Thoughtworks Technology Podcast

Chris Kramer, AI and machine learning leader at ThoughtWorks, gives a concise mini bio and frames Mythos as a stepwise advance rather than a doomsday AI. He and Nate unpack Project Glasswing, how Mythos surfaced long‑standing bugs, agentic security scans, risks of agentic pipelines, and the organizational and architectural shifts shaping where breakthroughs may come next.

Jim Gumbley, Business Information Security Officer focused on architecture and agentic AI security. Alessio Ferri, software developer expert in platform modernization and harness engineering. They discuss evaluating tech in an agentic world. They cover harness engineering, putting coding agents on a leash, risks of permission-hungry agents and tradeoffs between agent power and blast radius.

Nate Schutta, cloud solution architect and author of Fundamentals of Software Engineering, shares his take on how AI is reshaping the feel of engineering work. He explains why fundamentals and reading code matter more as AI generates bulk code. They talk about AI as an intern, the rise of custom tooling, missing nonfunctional concerns, and why soft skills and judgment will steer future engineering roles.

Rickey Zachary, a platform engineering lead modernizing developer experience and AI-enabled delivery. Thomas Squeo, CTO for the Americas with executive AI and platform strategy perspective. They discuss AI fluency and organizational gaps. They stress mastering core engineering practices, platform fundamentals versus new AI interfaces, developer experience and golden paths, plus data and runtime readiness.

John Coleman, lead consultant with expertise in distributed systems and state recovery. Brandon Cook, principal engineer focused on operationalizing resiliency in event-driven platforms. They define durable computing and state recovery. They compare durable platforms to orchestration patterns, weigh tradeoffs and lock-in, discuss testing and versioning, and explore durable agents for AI and practical pitfalls.

Shodhan Sheth, head of modernization who turns legacy systems into modern designs using AI tools, and Bharani Subramaniam, CTO focused on platform engineering and AI governance, discuss AI/works™. They explore building a repeatable AI platform, bridging code-to-spec and spec-to-code, legacy-system discoverability, guardrails and observability for enterprise AI, and agentic workflows and incremental modernization.

Patrick Debois, DevRel and DevOps platform engineer focused on practical AI adoption and org change. Nathen Harvey, DORA lead at Google Cloud researching delivery performance and AI’s team impact. They discuss how AI amplifies team strengths, shifting roles from producer to agent manager, treating prompts and specs as versioned artifacts, and the rising importance of knowledge and context infrastructure.

Ben O'Mahony, a principal engineer at ThoughtWorks and co-author of the upcoming book on AI agent platforms, joins Fabian Nonnenmacher, a software engineer with a rich Java background turned AI practitioner. They dive into the crucial role of AI agent platforms in future work, discussing definitions of agents and their characteristics. The duo emphasizes extending existing platforms, the importance of observability, and security measures for autonomous agents. They also explore prototyping and the merging of AI engineering roles, offering insights into the evolving tech landscape.

Join Mark Richards, a software architect and author, Raju Gandhi, an expert in practical architecture, and Sarah Gray, an O'Reilly editor, as they delve into the world of architecture anti-patterns and pitfalls. They discuss the importance of recognizing anti-patterns to avoid common mistakes. Discover the difference between alluring anti-patterns and immediate pitfalls, the role of trade-offs in architecture, and how their upcoming book offers a fresh perspective on patterns. They also share insights on their collaborative writing process and the value of in-person retreats.

Sarah Taraporewalla, APAC CTO at ThoughtWorks and author, dives into the 'age of intent,' exploring how AI-driven interfaces will transform digital interactions. She explains the shift from traditional interfaces to intent-based systems, discussing early experiments and the importance of finding discoverability advantages. The conversation highlights the risks of AI hallucinations alongside opportunities to enhance brand trust through tailored data responses. Sarah emphasizes the need for organizations to adapt their architectures and foster experimentation to meet changing customer expectations.