Insights from recent episode analysis
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Podcast Focus
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Insights are generated by CastFox AI using publicly available data, episode content, and proprietary models.
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Total monthly reach
Estimated from 9 chart positions in 9 markets.
By chart position
- 🇮🇳IN · Technology#2830K to 100K
- 🇳🇱NL · Technology#1721K to 10K
- 🇻🇳VN · Technology#1230K to 100K
- 🇳🇿NZ · Technology#4710K to 30K
- 🇵🇹PT · Technology#623K to 10K
- Per-Episode Audience
Est. listeners per new episode within ~30 days
39K to 135K🎙 ~2x weekly·100 episodes·Last published today - Monthly Reach
Unique listeners across all episodes (30 days)
79K to 269K🇮🇳37%🇻🇳37%🇳🇿11%+6 more - Active Followers
Loyal subscribers who consistently listen
31K to 108K
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Reach across major podcast platforms, updated hourly
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* Data sourced directly from platform APIs and aggregated hourly across all major podcast directories.
On the show
From 10 epsHosts
Recent guests
Recent episodes
What does code mean in 2026?
Jun 25, 2026
Unknown duration
Database branching: Overcoming the bottlenecks of shared database environments
Jun 11, 2026
Unknown duration
What is spec-driven development?
May 28, 2026
Unknown duration
What is harness engineering?
May 14, 2026
Unknown duration
Anthropic Mythos: Hype, reality and the actual security implications
Apr 30, 2026
48m 50s
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| Date | Episode | Topics | Guests | Brands | Places | Keywords | Sponsor | Length | |
|---|---|---|---|---|---|---|---|---|---|
| 6/25/26 | What does code mean in 2026? | 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 amounts of executable code can be generated from high-level descriptions, what does it even mean to write code? On this episode of the Technology Podcast, host Alexey Boas is joined by Thoughworks Distinguished Engineer Unmesh Joshi to discuss what code actually is and what it means to write, test, review and maintain code today. Building on Unmesh's recent article 'What is Code?' for martinfowler.com, this discussion dives into one of the fundamental building blocks of software while also thinking through the implications for 2026's engineering challenges. Read Unmesh's article on martinfowler.com: https://martinfowler.com/articles/what-is-code.html | — | ||||||
| 6/11/26 | 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 are changing. Thanks to the emergence of new platforms such as Neon, Supabase and Databricks Lakebase, branching a database can become as familiar to developers as managing code branches and multiple environments with, say, Git and Terraform. On this episode of the Technology Podcast, host Ken Mugrage is joined by his Thoughtworks colleague Cam Casher and Databricks' Kevin Hartman to discuss the work Thoughtworks and Databricks have been doing together on Lakebase. They discuss the platform, their experience using it with Spotify's Backstage and the opportunities database branching can offer software engineering teams in an increasingly AI-assisted and agentic world. Read Cam and Kevin's recent series on using Databricks Lakebase with Backstage: https://www.thoughtworks.com/insights/blog/data-engineering/backstage-lakebase-databricks | — | ||||||
| 5/28/26 | 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 a vocabulary for talking about how they're developing methods for working successfully with coding agents. On this episode of the Technology Podcast, Birgitta Böckeler is joined by Laura Tacho — Developer Experience at AWS — to discuss all things spec-driven development. From competing definitions to different interpretations, implementations and workflows, the discussion provides a frank and grounded look at one of the most discussed and debated terms in modern software engineering. Learn more about Laura's work by visiting her website: https://lauratacho.com/ Read Birgitta's article on spec-driven development on Martin Fowler's website: https://martinfowler.com/articles/exploring-gen-ai/sdd-3-tools.html Learn more about The Future of Software Development Retreat discussed on this episode and explore some of the key insights: https://www.thoughtworks.com/about-us/events/the-future-of-software-development | — | ||||||
| 5/14/26 | 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 Böckeler joins hosts Prem Chandrasekaran and Nate Schutta to explore what harness engineering actually is, how it should be done and why it should matter to software engineers working today. Having written a number of articles on harness engineering for martinfowler.com based on her experiences with AI-assistance, Birgitta is well-placed to explain the core concepts and implications. Taking in everything from the practices and ideas that pre-date and inform harness engineering to integrating harness engineering into existing workflows, listen for a conversation that will provide much needed clarity on what's an essential topic in the industry. Read Birgitta's article on harness engineering on martinfowler.com: https://martinfowler.com/articles/harness-engineering.html Watch Birgitta's video on harness engineering beyond skills on YouTube: https://www.youtube.com/watch?v=uLWOLmeHOSE | — | ||||||
| 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 | |
Want analysis for the episodes below?Free for Pro Submit a request, we'll have your selected episodes analyzed within an hour. Free, at no cost to you, for Pro users. | |||||||||
| 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 | |
| 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/ | — | ||||||
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Chart Positions
9 placements across 9 markets.
Chart Positions
9 placements across 9 markets.
