Thoughtworks Technology Podcast

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Open-weight models: What are they and when should you use them?

9/3/2026 • 39 min

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 … Play episode

AI-generated code: What has to be true for us to trust it without looking …
Scaling the enterprise harness: How to achieve AI agent controllability ac…
Embracing hybrid AI: How Lenovo is leveraging local, on-device AI
What does the future of software engineering look like?
What is code?
Database branching: Overcoming the bottlenecks of shared database environm…
What is spec-driven development?
What is harness engineering?
Anthropic Mythos: Hype, reality and the actual security implications
Key themes in Technology Radar Vol.34
How it feels to be a software engineer when AI is changing our relationshi…
Be brilliant at the basics: Inside Looking Glass 2026
Durable computing: What is it and why now?
Inside AI/works™: An agentic development platform
Unlearning, experimentation and engineering rigor in an agentic world
Exploring AI agent platforms
Architecture antipatterns and pitfalls: Good intentions, bad habits and ug…
Are we entering the 'age of intent' in digital interaction?
AI-assisted software development in 2025: Inside this year's DORA report
We still need to talk about vibe coding: Reflections on 2025's word of the…
How developers can get the most from new AI coding workflows
Themes from Technology Radar Vol.33
What does an AI strategy with humans at the center look like?
What we're talking about when we talk about context engineering
Mean time to shared understanding: Bridging the gap between citizen develo…
Organizational design and Team Topologies after AI
Context engineering: Tackling legacy systems with generative AI
Navigating AI opportunities at MYOB
Caring about documentation in the LLM era (w/ Heidi Waterhouse)
Why the tech industry needs Expert Generalists (w/ Martin Fowler)
The three new fallacies of distributed computing
MCP and SRE: Why the future of IT operations is agent-driven
Unpacking Google I/O 2025
Accelerating mainframe modernization using generative AI
Exploring the fundamentals of software engineering
Themes in Technology Radar Vol.32
We need to talk about vibe coding
Infrastructure as code in 2025
How fitness functions can help us govern and measure AI
Architecture as code
Decoding DeepSeek
AI testing, benchmarks and evals
Exploring the intersections of software architecture
Who should make software architecture decisions?
Generative AI's uncanny valley: Problem or opportunity?
Using generative AI for legacy modernization
Data contracts: What are they and why do they matter?
In conversation with Thomas Squeo, Thoughtworks CTO for the Americas
Themes from Technology Radar Vol.31

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