Episodes: 100
Frequency: Biweekly
Rating: 4.5/5.0
Estimated listeners: 1k-10k
Gender skew: Unknown
Location: USA
YouTube: 50.3k subscribers
Instagram: 26.0k followers
Publicly listed emails
podcasts@thoughtworks.com
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Prem Chandrasekaran - Technology podcast host covering emerging technology and software engineering topics.
Ken Mugrage - Technology podcast host covering software engineering, architecture, and emerging technology topics.
Alexey Boas - Technology podcast host covering software engineering and the changing practice of development.
Girish Hoogar - Hybrid AI, Local And On-device AI, Implementation Strategies, Cloud Services, Device Performance, And Implications For Engineering Teams.
Open-weight models: What are they and when should you use them?
September 03, 2026
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 o...
AI-generated code: What has to be true for us to trust it without looking at it?
August 20, 2026
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 rema...
Scaling the enterprise harness: How to achieve AI agent controllability across an organization
August 06, 2026
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 Mug...
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