InfoQ Homepage Presentations
-
Platform Teams Enabling AI - MCP/Multi-Agentic Tools Across Linkedin
LinkedIn’s Karthik Ramgopal and Prince Valluri explain how to scale engineering with agentic AI. They discuss building centralized platform foundations for orchestration, tooling, and context.
/presentations/ai-multi-agentic-tools/en/mediumimage/medium-1779867927919.jpg)
-
Architecting a Centralized Platform for Data Deletion at Netflix
Netflix Engineers Vidhya Arvind and Shawn Liu discuss the pillars of safe, large-scale data deletion. They explain strategies to eliminate data ghosts and manage tombstone resource contention.
/presentations/architecting-deletion-system/en/mediumimage/medium-1779869686290.jpg)
-
Choosing Your AI Copilot: Maximizing Developer Productivity
Coinbase ML Platform Engineer Sepehr Khosravi discusses the state of AI-assisted development. He explains how to maximize productivity using advanced techniques in Cursor and Claude Code.
/presentations/choosing-ai-copilot/en/mediumimage/medium-1779867439150.jpg)
-
The Human Toll of Incidents & Ways To Mitigate It
Kyle Lexmond discusses the human side of major system failures. He shares psychological insights and architectural tactics for surviving high-pressure incident rooms.
/presentations/incident-response-mitigate/en/mediumimage/kyle-lexmond-medium-1779869148329.jpg)
-
Theme Systems at Scale: How To Build Highly Customizable Software
Shopify Staff Engineer Guilherme Carreiro explains how to scale highly customizable software platforms. He shares architectural strategies for balancing deep design flexibility with peak performance.
/presentations/liquid-theme-system-dsl/en/mediumimage/medium-1779863262373.jpg)
-
Building Evals for AI Adoption: from Principles to Practice
Mallika Rao explains how evaluation debt silently triggers regressions in distributed AI systems. She shares a five-layer evaluation stack to align metrics directly with long-term user trust.
/presentations/eval-ai-adoption/en/mediumimage/medium-1779185675202.jpeg)
-
From Founding Engineer to CTO to CEO – at the Same Startup
Trisha Ballakur explains how to transition from hands-on software engineering to founder and C-suite roles. She shares tactical lessons on customer discovery, delegation, and leveraging open source.
/presentations/framework-best-practices-startup/en/mediumimage/medium-1779194881438.jpeg)
-
Designing AI Platforms for Reliability: Tools for Certainty, Agents for Discovery
Aaron Erickson explains how to balance deterministic systems with stochastic AI agents. He shares lessons from NVIDIA on building purpose-built agent hierarchies and scaling robust evals.
/presentations/ai-platforms-reliability/en/mediumimage/medium-1779182751443.jpg)
-
Realtime and Batch Processing of GPU Workloads
Joseph Stein explains how to build a highly available private AI cloud. He shares blueprints on scaling vLLM on enterprise GPUs, implementing gateway guardrails, and optimizing batch workloads.
/presentations/realtime-gpu-workloads/en/mediumimage/medium-1779194310932.jpg)
-
From Legacy to Sovereignty: Driving the Future of Insurance through Platform Engineering
Sergiu Petean explains how to navigate the evolution from legacy systems to platform engineering. He shares data-driven insights on balancing DORA metrics, compliance, and strategic AI integration.
/presentations/insurance-platform-engineering/en/mediumimage/sergiu-petean-medium-1779181418266.jpeg)
-
AI Native Engineering
Ian Thomas discusses Meta’s shift to AI-native engineering. He shares how Reality Labs reduced toil and grew an AI productivity community to 400+ members, boosting tool adoption to over 80%.
/presentations/ai-native-engineering/en/mediumimage/medium-1778664122266.jpeg)
-
The Ironies of A^2 I^2
J. Paul Reed explains the "ironies of automation" and AI in incident response. He discusses how reliance on AI can erode manual skills and camouflage system failures during high-stakes outages.
/presentations/automation-incidents-ai/en/mediumimage/medium-1778662652640.jpg)
/presentations/ai-multi-agentic-tools/en/mediumimage/medium-1779867927919.jpg)
/presentations/choosing-ai-copilot/en/mediumimage/medium-1779867439150.jpg)
/presentations/eval-ai-adoption/en/mediumimage/medium-1779185675202.jpeg)
/presentations/ai-platforms-reliability/en/mediumimage/medium-1779182751443.jpg)
/presentations/architecting-deletion-system/en/mediumimage/medium-1779869686290.jpg)
/presentations/incident-response-mitigate/en/mediumimage/kyle-lexmond-medium-1779869148329.jpg)
/presentations/framework-best-practices-startup/en/mediumimage/medium-1779194881438.jpeg)
/presentations/realtime-gpu-workloads/en/mediumimage/medium-1779194310932.jpg)
/presentations/liquid-theme-system-dsl/en/mediumimage/medium-1779863262373.jpg)
/presentations/insurance-platform-engineering/en/mediumimage/sergiu-petean-medium-1779181418266.jpeg)
/presentations/product-cloud-native/en/mediumimage/CatMorrisStephaneDiCesare-medium-1778661429675.jpg)
/presentations/streaming-application-aws-infrastructure/en/mediumimage/medium-1778061840987.jpg)