Thoughtworks Technology Podcast
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.
Episodes
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 remove bottlenecks; get it wrong and you're potentially creating all sorts of trouble for yourself, from privacy risks to additional complexity. However, things
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 it's not new — its coinage precedes our current AI moment — it has become ubiquitous over the last six months or so as software professionals attempt to develop
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 needs to be done to make agents reliable and consistent enough for production software in the real-world. On this episode of the Technology Podcast, Birgitta Böcke
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 product launch as much as a story about the grave security risks of today's AI models. But this isn't to say there aren't important implications for software deve
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 proliferation of AI-related technologies, vol.34 indicates a degree of evolution in the field, demonstrated by a focus on consistency, reliability and mitigating the col
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 has been somewhat neglected: what does software engineering actually feel like in this AI-intensive environment? If we're no longer writing code, or even inter
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 organizations need to do to reach a level of AI maturity that will effectively unlock an operational and commercial edge. Taking in everything from AI-assisted
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, even small issues can have significant consequences. This is one of the reasons for durable computing. Designed to isolate code from crashes, it preserves sta
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 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 Thoughtw
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 at Google Cloud, and Patrick Debois, Developer Relations at Tessl, host Ken Mugrage dives into the ways individuals, teams and organizations are walking the lin
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 Nonnenmacher, are currently writing about. Although not due to be published until early 2027, the first two chapters of Building AI Agent Platforms are now available
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 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
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 the gap between human intention and output are reduced even further through AI assistance. Thoughtworks' APAC CTO Sarah Taraporewalla has been exploring the ag
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 suc
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 happen
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 Mug
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
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 w
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 engin
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.
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 b
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 r
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 b
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 e
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 the
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
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 semant
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 strategi
Accelerating mainframe modernization using generative AI
Mainframe modernization is hard: there's a huge amount of complexity that needs to be understood before it can be effectively addressed. Generative AI, however, can be a particularly powerful tool for understanding mainframe legacy codebases, something we've been exploring with Mechanical Orchard while working together on its Imogen modernization platform. In this episode of the Technology Podcast
Exploring the fundamentals of software engineering
You might think you know software engineering, but what are the really fundamental elements? What are the concepts, ideas and practices that are completely essential? What makes software engineering what it is? Thoughtworker Nate Schutta and Dan Vega are attempting to address those questions in their upcoming book with O'Reilly, The Fundamentals of Software Engineering. Covering topics ranging fro
Themes in Technology Radar Vol.32
Thoughtworks Technology Radar Vol.32 was published at the start of April 2025. Featuring 105 blips, it offered a timely snapshot of what's interesting and important in the industry. Through the process of putting it together, we also identify a collection of key themes that speak to the things that shaped our conversations. This time, there were four: supervised agents in coding assistants, evolvi
We need to talk about vibe coding
The term 'vibe coding' — which first appeared in a post on X by Andrej Karpathy in early February 2025 — has set the software development world abuzz: everyone seems to have their own take on what it is, how it's done and whether it's a bold new chapter in the history of programming or an insult to anyone that's ever written a line of code. Clearly, then, we need to talk about vibe coding — and th
Infrastructure as code in 2025
Nearly ten years after the first edition of Infrastructure as Code was published by O'Reilly, Kief Morris is publishing a third edition of the book. But why a new edition now? What's changed in technology and business over the last decade? Quite a lot, as it happens. To talk about what's new — both in the infrastructure world and in the book itself — Kief Morris joins host Ken Mugrage on the Techn
How fitness functions can help us govern and measure AI
AI is inherently dynamic: that's true in terms of the field itself, and at a much lower level too — models are trained on new data and algorithms adapt and change to new circumstances and information. That's part of its power and what makes it so exciting, but from a business and organizational perspective, that can make governance and measurement exceptionally difficult. How can we know that our
Architecture as code
How can we better define and clarify architectures to ensure consistency and control? If, as Neal Ford and Mark Richards discussed on a recent episode of the Technology Podcast, software architecture intersects with many different facets of software development and delivery, what can we do to better manage architectures in a way that is adaptable and dynamic? Neal and Mark return to the guest sea
Decoding DeepSeek
The release of DeepSeek's AI models at the end of January 2025 sent shockwaves around the world. The weeks that followed have been rife with hype and rumor, ranging from suggestions that DeepSeek has completely upended the tech industry to claims the efficiency gains ostensibly unlocked by DeepSeek are exagerrated. So, what's the reality? And what does it all really mean for the tech industry? In
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 reliab
Exploring the intersections of software architecture
Software architecture necessarily intersects with a diverse range of critical things, including implementation, infrastructure, data and engineering practices. All these elements require serious consideration and reflection if you're to architect effectively. To discuss these various intersections, Thoughtworks' Neal Ford and his long-time collaborator Mark Richards join host Prem Chandrasekaran
Who should make software architecture decisions?
Who should be involved in the process of making decisions about software architecture? That's a question that's been puzzling Thoughtworker Andrew Harmel-Law for some time — so much so that he decided to write a book about it. The result is Facilitating Software Architecture. Published by O'Reilly in December 2024, it's both an argument for and a guide to involving more people in the architecture
Generative AI's uncanny valley: Problem or opportunity?
With the rise of generative AI, the concept of the uncanny valley — where human resemblance unsettles, disturbs or disgusts — is more relevant than ever. But is it a problem that technologists need to tackle? Or does it offer an opportunity for greater thoughtfulness about the ways generative AI is being built, deployed and used? In this episode of the Technology Podcast, host Lilly Ryan is joined
Using generative AI for legacy modernization
Legacy modernization is an enduring challenge — and as systems become more complex, the difficulty of understanding and modelling a system so it can be modernized only becomes more difficult. However, at Thoughtworks we've seen some recent success bringing generative AI into the legacy modernization process. To discuss what this means in practice and the benefits it can deliver, host Ken Mugrage i
Data contracts: What are they and why do they matter?
Data contracts are a bit like APIs for data — they make it possible to interface with data in a way that ensures the transfer of data from one place to another is stable and reliable. This is particularly important for building more reliable data-driven applications. To discuss data contracts, host Lilly Ryan is joined on the Technology Podcast by Andrew Jones, the creator of the data contract con
In conversation with Thomas Squeo, Thoughtworks CTO for the Americas
What does it mean to be a technology leader today? What kind of challenges must you address? What questions do you need to answer? To explore all that — and dive into what it looks like from a Thoughtworks perspective — host Ken Mugrage spoke to Thomas Squeo, the CTO for Thoughtworks in the Americas. They discuss everything from keeping track of emerging technologies and wider industry shifts, to
Themes from Technology Radar Vol.31
Volume 31 of the Technology Radar will be released on October 23, 2024. As always, it will feature 100+ technologies and techniques that we've been using with clients around the world. Alongside them will be a set of key themes that emerged during the process of putting it together. We think they offer another way into the Radar and give a unique insight on some of the most interesting issues impa
Build Your Own Radar: Using the Technology Radar as a governance tool
The Thoughtworks Technology Radar is, first and foremost, a publication. It's a document that anyone in the tech industry can read twice a year to learn about our experiences and perspectives on technology. However, it's also more than that: it's built on top of a process of deliberation, discussion and curation. We think that's particularly important — it's something we encourage technology teams
Exploring DuckDB: A relational database built for online analytical processing
There are no shortage of options when it comes to relational databases. While the likes of PostgreSQL have proven enduring, even as the market has evolved, for data scientists and data engineers that need to manage and query particularly complex or large data sets, the most popular databases aren't always right for the job. Thankfully, this is where projects like DuckDB can help. Built for what's
Software service granularity: Getting it right
It's widely accepted that, in most cases at least, software systems should be modular, consisting of separate, discrete services. But what about the size of those services? How big or small should they be? This is where the question of service granularity comes in: too small and your system will become needlessly complicated; too big and you lose all the benefits of modularity you were seeking in
Measuring developer experience
Trying to measure developer effectiveness or productivity isn't a new problem. However, with the rise of fields like platform engineering and a new wave of potential opportunities from generative AI, the issue has come into greater focus in recent years. In this episode of the Technology Podcast, hosts Scott Shaw and Prem Chandrasekaran speak to Abi Noda, CEO of software engineering intelligence
How can AI support designers?
Artificial intelligence has been presented as a technology with the potential to transform many different fields and professions. One of the most notable is design — but if we want to design in a way that's truly human-centric and inclusive, to what extent can artificial intelligence really help us do better work? In this episode of the Technology Podcast, hosts Rebecca Parsons and Lilly Ryan spea
Sensible defaults: A way to think about our technology practices
If you work in technology, you're constantly making decisions: not just what you should do, but also how you should do it. That's why we developed the concept of "sensible defaults" — practices and technology decisions that we generally see — in most scenarios — as the right way to do things. Although we've been talking about sensible defaults internally for a few years now, we recently decided t
Tracking technology stacks, practices and experiences across teams
Understanding your technology estate and how it's being leveraged is critical for organizations; it impacts everything from financial planning to capability development. But given the rapid pace of change — even inside a single company, let alone the wider industry — how can this be done effectively? One approach we've landed on at Thoughtworks is something called a Tech Dash: it's a method of int
Inside Bahmni: An open-source digital public good
Bahmni started life as an open-source hospital information management system and electronic medical record for a single hospital in rural India. Today, it has more than 500 implementations in 50 countries across Africa and Asia, and is recognized as one of only 165 digital public goods by the Digital Public Goods Alliance. Thoughtworks played a key part in bringing Bahmni into the world back in 2
How to assess your organization's security maturity
One of the fundamentals of security is self-awareness: knowing where you may be vulnerable, the practices and processes that aren't yet quite in place and what actions you need to prioritize are essential if your organization is to excel at security. But how can that be done? In complex and distributed teams, surfacing such knowledge can be incredibly difficult. One solution, though, is something
Continuous delivery vs. continuous deployment: What should be the default?
Despite occasional confusion, the difference between continuous delivery and continuous deployment is simple: should deploying to production be on demand or every good build? Answering which approach is 'best' is difficult; any attempt at dogmatism is likely to just look foolish, given it is, like many other debates in software development, context-dependent. But that doesn't mean we shouldn't try
Themes from Technology Radar Vol.30
Volume 30 of the Thoughtworks Technology Radar was published in April 2024. Alongside 105 blips, the edition also featured four themes selected by the team of technologists that puts the Radar together. They were: open-ish source licenses, AI-assisted software development teams, emerging architecture patterns for LLMs and dragging pull requests closer to continuous integration. Each one cuts acros
Building at the intersection of machine learning and software engineering
Bringing machine learning models into production is challenging. This is why, as demand for machine learning capabilities in products and services increases, new kinds of teams and new ways of working are emerging to bridge the gap between data science and software engineering. Effective Machine Learning Teams — written by Thoughtworkers David Tan, Ada Leung and Dave Colls — was created to help pr
Refactoring with AI
Can AI improve the quality of our code? A recent white paper published by code analysis company CodeScene — "Refactoring vs. Refuctoring: Advancing the state of AI-automated code improvements" — highlighted some significant challenges: in tests, AI solutions only delivered functionally correct refactorings 37% of the time. However, there are nevertheless opportunities. The white paper suggests it
How to measure your cloud carbon footprint
If you've ever wondered how to measure your cloud carbon footprint, you can — thanks to a tool that's called, somewhat unsurprisingly, Cloud Carbon Footprint. Launched in March 2021 by Thoughtworks as an open-source project, it allows users to monitor and measure carbon emissions and energy use from cloud services. On this episode of the Technology Podcast, senior software engineers Cameron Casher
Technology through the Looking Glass: Preparing for 2024 and beyond
Looking Glass isn't like most other technology trend reports. It doesn't just tell you what deserves your attention, it's designed to help you use it to focus on what really matters to you. Published once a year, Thoughtworks intends it to be a tool that helps readers make sense of the emerging technologies that are going to shape the industry in the months and years to come. In this episode of th
Diving head first into software architecture
A few years ago, Thoughtworker and (prolific) author Neal Ford published Fundamentals of Software Architecture with Mark Richards. They're now back with another book on software architecture — written with co-author Raju Gandhi — which offers readers a very different learning experience. Described as a combination of technical book and graphic novel, Head First Software Architecture dispenses with
Exploring the building blocks of distributed systems
Distributed systems are ubiquitous yet complex. They can be particularly demanding for software developers and architects tasked with dealing with the sometimes unpredictable nature of the interactions between their various parts. That's why Thoughtworker Unmesh Joshi wrote Patterns of Distributed Systems. Published at the end of 2023, the book explores a number of patterns that characterize distr
Software-defined vehicles: The future of the automotive industry?
A few decades ago, it would have probably seemed strange to put software and automobility together. However, today software is embedded in all kinds of modern vehicles, enabling capabilities in everything from driving to passenger entertainment. But what exactly does this all mean for the automotive industry? And what demands does it place on design and manufacturing processes? In this episode of
Beyond the DORA metrics: Measuring engineering excellence
Is it really possible to measure the impact engineering teams have on a business' success? At a time when growth is challenging for many organizations and questions about productivity and effectiveness dominate industry conversations, getting it right is crucial. And although the DORA metrics are today well-established and extremely useful is it really enough? Do they actually help us tie the work
Asynchronous collaboration: Getting it right
Thanks to the pandemic, asynchronous working is, today, fairly common. However, it's often easily confused with simply working remotely — and while there are certainly neat synergies between the two, asynchronous working isn't just a description of your working arrangement: it's a set of intentional practices and artifacts that allow people to work together without having to physically be together
Looking back at key themes across technology in 2023
With each edition of the Thoughtworks Technology Radar, we identify a number of key themes that we see as significant in the industry. In the most recent edition — volume 29, published in September — we picked out AI-assisted software development, the challenges of measuring productivity, the rapid growth of LLMs and remote delivery workarounds beginning to mature in a post-pandemic world. For thi
Leveraging generative AI at Bosch
Generative AI has, unsurprisingly, been a major topic of conversation within Thoughtworks in 2023. However, as enjoyable as it is to get sucked into discussions about the reality, the risks and the benefits of this new technology, what's really interesting — and most important — is understanding how organizations can actually leverage generative AI in a way that's both safe and effective. For thi
Jugalbandi: Building with AI for social impact
It's easy for key industry players to talk up AI's potential positive social impact, but what does building for social impact actually look like? At Thoughtworks, a small team has been working on a project called "Jugalbandi," designing AI-driven systems and tools for civil society initiatives, such as a chatbot that helps Indian citizens find information about government programs and schemes in t
AI-assisted coding: Experiences and perspectives
Generative AI appears to be making an impact in a huge range of fields, but one that we're particularly interested in at Thoughtworks is its use in software development. In recent months, there's been a lot of talk in the industry around issues like whether AI might boost developer productivity and if it can be used for pair programming, but in this episode of the Technology Podcast we try to get
What's it like to maintain an award-winning open source tool?
Open source contributors and maintainers play a vital role in the technology ecosystem. But what's it like to develop and maintain an open source tool — especially one that thousands of other developers use and depend on? In this episode of the Technology Podcast, Srinivasan Sekar and Sai Krishna join hosts Rebecca Parsons and Scott Shaw to discuss their work on AppiumTestDistribution, an open sou
Engineering platforms and golden paths: Building better developer experiences
The concept of the developer platform and the discipline of platform engineering have been important in shaping how the industry thinks about enabling developers. But what does it mean to actually build and maintain a platform? How can you ensure it actually supports the people that need it? In this episode of the Technology Podcast, hosts Ken Mugrage and Rebecca Parsons are joined by Chris Ford o
Managing cost efficiency at scale-ups
Many of the scale-ups we've partnered with over the years will hit road bumps along the way. One common bottleneck we've seen are unexpected and dramatic rises in costs. In this episode we talk to members of our Digital Scale-up Studio, to hear their experience of gaining better visibility, improving operational efficiency at scale-ups, while the business maintains growth and gains greater knowled
Exploring SQL and ETL
The evolution of SQL and the ease of access to ever larger sizes of computational power has made SQL and ETL a useful pairing for practitioners in the data space. But how do they work together exactly? And what challenges can it pose? Bharani Subramaniam and Madhu Podila discuss these issues and much more with hosts Neal Ford and Rebecca Parsons on the latest episode of the Thoughtworks Technology
Driving innovation in radio astronomy
Radio astronomy — a subfield of astronomy that studies the sky using radio frequencies — is data-intensive. That poses a challenge for radio astronomers: building and then communicating scientific insights requires significant processing and analytical work. Thoughtworks has been working with Dr. Neeraj Gupta from the Inter-University Centre for Astronomy and Astrophysics (IUCAA) in India to devel
XR with impact: Building experiences that drive business value
XR is a potentially transformative technology, but it needs to be leveraged in a way that drives value. That isn't straightforward — given effective XR initiatives often require significant experimentation and exploration, simply aligning XR with strict organizational goals and aims will often make it harder to achieve success. How can technologists and product leaders get the balance right? In th
Leadership styles in technology teams
Leadership is an important if often-overlooked quality in the technology industry. However, it is also a complex and multi-faceted thing: it isn't a discrete set of skills, but rather an ability to respond and adapt to the needs of a situation, team or individual. In this episode of the Technology Podcast, Ricardo Cavalcanti (Caval) and Arturo Santos from Thoughtworks Brazil join hosts Alexey Boas
Making design matter in technology organizations
Design leader and Thoughtworks alumnus Emma Carter recently published her second book, DesignedUp. In it, she explains how designers can win a seat at the leadership table inside technolology organizations and become effective evangelists and advocates for good design principles and practices. In this episode of the Technology Podcast, Emma joins hosts Rebecca Parsons and Scott Shaw to discuss her
Generative AI and the future of knowledge work
Thoughtworks recently established a new role — Chief AI Officer. Taking up the position is Mike Mason, a veteran of Thoughtworks with over 20 years at the company, in technology roles spanning developer to technology strategist and author (and occasional Technology Podcast host). Mike will help guide Thoughtworks AI strategy and ensure that we're equipped to support clients trying to leverage AI.
Scaling mobile delivery
It seems obvious to say that mobile usage has grown dramatically over the last decade, but for businesses that have to move to accomodate this type of user behavior, it presents many challenges. While some have successfully gone all-in on mobile experiences, for others, trying to build effectively for multiple channels is as much an organizational challenge as it is a product one. In this episode
Making privacy a first-class citizen in data science
A changing regulatory environment has made it more important than ever for organizations to embed privacy in their data infrastructure. Doing so, however, can be complicated — that means data scientists have an vital role to play in ensuring privacy is a key concern from both a technical and commercial perspective. Thoughtworker and data scientist Katharine Jarmul is eager to help fellow data sci
Multi-cloud: Exploring the challenges and opportunities
When cloud first hit the mainstream more than a decade ago, its attraction was rooted, in part, in its apparent elegance and simplicity. As it has become an established norm in the industry, such simplicity has given way to more fragmentation and complexity. The growth of "multi-cloud" and adjacent terms such as "hybrid cloud" and "poly cloud" mean that cloud is a field that needs to be sensitivel
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