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Recent episodes
Anthropic Mythos: Hype, reality and the actual security implications
Apr 30, 2026
48m 50s
Key themes in Technology Radar Vol.34
Apr 15, 2026
44m 07s
How it feels to be a software engineer when AI is changing our relationship with code
Apr 2, 2026
41m 17s
Be brilliant at the basics: Inside Looking Glass 2026
Mar 19, 2026
46m 18s
Durable computing: What is it and why now?
Mar 5, 2026
37m 42s
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| Date | Episode | Topics | Guests | Brands | Places | Keywords | Sponsor | Length | |
|---|---|---|---|---|---|---|---|---|---|
| 4/30/26 | Anthropic Mythos: Hype, reality and the actual security implications✨ | AI securitysoftware development+3 | Chris Kramer | Anthropic MythosProject Glasswing+1 | Discord | Anthropic MythosProject Glasswing+3 | — | 48m 50s | |
| 4/15/26 | Key themes in Technology Radar Vol.34✨ | AI technologiessoftware engineering+3 | Alessio FerriJim Gumbley | ThoughtworksTechnology Radar Vol.34 | — | AITechnology Radar+5 | — | 44m 07s | |
| 4/2/26 | How it feels to be a software engineer when AI is changing our relationship with code✨ | software engineeringAI+3 | Nate Schutta | ThoughtworksFundamentals of Software Engineering | — | software engineeringAI+3 | — | 41m 17s | |
| 3/19/26 | Be brilliant at the basics: Inside Looking Glass 2026✨ | AI maturitytechnology trends+3 | Rickey ZacharyThomas Squeo | Thoughtworks2026 Looking Glass | — | AItechnology+5 | — | 46m 18s | |
| 3/5/26 | Durable computing: What is it and why now?✨ | durable computingdistributed systems+3 | Brandon CookJohn Coleman | Thoughtworks | — | durable computingdistributed systems+3 | — | 37m 42s | |
| 2/19/26 | Inside AI/works™: An agentic development platform✨ | AI developmentsoftware engineering+3 | Bharani SubramaniamShodhan Sheth | AI/works™Thoughtworks | — | AI agentssoftware solutions+3 | — | 40m 05s | |
| 2/5/26 | Unlearning, experimentation and engineering rigor in an agentic world✨ | AI agentsengineering rigor+5 | Nathen HarveyPatrick Debois | Google CloudTessl | — | AIengineering practices+5 | Thoughtworks | 39m 20s | |
| 1/22/26 | Exploring AI agent platforms✨ | AI agentssoftware engineering+4 | Ben O'MahonyFabian Nonnenmacher | O'ReillyBuilding AI Agent Platforms | — | AI agentsplatforms+5 | — | 37m 59s | |
| 1/8/26 | Architecture antipatterns and pitfalls: Good intentions, bad habits and ugly consequences✨ | software architectureantipatterns+3 | Mark RichardsRaju Gandhi+1 | O'ReillyArchitecture Patterns, Antipatterns and Pitfalls | — | software architectureantipatterns+3 | — | 35m 22s | |
| 12/23/25 | Are we entering the 'age of intent' in digital interaction?✨ | age of intentdigital interaction+3 | Sarah Taraporewalla | Thoughtworks | — | age of intentdigital interaction+3 | — | 45m 24s | |
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| 12/11/25 | AI-assisted software development in 2025: Inside this year's DORA report | 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 | — | ||||||
| 11/27/25 | We still need to talk about vibe coding: Reflections on 2025's word of the year | 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 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 maintaining AI-generated code, 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, the bad and the ugly of the last 12 months of experimentation is essential if we're to build 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 | — | ||||||
| 11/13/25 | How developers can get the most from new AI coding workflows | 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 | — | ||||||
| 10/30/25 | Themes from Technology Radar Vol.33 | 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. | — | ||||||
| 10/16/25 | What does an AI strategy with humans at the center look like? | 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 | — | ||||||
| 10/2/25 | What we're talking about when we talk about context engineering | 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 (Lead Software Engineer) and Bharani Subramaniam (CTO for India and the Middle East) 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. | — | ||||||
| 9/18/25 | Mean time to shared understanding: Bridging the gap between citizen developers and developers | 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. | — | ||||||
| 9/4/25 | Organizational design and Team Topologies after AI | 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/ | — | ||||||
| 8/21/25 | Context engineering: Tackling legacy systems with generative AI | 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. Doing it, though, requires a specific approach that's being described as 'context engineering'. This is something we've been exploring 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 is teaching 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 | — | ||||||
| 8/7/25 | Navigating AI opportunities at MYOB | 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 | — | ||||||
| 7/24/25 | Caring about documentation in the LLM era (w/ Heidi Waterhouse) | 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/ | — | ||||||
| 7/10/25 | Why the tech industry needs Expert Generalists (w/ Martin Fowler) | 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 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, written with Gitanjali Venkatraman: https://martinfowler.com/articles/expert-generalist | — | ||||||
| 6/26/25 | The three new fallacies of distributed computing | Back in 1994, Peter Deutsch and his colleagues at Sun Microsystems identified what they described 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/ | — | ||||||
| 6/12/25 | MCP and SRE: Why the future of IT operations is agent-driven | 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 | — | ||||||
| 5/29/25 | Unpacking Google I/O 2025 | Google I/O 2025 took place in May. It's always a great opportunity to find out how Google is trying to shape the industry agenda, but this year the predominance of Gemini meant the event was a chance to get a better look at how Google will play its hand in the AI market in the months to come. To dissect the headlines from this year's Google I/O and explore what we can learn about Google's strategic focus — and how the company is thinking about AI — host Ken Mugrage is joined by Andy Yates on the Technology Podcast. As Head of Ecosystems Development at Thoughtworks, Andy plays an important role in helping the organization and its clients undertstand, analyze and engage with the major platforms and vendors. This edition of Google I/O, he explains, was significant and particularly useful for helping us understand how the world is going to be consuming AI products and services as the technology becomes more and more embedded in the mainstream. Read more of Andy's perspective on Google I/O 2025 on the Thoughtworks blog: https://www.thoughtworks.com/insights/blog/technology-strategy/google-io-2025-key-takeaways | — | ||||||
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