Thoughtworks

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8月21日

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月21日

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41 分钟
20小时前

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/

20小时前

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43 分钟
8月7日

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

8月7日

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57 分钟
7月10日

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

7月10日

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43 分钟
7月24日

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月24日

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39 分钟
6月26日

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月26日

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47 分钟
6月12日

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

6月12日

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29 分钟
1月23日

AI testing, benchmarks and evals

Generative AI's popularity has led to a renewed interest in quality assurance — perhaps unsurprising given the inherent unpredictability of the technology. This is why, over the last year, the field has seen a number of techniques and approaches emerge, including evals, benchmarking and guardrails. While these terms all refer to different things, grouped together they all aim to improve the reliability and accuracy of generative AI. To discuss these techniques and the renewed enthusiasm for testing across the industry, host Lilly Ryan is joined by Shayan Mohanty, Head of AI Research at Thoughtworks, and John Singleton, Program Manager for Thoughtworks' AI Lab. They discuss the differences between evals, benchmarking and testing and explore both what they mean for businesses venturing into generative AI and how they can be implemented effectively. Learn more about evals, benchmarks and testing in this blog post by Shayan and John (written with Parag Mahajani): https://www.thoughtworks.com/insights/blog/generative-ai/LLM-benchmarks,-evals,-and-tests

1月23日

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36 分钟
7月30日

From bronze bullets to big impact: AI-first software delivery

Join Thoughtworks CTO Rachel Laycock for a candid look at what AI-first software delivery really means, beyond the buzzwords. In this episode, she discusses how this emerging technology is reshaping software development life cycles, and how it can be used to tackle the most complex modernization challenges. If you’re navigating the fast-changing landscape of tech strategy, this one’s for you. Host: Kimberly Boyd Guest: Rachel Laycock, CTO at Thoughtworks

7月30日

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38 分钟
5月29日

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

5月29日

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30 分钟

We’re a global software consultancy solving complex problems with technology. We connect strategy and execution, helping our clients to strengthen their core technology, scale with flexibility and create seamless digital experiences. We partner with our clients to continuously evolve their tech and enable an adaptive mindset to meet their business goals.

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Thoughtworks

热门节目排行

Context engineering: Tackling legacy systems with generative AI

Organizational design and Team Topologies after AI

Navigating AI opportunities at MYOB

Why the tech industry needs Expert Generalists (w/ Martin Fowler)

Caring about documentation in the LLM era (w/ Heidi Waterhouse)

The three new fallacies of distributed computing

MCP and SRE: Why the future of IT operations is agent-driven

AI testing, benchmarks and evals

From bronze bullets to big impact: AI-first software delivery

Unpacking Google I/O 2025

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