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

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 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/

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