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Speakers: Stuart Caborn Distinguished Engineer, loveholidays, Adam Tornhill Founder and CTO, CodeScene & Markus Borg, Principal Researcher, CodeScene

Join us for a hands-on, language-agnostic session where we explore how to adopt and scale AI coding safely, with real-world evidence from loveholidays. We’ll also dive into how Code Health determines AI performance, when AI introduces defects, and how to avoid them

In this session, you’ll learn to:

• Understand why AI coding fails in legacy systems and how to apply it safely.

• Apply guardrails that keep AI predictable and produce production ready, maintainable code.

• Accelerate AI adoption without sacrificing quality, and why to use CodeHealth™ metric as shared business KPI.

👉🏽 Share and sign up to this game changing webinar here.

Speakers: James Meaden, Head of Assessment Research at Codility and Adam Tornhill & Markus Borg from CodeScene

What is it about?

Codility's recent benchmark study talks about:

- How AI-generated solutions that are technically correct can still fail due to inefficiency, poor maintainability, or complexity that creates technical debt.

- How Codility’s COMPASS benchmark evaluates three critical aspects of AI-generated code: correctness, efficiency, and quality.

- What our research means for teams using AI coding assistants, including which models show the most consistent performance and reliability.

For assessing code quality, CodeScene’s Code Health Metric was used.

Sign up here.

Join us on November 26th for a hands-on, language-agnostic session where we show how CodeScene’s Code Health metric helps you quantify code quality, catch problems before they ship, and keep your codebase healthy, now more important than ever in the era of AI-assisted development.

Why attend?

This session is for developers, tech leads, and engineering managers who want to:

✅ Catch technical debt before it reaches production.
✅ See real-time feedback on code health in your IDE.
✅ Automate quality gates in pull/merge requests.
✅ Ensure AI-generated code meets your standards.
✅ Tailor Code Health profiles to match your team’s goals.
✅Use AI-assisted refactoring agent to iteratively improve code health and prevent new technical debt from entering the codebase.

We’ll also give a first look at what we’re building with our MCP, and how it will change how developers and AI agents collaborate on code quality.

Sign up here: https://codescene.com/webinars/tools-for-healthy-code