Hannah Foxwell shares how the surge of agentic coding forces engineering leaders to rethink team dynamics. She discusses three key anchors for navigating AI-driven velocity: building software...

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Ben Maraney shares how Forter demystified AI agent creation for technical and non-technical staff. He discusses leveraging custom MCP servers, combining no-code and code-based platforms,...

How does business ownership compare with owning a sports team? Baltimore Orioles owner David M. Rubenstein explains the leadership mindset, culture building, and long-term thinking that team...

Chris Richardson discusses leveraging Team Topologies and internal platforms to accelerate microservices delivery. He explains six key platform patterns - from security and observability to build...

AI is an amplifier; strategic focus on the organizational system brings the greatest returns. DORA's 2025 research on AI in software development provides team profiles and success capabilities...

When a new platform team set out to implement their roadmap through forced workflows with poor documentation, developer experience declined. Success came from simplifying governance, prioritizing...

Davide de Paolis discusses the realities of rolling out cloud infrastructure compliance without fracturing developer relations. Drawing from a real-world platform team reboot at Sevdesk, he...

Raj Ummadisetty and Ken Kurzweil share Netflix's architectural pivot to CloudStream, a repeatable capture, conversion, and deployment framework. They discuss shifting key-value abstractions from...

In this podcast, Shane Hastie, Lead Editor for Culture & Methods spoke to Craig McLuckie, co-creator of Kubernetes and CEO of Stacklok, about the impact of AI coding tools on open source...

文章探讨了在AI编程团队中管理代码质量的方法，强调从“审查代码”转向“验证行为”。借鉴马斯克、黄仁勋和雷军的管理理念，提出建立验证体系、关注用户反馈和快速迭代的重要性。通过与AI的讨论、决策和文档审查，确保系统的可靠性和质量，构建可扩展的质量保障体系，使AI高效工作。