Skip to content
HeyJared

Thoughtworks Technology Podcast

The Thoughtworks podcast plunges deep into the latest tech topics that have captured our imagination.

Podcast · By Thoughtworks · English · Official site

Indexed episodes, last 90 days
5
Latest publication
Sep 3, 2026
Audience
Apple #143 · US
Earliest in this view
Jul 9, 2026

Latest episodes

  1. Episode · Sep 3, 2026

    Open-weight models: What are they and when should you use them? (opens the original)

    Episode notes

    Read excerpt

    We've seen a huge amount of increase in interest around open-weight models in 2026. The reasons for this are multifaceted, ranging from the switch to per token billing, the evolving privacy landscape and improvements in open-weight model capabilities. To unpack open-weight models and explore why and when we might want to use them, host Ken Mugrage is joined by Thoughtworkers Caer Sanders and Andre Almar. They discuss everything from the precise definition of the term and how they compare to othe

  2. Episode · Aug 20, 2026

    AI-generated code: What has to be true for us to trust it without looking at it? (opens the original)

    Episode notes

    Read excerpt

    We've been thinking a lot recently about the status of code in a world where it's increasingly written and read by AI. Could the spec, for instance, become the primary way we interface with software systems? And if it does, will that mean humans no longer need to look at code at all? At present, the idea of not looking at our code seems fanciful, possibly dangerous, but even within Thoughtworks there are conflicting perspectives about whether this might change. To some, code will always remain t

  3. Episode · Aug 6, 2026

    Scaling the enterprise harness: How to achieve AI agent controllability across an organization (opens the original)

    Episode notes

    Read excerpt

    Harness engineering is still a new concept, but already we've noticed a challenge being consistently faced by technology leaders: how can a harness be used at scale across an organization to ensure consistency and controllability without undermining autonomy? To some extent it's a discussion that's reminiscent of platform engineering and, before that, DevOps, but, given the nature of AI agents, it's also unique to this particular moment. On this episode of the Technology Podcast, host Ken Mugrag

  4. Episode · Jul 23, 2026

    Embracing hybrid AI: How Lenovo is leveraging local, on-device AI (opens the original)

    Episode notes · Neutral tone

    Read excerpt

    Cloud was one of the main drivers of the early waves of AI adoption. However, as AI has become more and more embedded in systems and devices — in both consumer and enterprise contexts — it's becoming a bottleneck. This isn't just about costs (although yes, that issue is certainly surging up the agenda), it's also about how we optimize our architectures and improve device performance. This is why conversation is turning to hybrid AI: embracing a hybrid approach that combines proprietary cloud ser

  5. Episode · Jul 9, 2026

    What does the future of software engineering look like? (opens the original)

    Episode notes · Neutral tone

    Read excerpt

    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 o

Publishing over time

Last 90 days. Choose a month to open its work.

Recurring subjects

Named in the text we hold. One piece can cover several.

Audience

Apple #143 · US

Measured Sep 19, 2026

Apple Podcasts chart position, not a count of listeners or downloads.

How this was measured

About this data

Counts cover the work we have indexed. Tone needs enough text and a confident classification. Excerpts and episode notes are not full articles or transcripts.

Identity or attribution wrong? Suggest a correction.

See coverage about Thoughtworks Technology Podcast