Unlearning, experimentation and engineering rigor in an agentic world
Thoughtworks Technology Podcast
Release Date: 02/05/2026
Thoughtworks Technology Podcast
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 engineering and discuss the implications for the future — and, most importantly, what actions need to be taken today. To review the event and dive into some of the topics that surfaced, host Ken Mugrage is joined by Thoughtworks colleagues Kief Morris (author of ) and Andrew Harmel-Law (author of ). They highlight some of the key ideas and issues that...
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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...
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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...
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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...
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'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...
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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 developers, security professionals and other technologists. In this episode of the Technology Podcast, one of our new hosts Nate Schutta is joined by Chris Kramer to discuss Anthropic Mythos and...
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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 collaborative and individual challenges of working with AI. This is reflected in the four themes identified for this Radar: the challenge of evaluating technology in an agentic world; retaining...
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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 interfacing with it in the way we're used to, what does that mean for our professional experience? On this episode of the Technology Podcast, host Ken Mugrage is joined by Nate Schutta to discuss the...
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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 software delivery to AI-ready data, it bridges the gaps between what the world is doing today, what will be possible in the months to come and what may be coming on the horizon in the long-term. To...
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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 state so a task is completed even when something fails. To discuss durable computing, explore why it matters today and how we've been using it at Thoughtworks, Brandon Cook and John Coleman join host...
info_outlineIn 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 line between experimentation and well-established engineering practices as they seek to innovate while ensuring resilience, reliability and security.
Thoughtworks is a platinum sponsor of the 2025 DORA report: https://www.thoughtworks.com/en-us/insights/reports/the-2025-dora-report