Thoughtworks Technology Podcast

Managing distributed systems and complex workflows can be challenging. What happens when something fails? If a task isn't executed to completion, that can lead to serious problems. From transaction and billing failures to deploying software, even small issues can have significant consequences. This is one of the reasons for durable computing. Designed to isolate code from crashes, it preserves state so a task is completed even when something fails. To discuss durable computing, explore why it matters today and how we've been using it at Thoughtworks, Brandon Cook and John Coleman join host Alexey Boas on the Technology Podcast. They dive into the current platform ecosystem and what it means for developers — and requires of them. They also talk about the value of durable computing for AI, explaining why the concept of 'durable agents' offers an important of avenue of investigation in a world eager to embrace agentic systems. Learn more about durable computing in this blog post from July 2025: https://www.thoughtworks.com/insights/blog/cloud/durable-computing-making-easier-resilience-distributed-systems

In January 2026, Thoughtworks launched AI/works™, an agentic development platform. It promises to make the capabilities of AI agents a reality for the enterprise, helping in areas including understanding complex legacy code, forward engineering new software solutions and agent governance. How, though, does it actually work in practice? And what does it mean for the organizations and teams Thoughtworks works with? In this episode of the Technology Podcast, new host Rickey Zachary is joined by Bharani Subramaniam (CTO for Thoughtworks India and the Middle East) and Shodhan Sheth (Head of Enterprise modernization, Platforms and Cloud) to discuss AI/works™, taking in how the platform emerged from a number of recent Thoughtworks projects to how it's delivering value to businesses today. As well as an inside perspective on Thoughtworks' new platform, the episode also offers a deep and timely exploration of questions and challenges the rapid rise of AI agents in software engineering has surfaced across every part across industry. Learn more about AI/works™: https://www.thoughtworks.com/ai/works

In a world that's being transformed by AI agents and agentic systems, how do software developers unlearn what they know while also maintaining engineering rigor? In an in-person conversation with Nathen Harvey, Developer Relations Engineer at Google Cloud, and Patrick Debois, Developer Relations at Tessl, host Ken Mugrage dives into the ways individuals, teams and organizations are walking the line between experimentation and well-established engineering practices as they seek to innovate while ensuring resilience, reliability and security. Thoughtworks is a platinum sponsor of the 2025 DORA report: https://www.thoughtworks.com/en-us/insights/reports/the-2025-dora-report

If AI agents really are the future of how work will be done — in software engineering and beyond — the platforms on which they are built, run and maintained will be crucial. This is a topic two Thoughtworkers, Ben O'Mahony and Fabian Nonnenmacher, are currently writing about. Although not due to be published until early 2027, the first two chapters of Building AI Agent Platforms is now available as part of O'Reilly's Early Release scheme. Its goal is to provide readers with a complete roadmap for developing AI agent platforms, from agent development to architectural principles to observability and governance. In this episode of the Technology Podcast, the authors speak to regular host Ken Mugrage about the book, why agent platforms are a critical part of any AI strategy and some of the challenges of developing and maintaining them. Listen for an early look at what looks set to be a valuable book in the world of AI development and to gain a clearer perspective on what agentic AI really means at the start of 2026. Learn more about Building AI Agent Platforms: https://www.oreilly.com/library/view/building-ai-agent/0642572243906/

You can grasp the basics of software architecture by learning design patterns but you probably won't master it — to do that you have to get to grips with antipatterns too. Often these lessons are hard-won through experience, derived from seeing what happens when architectural decisions (or the lack of them) collide with the messy reality of the real world. While there's obviously no replacement for practical experience, Neal Ford, Mark Richards and Raju Gandhi want to share theirs to give architects the opportunity to avoid common antipatterns and pitfalls and make smarter decisions. That's what they're doing with their forthcoming book (due September 2026) Architecture Patterns, Antipatterns and Pitfalls. On this episode of the Technology Podcast, host Neal is joined by his co-authors and their editor from O'Reilly, Sarah Grey, to discuss the book and to explore why getting to know on antipatterns and pitfalls matters as much as learning design patterns. Learn more about Software Architecture Patterns, Antipatterns and Pitfalls: https://www.oreilly.com/library/view/software-architecture-patterns/0642572221119/ Listen to Neal and Mark discuss the various intersections of software architecture on an episode of the Technology Podcast from 2025: https://www.thoughtworks.com/insights/podcasts/technology-podcasts/exploring-intersections-software-architecture

The 'age of intent' is a phrase that's been around for a number of years. However, with the rise of AI agents in 2025 it has the potential to become a key trend for 2026. It describes a new way of thinking about digital interaction in which the gap between human intention and output are reduced even further through AI assistance. Thoughtworks' APAC CTO Sarah Taraporewalla has been exploring the age of intent in recent months; she's written a series of blog posts that tackle what this new phase of digital interaction means for businesses and how they can prepare themselves. On the latest episode of the Technology Podcast, Sarah joins host Lilly Ryan to discuss the concept the age of intent and its implications for the future of digital experiences. Read Sara Taraporewalla's series on the age of intent: The interface is dead. Time for the age of intent: https://www.thoughtworks.com/insights/blog/generative-ai/the-interface-is-dead-time-for-the-age-of-intent From prototype to transformation: https://www.thoughtworks.com/insights/blog/generative-ai/the-age-of-intent-from-prototype-to-transformation What it takes to become an intent-ready organization: https://www.thoughtworks.com/insights/blog/generative-ai/the-age-of-intent-from-prototype-to-transformation Rethinking value in the AI economy: https://www.thoughtworks.com/insights/blog/generative-ai/the-age-of-intent-rethinking-value-in-AI-economy

This year's DORA report focuses on AI-assisted software development. While one of the key themes is just how ubiquitous AI is today in software engineering, that's only part of the picture. In fact, the report outlines many of the challenges the adoption of these technologies are posing and explores the barriers and obstacles that need to be addressed to ensure AI-assistance leads to long-term success. In this episode of the Technology Podcast, host Ken Mugrage is joined by Chris Westerhold — Global Practice Director for Engineering Excellence at Thoughtworks — to discuss this year's DORA report (for which Thoughtworks is a Platinum sponsor). They dive into some of the reports findings, and explore the risks of increasing throughput, the changing demands on software developers, the importance of developer experience and how organizations can go about successfully measuring AI impact. You can find the 2025 DORA report here: https://cloud.google.com/resources/content/2025-dora-ai-assisted-software-development-report Read Chris Westerhold's article on this year's findings: https://www.thoughtworks.com/insights/articles/the-dora-report-2025--a-thoughtworks-perspective

Vibe coding was, remarkably, named word of the year by the Collins English Dictionary at the start of November 2025 — pretty good going for a term that was only coined in February. We first discussed it on the Technology Podcast back in April, and, given its prominence in the collective lexicon this year, thought we should revisit and reflect on the topic as 2025 draws to a close. Lots has certainly happened in the intervening months: MCP adoption, the evolution of agentic coding tools and practices like context engineering have had a significant impact on the way the world is thinking about and using AI. To talk about it all and reflect on the implications, Thoughtworkers and regular podcast hosts Prem Chandrasekaran, Lilly Ryan and Neal Ford reconvened for a follow up to our April conversation. Taking in everything from the term's semantic slipperiness, its security risks and the challenges of maintenance, this is a discussion that, despite going deep into vibe coding, also touches on a huge range of issues in the technology industry today. Before we enter 2026, looking back on the good, bad, the ugly of the last 12 months of experimentation are essential to building better software for the world in the future; this episode aims to be a guide through that process. Listen to our April episode on vibe coding: https://www.thoughtworks.com/insights/podcasts/technology-podcasts/vibe-coding Read Ken Mugrage's blog post exploring the shift from vibe coding to context engineering in 2025: https://www.thoughtworks.com/insights/blog/machine-learning-and-ai/vibe-coding-context-engineering-2025-software-development

One of the biggest stories in software engineering in 2025 is the impact of generative AI on the software development lifecycle. From advances in coding assistance to the emergence of so-called agentic coding, there's undoubtedly a lot for software developers to process, learn and experiment with — not to mention rapid change to contend with. On this episode of the Technology Podcast, host Ken Mugrage is joined by Brandon Cook to discuss not only how AI has been shaping the way software developers work but how developers can play an active role in ensuring the technology is leveraged safely and successfully. Taking in everything from sensible defaults and best practices to evaluating how much autonomy you should give up to an agent in any given problem, this episode offers both a snapshot of where we are today and the role we all have to play in deciding what the future will look like. Explore the Thoughtworks Technology Radar: thoughtworks.com/radar Listen to Brandon's last appearance on the Technology Podcast from July 2024: https://www.thoughtworks.com/insights/podcasts/technology-podcasts/sensible-defaults-way-think-technology-practices

In every Thoughtworks Technology Radar we feature three to five themes that represent the core issues and topics that emerged from the conversations we had when putting the publication together. This time (Fall 2025) they're all united by AI. They are: infrastructure automation arriving for AI, the rise of agents elevated by MCP, AI coding workflows and emerging AI antipatterns. On this episode of the Technology Podcast, Bryan Oliver joins Neal Ford and Ken Mugrage to discuss all four of volume 33's themes. They dive into what they mean, how the team arrived at them and what they tell us about the state of software engineering and AI in 2025. Read the latest Thoughtworks Technology Radar: thoughtworks.com/radar Volume 33 will be published November 5, 2025.

Everyone knows an AI strategy is important — but how do you build one with humans at the center? That's a question Tiankai Feng, Thoughtworks Global Director for Data and AI Strategy, has been pondering ever since the publication of his 2024 book Humanizing Data Strategy. Now, just over a year later, he's outlined his thinking in a follow-up, Humanizing AI Strategy. With the subtitle "leading AI with sense and soul," it's a practical and thoughtful guide aimed at helping the industry rethink the way AI is embedded and leveraged across organizations. In this episode of the Technology Podcast, Tiankai joins host Prem Chandrasekaran to discuss his new book. He explains why he wrote it, how it compares to his first book and discusses the framework it puts forward. Listen for a fresh perspective on AI in business and some practical strategies for leaders to bring purpose and conscience to AI initiatives. Learn more about Humanizing AI Strategy: https://www.thoughtworks.com/insights/books/humanizing-ai-strategy Read a Q&A with Tiankai: https://www.thoughtworks.com/insights/blog/data-strategy/how-put-human-center-ai

Everyone seems to be talking about context engineering. That was certainly the case in our recent discussions for the upcoming edition of the Technology Radar (volume 33, due early November 2025). And although we ran into the term on the Technology Podcast just a few weeks ago, we thought it would be useful to try and tackle exactly what people are talking about when they talk about context engineering. We know context is important when it comes to AI, but what does it mean to engineer it? On this episode of the Technology Podcast, host and Thoughtworks CTO Rachel Laycock is joined by Thoughtworkers Alessio Ferri and Bharani Subramaniam to discuss what context engineering is, how it's being done and what it tells us about the evolution of AI. This certainly won't be the last word — ours or anyone else's — on context engineering, but it might help clarify and cement your understanding as the term comes to dominate technology conversations.

Although the concept of the 'citizen developer' isn't new, with the rise of AI the relationship between those building software without much technical experience and seasoned software developers is becoming more significant. That's not to say there's conflict exactly, but there are often competing interests and demands — which can lead to tension, organizational friction and governance challenges. On this episode of the Technology Podcast, host Ken Mugrage facilitates a debate (of sorts) between Christopher Hastings, Global Tech Product Lead at Thoughtworks (and citizen developer) and Scott Davies, Head of Technology for Thoughtworks Europe (very much in the developer camp). They discuss the needs and interests of both sides, how to avoid regressing to the dark ages of shadow IT and how citizen developers can be properly empowered by engineering teams.

Managing technological change in an organization — particularly a large and complex one — has always been challenging. But thanks to the rapid adoption of AI in all kinds of spheres, from knowledge management to software development to content creation, it's becoming more difficult than ever. How do you strike a balance between governance and safety and autonomy and empowerment? How should teams be structured and how should they work together? In this episode of the Technology Podcast, Matthew Skelton and Manuel Pais — authors of the influential Team Topologies book — join hosts Birgitta Böckeler and Ken Mugrage to discuss what AI means for organizational design. They discuss how AI is changing team capabilities, what it means for cognitive load and knowledge sharing, and how to ensure there's structure and control without constraining experimentation and creativity. With the second edition of Team Topologies set to be published in September 2025, Matthew and Manuel used the conversation to explore the evolution of their ideas and what they've learned from working with and listening to the stories of many different organizations around the world. Learn more about Team Topologies: https://teamtopologies.com/

Generative AI can be incredibly powerful when it comes to legacy modernization. Not only can it help us better understand a large, aging codebase, it can even help us reverse engineer a legacy system when we don't have access to the complete source code. That might sound ambitious but it's something we've been experimenting with a lot in recent months at Thoughtworks. On this episode of the Technology Podcast, Thoughtworks' lead for AI-enabled software engineering, Birgitta Böckeler, and tech principal Chandirasekar Thiagarajan join hosts Ken Mugrage and Neal Ford to discuss how it works. They explain the process, the tools and what the work taught them about both generative AI and legacy modernization. Read Birgitta's blog post on reverse engineering with AI: https://www.thoughtworks.com/insights/blog/generative-ai/blackbox-reverse-engineering-ai-rebuild-application-without-accessing-code

How should businesses go about actually navigating AI? It's one thing to strategize and generate new ideas, but what needs to be done to put it into practice in a way that's effective and commercially impactful? In this episode of the Technology Podcast, new host Nigel Dalton is joined by his Thoughtworks colleague May Xu — Head of Tech for Thoughtworks APAC — and Simon Noonan, CTO at Australian business software company MYOB. Thoughtworks has been working closely with MYOB for a number of years now; May and Simon explain how they collaborate and offer their perspectives on everything from leadership to architecture in a world where AI has become imperative. Learn more about Thoughtworks' partnership with MYOB: https://www.thoughtworks.com/clients/myob

In an age of vibe coding and LLMs, do we really need to care about documentation? Do we need to spend time and energy producing it — time when we could just be shipping code? Of course we do; particularly if we want to communicate and share software with other humans. To discuss documentation in 2025, Technology Podcast host Lilly Ryan is joined by Heidi Waterhouse, a very special guest with an esteemed and varied career in technical communcation. In this episode, Lilly and Heidi tackle the challenges of documentation in a world increasingly infused with AI-generated code and text, explore whether prompt engineering is really just technical writing in disguise and examine the difficulties of writing for highly specific audiences. They also cover Heidi's Progressive Delivery, an upcoming book about bridging the gap between software delivery and business value. It's due to be released in the latter part of 2025 and written alongside James Governor, Kim Harrison and Adam Zimman. Find out more about Heidi Waterhouse by visiting her website: https://heidiwaterhouse.com/ Learn more about Progressive Delivery: https://itrevolution.com/product/progressive-delivery/

The technology industry has embraced specialisms — not just in different fields or job roles, like web development or security, but even in terms of particular platforms or stacks. But are we losing something as every tech professional is forced to push themselves into increasingly smaller niches? Martin Fowler and Unmesh Joshi think so. They've been thinking a lot about the importance of what they call "Expert Generalists" — professionals who can "can dissect unfamiliar challenges, spot first-principles patterns, and make confident design decisions with the assurance of a specialist." In this episode of the Technology Podcast, Martin and Unmesh join hosts Prem Chandrasekaran and Lilly Ryan to discuss how they came to identify the importance of expert generalists and why it was important to not just talk about the issue, but to explicitly name it. They also explore how they believe the industry can cultivate and encourage expert generalists, despite an entrenched tendency to overlook their value. Read Martin and Unmesh's article: https://martinfowler.com/articles/expert-generalist

Back in 1980, Peter Deutsch and his colleagues at Sun Microsystems identified what they deascribed as the "eight fallacies of distributed computing" — flawed assumptions that often get made when teams move from monolithic to distributed software architectures. In recent years, software architecture experts and regular writing partners Neal Ford and Mark Richards have identified a further three new fallacies of distributed computing: versioning is easy; compensating updates always work; and observability is optional. In this episode of the Technology Podcast, Neal and Mark join host Prem Chandrasekaran to talk through these three new fallacies, before digging deeper into other important issues in software architecture, including modular monoliths and governing architectural characteristics. Listen for a fresh perspective on software architecture and to explore key ideas shaping the discipline in 2025. Learn more about the second edition of Neal and Mark's Fundamentals of Software Architecture: https://www.oreilly.com/library/view/fundamentals-of-software/9781098175504/

What if your AI agents could think more like IT operations staff — and less like tools? In this episode, we catch up with Zichuan Xiong, to explore the Model Context Protocol (MCP) — a powerful new way to give AI agents deeper awareness of the tools, information and history they need to work effectively in the operations space. Unlike traditional APIs that just trigger functions, MCP adds a semantic layer of context that helps AI understand what to do, why it matters and how to do it better. Whether you’re deep in site reliability engineering (SRE) or just curious about the next leap in AIOps, this episode unpacks how MCP could be the missing layer between today’s tools and tomorrow’s autonomous systems. If you want to find out more, check out this piece by Zichuan at al, https://www.thoughtworks.com/insights/blog/machine-learning-and-ai/mcp-critical-ai-driven-sre