Discover inspiring talks on the business impact of code quality, managing technical debt, and the role of AI coding assistants.
Code Health, Technical Debt & AI Coding
Our team at CodeScene shares insights and solutions worldwide to tackle the challenges of modern software development — from managing technical debt to scaling team efficiency. So how do we drive change and inspire others?
GOTO 2022, Amsterdam, Adam Tornhill
Prioritizing Technical Debt as If Time & Money Matters
Many codebases have overly complicated code that is hard to understand and costly to change. Prioritizing technical debt is difficult in modern systems with millions of lines of code and multiple teams lacking a holistic overview. So what do we do?
GOTO 2022, Copenhagen, Adam Tornhill
Code Red: The Business Impact of Code Quality
Code quality is often seen as an abstract concept that struggles to gain traction at the business level, leading software companies to prioritize new features over quality. Without clear, quantifiable benefits, building a business case for code quality becomes challenging.
GAIA Conference 2023, Stockholm, Adam Tornhill
Exploring the Fact-based Realities of AI-Assisted Coding
In this talk, Adam discusses the short- and long-term implications of using AI assistants for coding, drawing on extensive CodeScene research analyzing over 100k AI refactorings in real-world codebases. This data challenges the productivity claims of current AI assistants, highlighting the distinction between code-writing speed and true productivity.
Devoxx 2024, Zürich, Adam Tornhill
How Empirical Data Shatters the Speed vs Quality Myth
In this talk, Adam takes on the challenge by combining innovative code quality metrics with analyses of how the engineering organization works with the code. We then take those metrics a step further by connecting them to values like time-to-market, customer satisfaction, and road-map risks.
GOTO 2023, Copenhagen, Adam Tornhill
How Technical Problems Cause Organizational Friction
Successful software development requires that you keep code and people in balance so that one supports the other. It's a hard challenge since a piece of code doesn't reveal anything about its socio-technical context. Enter behavioral code analysis, an approach which combines code level metrics with data on how teams interact within the code.
ThoughtWorks Technology Podcast
Refactoring With AI — Thoughtworks Technology Podcast
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.
OpenConf, Greece, Dr. Markus Borg
The Quest for Evidence-Based Technical Debt Management
Markus Borg, Principal Researcher at CodeScene & Adjunct Associate Professor at Lund University, presents his Oπe
conf 2023 Speech titled “The Quest for Evidence-Based Technical Debt Management”
GOTO, Copenhagen, Enys Mones
Refactoring vs Refuctoring: Code Quality in the Al Age
In this talk, we explore AI-assisted code generation, revealing hidden pitfalls of using these tools without proper safeguards. We'll also demonstrate how to use AI to produce reliable, trustworthy code.
Podcasts
At CodeScene, we love using AI – not just to help developers work smarter with their code but also to share our insights in new ways. Some people prefer listening over reading, so we’ve created an AI-generated podcast hosted by our virtual duo, Amy and Jim.
Can you guess which tool we used?
Research on AI-coding assistants
AI-Refactoring Research
In this episode, the duo discusses the whitepaper Refactoring vs Refuctoring: Advancing Automated Code Improvements, which shows that current AI tools achieve correct refactorings only 37% of the time. A new fact-checking innovation, however, raises AI accuracy to 98%, surpassing human expertise and offering a powerful solution for automating code improvements and reducing technical debt.
Research on code quality
Business Impact of Code Quality
In this episode, the duo discusses the paper "Code Red: The Business Impact of Code Quality," which shares findings from a large-scale study on how code quality affects software companies’ time-to-market and product experience. The study reveals that high-quality code results in 15x fewer bugs, twice the development speed, and 9x greater certainty in completion time.
Other resources
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