Signals: DevTalk with Michael Dowden

Welcome to Signals, the podcast where we step back from the hype to really look at what's shaping technology and the industries around it. In each episode, we talk with industry experts to surface real trends, question our assumptions, and unpack why things work the way they do today. We're not just focused on what's new, but on the decisions, defaults, and debates that got us here, and what they might mean in the long run.

Signals: DevTalk with Michael Dowden

Latest episodes

 30 Years of PHP: Guarding the Core Infrastructure

30 Years of PHP: Guarding the Core Infrastructure

55m 33s

In this episode, host Michael Dowden sits down with Sebastian Bergmann, the creator of PHPUnit, to discuss the evolving landscape of open-source software development. Bergmann shares details on upcoming features in PHPUnit 13.3 designed to tackle flaky tests. The conversation delves deeply into modern supply chain security, highlighting recent changes in Composer's dependency handling and the necessity of automated dependency hygiene. Bergmann also addresses the dual-edged sword of AI in engineering—explaining how AI tools are driving an onslaught of security reports while warning against the dangers of developer "de-skilling." Finally, they examine the long-term financial sustainability of open-source projects and...

The Agentic Enterprise: Bridging the Gap Between API Management and AI Innovation

The Agentic Enterprise: Bridging the Gap Between API Management and AI Innovation

49m 40s

In this episode, host Michael Dowen sits down with API strategy expert Dr. Matthias Biehl to discuss how the Model Context Protocol (MCP) serves as the missing link connecting generic Large Language Models (LLMs) to real-time, proprietary enterprise data and systems. The discussion explores the architectural shift from passive LLMs to active, real-time AI agents that are capable of interacting with their environments and collaborating via Agent-to-Agent (A2A) protocols. Dr. Biehl outlines how enterprises can seamlessly upgrade their existing REST API investments—specifically process and context APIs—into MCP interfaces without massive technical reengineering. Crucially, the episode highlights how organizations can overcome...

Balancing LLMs, Computer Vision, and Engineering Trade-offs

Balancing LLMs, Computer Vision, and Engineering Trade-offs

52m 46s

In this live podcast episode, host Michael Dowden sits down with Pieter Buteneers, CTO of the legal tech workspace Emma, and Martin Stypinski, founder of the computer vision consulting firm VMG. The conversation bridges two distinct areas of artificial intelligence: highly deterministic, traditional computer vision applications and the rapidly evolving world of Large Language Models (LLMs). Together, they argue that AI is an accelerator rather than a solution in itself. The true value of any technology company lies in a deep understanding of the customer's problem and the user experience built around solving it.

The Shift from Kubernetes and DevOps to Platform Engineering

The Shift from Kubernetes and DevOps to Platform Engineering

38m 24s

In this episode, Michael Dowden sits down with Google Developer Advocate Abdellfetah Sghiouar to explore the current state and history of Kubernetes, tracing its 11-year evolution from a Google open-source project to a mature industry standard. The discussion delves into the rise of platform engineering and internal development platforms (IDPs), which aim to provide developers with higher-level abstractions that hide underlying infrastructure complexities. Looking ahead, they analyze emerging trends such as the swing between cloud and on-premise infrastructure, the growth of edge computing, and the integration of AI into development workflows.