development, moving beyond personal productivity to enabling group collaboration and advanced automation. He introduces two prototypes: "Agentic Workflows" for autonomous, secure code upgrades and task execution using natural language, and "ACE," a real-time collaborative development environment designed to integrate AI into team workflows, addressing the 95% of development work beyond mere typing.

Front End Testing with GitHub Actions • Amy Kapernick • YOW! 2025

Front End Testing with GitHub Actions • Amy Kapernick • YOW! 2025

This presentation by Amy Kapernick at YOW! Australia 2025 details how to implement robust front-end testing using GitHub Actions. It covers the rationale for comprehensive front-end testing, the necessity of a live deployment preview, and practical steps for automating tests like Lighthouse for performance/accessibility and Playwright for UI validation. The talk also delves into continuous deployment workflows and explores GitHub Actions' broader utility for workflow automation beyond testing, such as generating issues from code comments.

The Dirty Secret of Forward Deployed Engineering — Natalie Meurer, Sierra

The Dirty Secret of Forward Deployed Engineering — Natalie Meurer, Sierra

Natalie Meurer discusses the "dirty secret" of Forward Deployed Engineering (FDE), arguing that its definition has broadened so much it has lost specific meaning, yet remains critical in the age of AI. She traces its evolution at Palantir from pure DevOps to data integration, custom solutions, and enablement, highlighting customer accountability as its enduring core. Meurer contends that as AI makes code cheap, the focus shifts to integrating data, understanding customers, and achieving outcomes—making agent engineering a direct descendant of FDE under a new name, especially evident in the move towards outcome-based pricing models.

How Two French Engineers In New York Built The Company That Monitors The Entire Cloud

How Two French Engineers In New York Built The Company That Monitors The Entire Cloud

Datadog CEO Olivier Pomel shares his journey, emphasizing the company's evolution from a DevOps insight to a public tech giant. He discusses the resilience required to overcome early rejections, his hands-on leadership style focused on raw customer feedback, and how Datadog is rapidly adapting to the AI revolution by prioritizing automation and faster iteration in product development and internal processes. Pomel also offers candid advice on co-founder relationships and the critical importance of moving quickly in both hiring and firing.

Sandboxing, Agent Harnesses, and Agent Teamwork

Sandboxing, Agent Harnesses, and Agent Teamwork

Shahram Anver, CEO of Cleric, details how AI agents for SRE are evolving beyond fast triage to continuous learning and operational memory. He discusses Cleric's architectural shifts, from complex early designs to simpler, sandboxed query agents, and the unique challenges SRE agents face in diverse production environments. A core focus is on human-agent interaction, redefining roles as managers overseeing agents, and how agents learn from unstructured data like Slack to build robust, actionable knowledge for autonomous, self-healing infrastructure. The discussion also touches on the future of software, differentiating between durable systems and rapidly developed "skills" or "vibe-coded" solutions.

6 Ways to Enhance Developer Productivity with AI

6 Ways to Enhance Developer Productivity with AI

Discover how top-performing teams achieve 100-150% productivity gains with AI by strategically restructuring workflows, automating wisely, prioritizing design, fostering deep work, reducing cognitive load, investing in growth, and optimizing tools. This goes beyond mere AI adoption, focusing on human-centric practices and intelligent measurement to drive real impact and retention.