'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

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 Project Glasswing, unpacking what's hype and what really matters.

A few links for this episode:

Some more information about Project Glasswing: https://www.anthropic.com/glasswing

A story about how a small Discord group briefly had access to Mythos: https://daringfireball.net/linked/2026/04/23/discord-group-has-claude-mythos-access

How Mozilla used Mythos to discover Firefox bugs: https://www.wired.com/story/mozilla-used-anthropics-mythos-to-find-271-bugs-in-firefox/

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 principles, relinquishing patterns; securing permission-hungry agents; putting coding agents on a leash.

On this special Technology Radar episode of the Technology Podcast, host Ken Mugrage is joined by Alessio Ferri and Jim Gumbley to discuss the key themes in Technology Radar Vol.34. Diving into topics ranging from cognitive debt, harness engineering and the lethal trifecta, listen to gain a deeper understanding not just of the latest Radar but, more importantly, what AI-assisted and agentic software engineering really look like today.

Read the latest Thoughtworks Technology Radar: https://www.thoughtworks.com/radar

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 software engineering experience today and to dig deep into what the work feels like when AI agents change our relationship with code. Nate is one of the authors of Fundamentals of Software Engineering (alongside Dan Vega) and appeared on the podcast in May 2025 to discuss the book; with so much change having taken place since then, Nate is perfectly placed to offer a perspective on what software engineering means today for an industry navigating significant change.

Learn more about The Fundamentals of Software Engineering: https://www.thoughtworks.com/insights/books/fundamentals-software-engineering-book

Listen to Nate discuss the book on an earlier episode of the Technology Podcast: https://www.thoughtworks.com/insights/podcasts/technology-podcasts/exploring-fundamentals-software-engineering

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 discuss this year's Looking Glass, host Ken Mugrage is joined by Rickey Zachary and Thomas Squeo. Together, Rickey and Thomas provide both a technology and business perspective on the main insights from the report, exploring some of the key throughlines and issues Thoughtworks believes businesses need to contend with. With a complex and rapidly changing industry and economic picture, one thing emerges as critical: being brilliant at the basics.

Read the 2026 Looking Glass: https://www.thoughtworks.com/insights/looking-glass

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 Alexey Boas on the Technology Podcast. They dive into the current platform ecosystem and what it means for developers — and requires of them. They also talk about the value of durable computing for AI, explaining why the concept of 'durable agents' offers an important of avenue of investigation in a world eager to embrace agentic systems.

Learn more about durable computing in this blog post from July 2025: https://www.thoughtworks.com/insights/blog/cloud/durable-computing-making-easier-resilience-distributed-systems

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 Thoughtworks works with?

In this episode of the Technology Podcast, new host Rickey Zachary is joined by Bharani Subramaniam (CTO for Thoughtworks India and the Middle East) and Shodhan Sheth (Head of Enterprise Modernization, Platforms and Cloud) to discuss AI/works™, taking in how the platform emerged from a number of recent Thoughtworks projects to how it's delivering value to businesses today.

As well as an inside perspective on Thoughtworks' new platform, the episode also offers a deep and timely exploration of questions and challenges the rapid rise of AI agents in software engineering has surfaced across every part across industry.

Learn more about AI/works™: https://www.thoughtworks.com/ai/works

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 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