100 episodes

The Thoughtworks podcast plunges deep into the latest tech topics that have captured our imagination. Join our panel of senior technologists to explore the most important trends in tech today, get frontline insights into our work developing cutting-edge tech and hear more about how today’s tech megatrends will impact you.

Thoughtworks Technology Podcast Thoughtworks

    • Technology
    • 4.5 • 38 Ratings

The Thoughtworks podcast plunges deep into the latest tech topics that have captured our imagination. Join our panel of senior technologists to explore the most important trends in tech today, get frontline insights into our work developing cutting-edge tech and hear more about how today’s tech megatrends will impact you.

    Themes from Technology Radar Vol.30

    Themes from Technology Radar Vol.30

    Volume 30 of the Thoughtworks Technology Radar was published in April 2024. Alongside 105 blips, the edition also featured four themes selected by the team of technologists that puts the Radar together. They were: open-ish source licenses, AI-assisted software development teams, emerging architecture patterns for LLMs and dragging pull requests closer to continuous integration. Each one cuts across the technologies and techniques included on the Radar and highlights a key issue or challenge for software developers — and other technologists — working today.
    In this episode of the Technology Podcast, Birgitta Böckeler and Erik Dörnenberg join Neal Ford and Ken Mugrage to discuss the themes for Technology Radar Vol.30. They explain what they mean, why they were picked and what their implications are for the wider industry.
     
    Explore volume 30 of the Technology Radar: https://www.thoughtworks.com/radar

    • 44 min
    Building at the intersection of machine learning and software engineering

    Building at the intersection of machine learning and software engineering

    Bringing machine learning models into production is challenging. This is why, as demand for machine learning capabilities in products and services increases, new kinds of teams and new ways of working are emerging to bridge the gap between data science and software engineering. Effective Machine Learning Teams — written by Thoughtworkers David Tan, Ada Leung and Dave Colls — was created to help practitioners get to grips with these challenges and master everything needed to deliver exceptional machine learning-backed products.
    In this episode of the Technology Podcast, the authors join Scott Shaw and Ken Mugrage to discuss their book. They explain how it addresses current issues in the field, taking in everything from the technical challenges of testing and deployment to the cultural work of building teams that span different disciplines and areas of expertise.
     
    Learn more about Effective Machine Learning Teams: https://www.thoughtworks.com/insights/books/effective-machine-learning-teams
    Read a Q&A with the authors: https://www.thoughtworks.com/insights/blog/machine-learning-and-ai/author-q-and-a-effective-machine-learning-teams
     

    • 48 min
    Refactoring with AI

    Refactoring with AI

    Can AI improve the quality of our code? A recent white paper published by code analysis company CodeScene — "Refactoring vs. Refuctoring: Advancing the state of AI-automated code improvements" — highlighted some significant challenges: in tests, AI solutions only delivered functionally correct refactorings 37% of the time. However, there are nevertheless opportunities. The white paper suggests it might be possible to dramatically boost the success rate of AI refactoring to 90%.
    In this episode of the Technology Podcast, Adam Tornhill, CTO and Founder of CodeScene, joins Thoughtworks' Rebecca Parsons (CTO Emerita), Birgitta Böckeler (Global Lead for AI-assisted software delivery) and Martin Fowler (Chief Scientist and author of the influential Refactoring book) to discuss all things AI and code. From refactoring and code quality to the benefits and limitations of coding assistants, this is an essential conversation for anyone that wants to understand how AI is going to shape the way we build software.
     
    Read CodeScene's Refactoring vs. Refuctoring white paper, which explores AI's role in improving code:  https://codescene.com/hubfs/whitepapers/Refactoring-vs-Refuctoring-Advancing-the-state-of-AI-automated-code-improvements.pdf
    Read CodeScene's Code Red white paper to learn how code quality impacts time-to-market and product experience: https://codescene.com/hubfs/web_docs/Business-impact-of-code-quality.pdf
    CodeScene's new automated refactoring tool is now in beta. Learn more:  https://codescene.com/campaigns/ai
    Listen to our podcast discussion about AI-assisted coding from November 2023: https://www.thoughtworks.com/insights/podcasts/technology-podcasts/ai-assisted-coding-experiences-perspectives

    • 37 min
    How to measure your cloud carbon footprint

    How to measure your cloud carbon footprint

    If you've ever wondered how to measure your cloud carbon footprint, you can — thanks to a tool that's called, somewhat unsurprisingly, Cloud Carbon Footprint. Launched in March 2021 by Thoughtworks as an open-source project, it allows users to monitor and measure carbon emissions and energy use from cloud services.
    On this episode of the Technology Podcast, senior software engineers Cameron Casher and Arik Smith join Alexey Boas and Ken Mugrage to talk about Cloud Carbon Footprint in depth. They explain why CCF is different from the measurement tools offered by established cloud vendors, how it actually works and how you can get started with it yourself. 
    CCF on GitHub: https://github.com/cloud-carbon-footprint
    Learn more: https://www.cloudcarbonfootprint.org/
     
     

    • 38 min
    Technology through the Looking Glass: Preparing for 2024 and beyond

    Technology through the Looking Glass: Preparing for 2024 and beyond

    Looking Glass isn't like most other technology trend reports. It doesn't just tell you what deserves your attention, it's designed to help you use it to focus on what really matters to you. Published once a year, Thoughtworks intends it to be a tool that helps readers make sense of the emerging technologies that are going to shape the industry in the months and years to come.
    In this episode of the Technology Podcast, lead Looking Glass contributors Rebecca Parsons and Ken Mugrage trade hosting duties for the guest seats, as they talk to Neal Ford about the most recent edition of the Looking Glass (published in January 2024). They explain what the Looking Glass is and outline some of the key 'lenses' that act as a framework readers can use to monitor and evaluate what's on the horizon. 
    Covering everything from AI to augmented reality, this conversation offers a new perspective on emerging technology to help prepare you for 2024.
    Explore Looking Glass 2024: https://www.thoughtworks.com/insights/looking-glass

    • 31 min
    Diving head first into software architecture

    Diving head first into software architecture

    A few years ago, Thoughtworker and (prolific) author Neal Ford published Fundamentals of Software Architecture with Mark Richards. They're now back with another book on software architecture — written with co-author Raju Gandhi — which offers readers a very different learning experience. Described as a combination of technical book and graphic novel, Head First Software Architecture dispenses with dense prose to present and explain software architecture concepts and ideas in some highly innovative and novel ways.
    In this episode of the Technology Podcast, the authors — alongside their editor, Sarah Grey — join Rebecca Parsons to discuss their new book. They explain the thinking behind the approach, how it diverges from Fundamentals of Software Architecture and detail some of the challenges of writing in a new format.
    Whether you're interested in getting started with software architecture or simply curious about technical communication and learning, listen to find out more.
    Learn more about Head First Software Architecture: https://www.oreilly.com/library/view/head-first-software/9781098134341/

    • 37 min

Customer Reviews

4.5 out of 5
38 Ratings

38 Ratings

malfoxley ,

Great show!

The host highlights all aspects of tech and more in this can’t miss podcast! The host and expert guests offer insightful advice and information that is helpful to anyone that listens!

FindKuhl ,

Better Audio Please

Your podcasts are very infomative and the guests are very good. But the audio quality is poor and I doubt I will continue to listen because of it. There was a similar comment 3 years ago and it seems nothing has improved.

Prasannakakhandaki ,

audio quality

I love ThoughWorks podcasts, this is one of the best ways of learning technology and business directly from the industry experts. For some reason the audio recoding is not consistent or tuned for Podcasts. For example if you listed to Microservices as complex systems podcast - the guest speaker James Lewis. James' voice sounds like he is speaking in a conference room far away from microphone. The listener has to put a lot of effort to listed to these which is not desrirable. Can Thoughworks do some post-processing to enhance the listening experience before publishing the podcasts ?

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