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AI, Code Quality & Refactoring: Connecting the Dots to Business Impact

Join us for a deep-dive conversation in this upcoming webinar as we connect the dots between code quality, business outcomes, refactoring, and the evolving role of AI in software engineering.

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When

Wednesday, September 17

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Where

Online Webinar

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Time

4 pm - 5 pm CET

Webinar hosts

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Key takeaways

  • Uncover productivity bottlenecks and build the business case for refactoring using real-world data, track long-term trends, and make data-driven decisions
  • Set smart expectations for AI-assisted coding with evidence on how it affects speed and quality - and some of the guardrails you need to have in place.
  • Discover AI-powered refactoring agents to fix technical debt automatically
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Adam Tornhill
CTO & Founder of CodeScene

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Luca Rossi
Founder of Refactoring.fm

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Abstract

Everyone in the software industry "knows" that code quality is important, yet we never had any data to prove it. Consequently, the importance of a healthy codebase is largely undervalued at the business level.

In an era where AI is reshaping the way we write and maintain code, code quality is even more important.

Join us for a deep-dive conversation that connects the dots between code quality, business outcomes, and the evolving role of AI in software engineering.

This session is designed specifically for CTOs, VPs of Engineering, and Engineering Managers who need to drive delivery velocity without compromising maintainability and quality. 

We'll explore

  • The business case for refactoring

    Prioritize technical debt at scale, balance refactoring vs. features, track long-term trends, and make data - driven decisions. We’ll dive into some real-world codebases and examples.
  • How AI-assisted coding impacts time-to-market and risks

    We’ll dig into some empirical data on AI & code quality, which you can use to set expectations and build your business case for a strategic AI rollout. 
  • Identifying developer productivity bottlenecks

    Using data to surface hotspots with maintenance challenges, problematic code, and fragile architecture. 
  • Demonstrate AI-powered refactoring agents

    For automatically fixing technical debt What if you could use AI to automatically fix technical debt? With precision? We’ll show you how.

About the speakers

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Adam Tornhill

Adam Tornhill is a programmer who combines degrees in engineering and psychology. He’s the founder and CTO of CodeScene, a software engineering intelligence tool helping companies manage technical debt, improve code quality, and automate code reviews. Adam is also a recognized speaker and the author of multiple technical books, including the best-selling Your Code as a Crime Scene and Software Design X-Rays. Adam’s interests also include modern history, music, retro computing, and martial arts.

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Luca Rossi

Luca Rossi is the founder of Refactoring.fm — a newsletter and podcast about writing good software and working well with humans, that goes out weekly to more than 150,000 software engineers and managers from all over the world.Before Refactoring, Luca has been Head of Engineering at Translated.com, and co-founder and CTO of Wanderio, where he built and grew the product from 0 to 25M customers.

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