Jun 30, 2026

Plenary Talk 3​: Challenges and research opportunities for global hyperscale services

Jim Kleewein's talk outlines the immense challenges and critical research opportunities in building and operating global hyperscale services like Microsoft 365 and Azure. He emphasizes that at this scale, traditional approaches fail, necessitating a "new golden age of applied research" across areas like continuous availability, data management, security, and sustainability. Kleewein also discusses AI's powerful but limited role, stressing the ongoing need for human expertise, and highlights the ethical imperative to prevent failures that can have life-or-death consequences.

Jun 28, 2026

Research to Reality: Bringing Frontier ML Research to Production - Vaidas Razgaitis, Higharc

Vaidas Razgaitis, Senior Research Engineer at Higharc, shares three tactical tips to accelerate the transition of novel AI/ML research into production-ready features. He emphasizes addressing the critical handoff challenge between ML researchers and software engineers through structured documentation (Research Prototype Taxonomy Document), a well-organized monorepo utilizing decoupled microservices, and a systematic approach to code decomposition and PR review. These strategies aim to improve legibility, maintainability, and delivery speed for ML-driven products.

Jun 25, 2026

Full Stack Greenfield Projects : Are they still relevant?

Bharat Goenka, co-founder of Tally, discusses the company's unconventional approach to software development through "Full Stack Greenfield" projects. He explains why building every component from scratch, despite being a high-risk strategy, has been crucial for Tally's success in serving the SMB market, fostering extreme customer loyalty, and aspiring to connect 200 million businesses. The talk delves into the historical context, the philosophy of questioning and choosing constraints, and the distinction between product and custom engineering.

Jun 17, 2026

Growing & Thriving in a Multi-model World • Alberto Brandolini • GOTO 2025

Alberto Brandolini delivers a compelling talk on how to combat software model decay and avoid the "Big Ball of Mud" by strategically applying Domain-Driven Design principles, especially Bounded Contexts. He emphasizes the critical role of visual thinking, structured architectural discussions, and organizational habits in maintaining clean, evolvable systems, particularly when scaling across teams and international markets. The talk highlights the need for continuous design effort, disciplined decision-making, and proactive identification of model boundaries to build resilient software in complex socio-technical landscapes.

May 14, 2026

Why Agentic AI Fails: Infinite Loops, Planning Errors, and More

Agentic AI failures are often predictable system design flaws, not random hallucinations. This summary explores the top three failure modes—infinite loops, hallucinated planning, and unsafe tool use—and provides practical strategies for designing more reliable and robust AI agents.

May 07, 2026

⚡️ Matt Pocock - Why Engineering Fundamentals matter MORE now

Matt Pocock of AI Hero discusses the critical role of classic software engineering principles in the new era of AI development. He explores how concepts like Domain-Driven Design (DDD), deep modules, and intentional architecture are essential for building maintainable systems with AI, and shares his unique teaching philosophy for the rapidly evolving field of AI Engineering.