Fin ops

Omnigent: Composition, Control, and Collaboration for AI Agents

Omnigent: Composition, Control, and Collaboration for AI Agents

Denny Lee discusses the industry's shift to meta-harnesses like Omnigent, which enables hot-swappable AI models and agents, illustrated by his personal project of using debating agents to plan a matcha farm in Taiwan. He highlights how "tokenomics" is replaying the CapEx-to-OpEx cost shift, emphasizing the need for developer visibility, central governance, and auto-model selection to manage AI spend. The conversation also touches on the importance of databases for agent memory and accountability in AI-assisted workflows.

The Platform Engineer’s Handbook • Ajay Chankramath & Kaspar von Grünberg • GOTO 2026

The Platform Engineer’s Handbook • Ajay Chankramath & Kaspar von Grünberg • GOTO 2026

This conversation with Ajay Chankramath, author of 'The Platform Engineer’s Handbook,' delves into why practical, code-first guidance is essential for building Internal Developer Platforms. He argues that developer adoption failures stem from a "product discipline gap," not a technology one, emphasizing developer experience as a first-class outcome. The discussion covers the book's arc from foundations to enterprise-grade features and its focus on 100% open-source, vendor-agnostic tooling. Crucially, it highlights how agentic AI raises the stakes for platform engineering, requiring new IDP layers for agent context, memory, and guardrails, asserting that these must be built, owned, and operated internally for safe and productive AI adoption.

Surviving the AI Workforce Shakeup

Surviving the AI Workforce Shakeup

Ben Lorica and Evangelos Simoudis analyze the nuances of AI-driven layoffs, categorizing them into upskilling gaps, automation, and strategic R&D shifts. They also explore the immense pressure for ROI on AI infrastructure investments, leading to the emergence of LLMOps as a form of financial management and the critical need for breaking down organizational silos.