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Thoughtworks Technology Podcast

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The Thoughtworks podcast plunges deep into the latest tech topics that have captured our imagination. Join our panel of senior technologists to explore the most important trends in tech today, get frontline insights into our work developing cutting-edge tech and hear more about how today's tech megatrends will impact you.

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  1. Themes in Technology Radar Vol.35

    Given the remarkable pace of change in software engineering throughout 2026, the latest edition of the Thoughtworks Technology Radar — vol. 35, due to be published November 4 — is an opportunity to take stock of the current state of the ind

  2. A first-hand look at building an agentic platform at Splio

    As fun as it is to discuss new terminology or debate the latest techniques, at some point the rubber needs to hit the proverbial road when it comes to AI. That's where things get really hard: when, say, your new agentic platform collides wi

  3. Data products, data agents and semantic layers: Exploring Microsoft Fabric

    The way we think about and build with data is changing. Data lakehouses have become an industry standard, and conversation is turning to semantic and governance layers as organizations seek to optimize and leverage data for the AI era. Howe

  4. Rethinking the software development process for an era of specs and AI agents

    The agentic era of software engineering began almost a year ago. And while much has changed in 2026, there's still a lot that hasn't been settled. One of the most important issues is how teams should collaborate. The idea of working with a

  5. Open-weight models: What are they and when should you use them?

    We've seen a huge amount of increase in interest around open-weight models in 2026. The reasons for this are multifaceted, ranging from the switch to per token billing, the evolving privacy landscape and improvements in open-weight model ca

  6. AI-generated code: What has to be true for us to trust it without looking at it?

    We've been thinking a lot recently about the status of code in a world where it's increasingly written and read by AI. Could the spec, for instance, become the primary way we interface with software systems? And if it does, will that mean h

  7. Scaling the enterprise harness: How to achieve AI agent controllability across an organization

    Harness engineering is still a new concept, but already we've noticed a challenge being consistently faced by technology leaders: how can a harness be used at scale across an organization to ensure consistency and controllability without un

  8. Embracing hybrid AI: How Lenovo is leveraging local, on-device AI

    Cloud was one of the main drivers of the early waves of AI adoption. However, as AI has become more and more embedded in systems and devices — in both consumer and enterprise contexts — it's becoming a bottleneck. This isn't just about cost

  9. What does the future of software engineering look like?

    At the end of June, Thoughtworks and Martin Fowler convened an unconference-style event in Switzerland with a range of industry leaders. The aim was to reflect on the current challenges and learning around AI assisted and agentic software e

  10. What is code?

    What is code? It might sound obvious, but if you scratch the surface it becomes more difficult to articulate precisely what we mean. AI is complicating the picture further and changing the relationship developers have with code: when large

  11. Database branching: Overcoming the bottlenecks of shared database environments

    Database branching has, for a long time, been a troublesome piece in the modern developer workflow puzzle: a good idea in principle but in practice a slow and often expensive challenge. Get it right and you can accelerate productivity and r

  12. What is spec-driven development?

    Semantic diffusion, combined with the pace of technology change, makes talking about AI-adjacent practices and techniques incredibly diffficult. There are few better examples of this issue than the term 'spec-driven development'. Although i

  13. What is harness engineering?

    'Harness engineering' is one of the most significant terms to emerge in software engineering in 2026. Broadly referring to the work done to control unpredictable AI agents and coding assistants, its use signals growing attention on what nee

  14. Anthropic Mythos: Hype, reality and the actual security implications

    Anthropic Mythos garnered significant attention when it was launched in mid-April 2026. Yet despite it apparently presenting an unprecedented threat to global software, you don't have to look to closely to see that this was an effective pro

  15. Key themes in Technology Radar Vol.34

    In April 2026 we published a new edition of the Thoughtworks Technology Radar — volume 34. Like many recent volumes, this one was dominated by AI. However, while editions over the last couple of years have illustrated the dizzying prolifera

  16. How it feels to be a software engineer when AI is changing our relationship with code

    There's been a lot of discussion and debate in recent months about exactly how software engineering will be reshaped by AI. While it remains to be seen what the discipline will look like once things quieten down (if they ever do), one thing

  17. Be brilliant at the basics: Inside Looking Glass 2026

    The Thoughtworks 2026 Looking Glass report was published in January. Designed to provide business and technology leaders with the tools to better understand and navigate future trends, this edition paid particularly close attention to what

  18. Durable computing: What is it and why now?

    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

  19. Inside AI/works™: An agentic development platform

    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 enginee

  20. Unlearning, experimentation and engineering rigor in an agentic world

    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

  21. Exploring AI agent platforms

    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 Nonnen

  22. Architecture antipatterns and pitfalls: Good intentions, bad habits and ugly consequences

    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 s

  23. Are we entering the 'age of intent' in digital interaction?

    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

  24. 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 challenge

  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 Apr

  26. 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

  27. 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 A

  28. 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 202

  29. 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 Te

  30. 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 s

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