Code Quality Conference 2024
as the organisers put it
A premier conference for developers and anyone passionate about writing clean, maintainable, and high-quality code.
who it's for
software developers, engineering managers, qa engineers, devops engineers, database developers, tech leads, security engineers
topics
cyclomatic complexity measurement; maintainability index scoring; Halstead volume metrics; static analysis with pylint and Reaper; GitHub Copilot for refactoring; Copilot Chat in VS Code and JetBrains; GenAI code provenance detection; code health 25-factor scoring; CI/CD integrated automated testing; SQL code analysis with ScriptDOM and SQLCheck; code review automation with ArchUnit and templates
| title | author | length |
|---|---|---|
| Best Practices for Writing Clean and Maintainable Codes | David Afolabi | 25m |
Clean code cuts bug-fix time and speeds development cycles by making logic readable and modular, and common smells include excessive comments, duplicated code… | ||
| Code Quality Metrics to Measure and Quantify Quality of Code | Abhishek Mishra | 33m |
Claims that code quality is measurable using concrete metrics: Halstead volume and cyclomatic complexity to quantify size and control‑flow, a Maintainability… | ||
| Cracking the Code Review from Guesswork to Automated Guidance | Paco van Beckhoven | 41m |
Code review practices that reduce bugs and wasted time: document the why and examples in every PR, use templates and checklists, and force self-review before… | ||
| Cyclomatic Complexity in Code | Vahid Farahmandian | 34m |
Measures software architecture using operational, structural and process metrics and focuses on cyclomatic complexity as a structural measure. Presents… | ||
| Ensuring Quality in DevOps Culture | Sagar Jitendra Mahendrakar | 20m |
Claims that quality work requires integrate automated tests with CI/CD pipelines and shift-left continuous testing backed by concrete steps: write and maintain… | ||
| Improve Your Code Quality and Performance using AI and GitHub Copilot | Satya Karki, Rijwan Ansari | 53m |
Demonstrates GitHub Copilot, Copilot Chat and Copilot Voice inside VS Code/Visual Studio/Neovim and JetBrains to generate models, unit tests and docs, find and… | ||
| The Code Quality Advantage How Empirical Data Shatters the Speed vs Quality Myth | Adam Tornhill | 35m |
Empirical analysis ties a 25-factor code health (25 factors) metric to business outcomes: unhealthy files correlate with 42% waste of developer time, green… | ||
| Check and Detect T SQL Code Analysis | Drew Skwiers-Koballa | 38m |
Shows three concrete tools and what they do: SQLCheck CLI produces fast C++ text output and flags issues like vague primary key names but fails on edge cases… | ||
| Code Reviews are Mostly Useless | James Powell | 45m |
Claim: code reviews are mostly useless because cultural failures turn them into five-line review nitpicks while a 10,000-line no-review sails through… | ||
| Power of AI and Code Quality and Performance | Mahesh Chan | 39m |
Live demo uses Visual Studio Copilot chat to read C# code, add comments, generate a blog-style README, and create unit tests and a text-file logger that writes… | ||
| GenAI Code Transparency—why it is important to know how much GenAI Code coders are using | Matt Van Itallie | 25m |
Companies need to know exact GenAI composition: an example product shows 18% gen code with about 8% blended and ~10% unmodified, while an older codebase is ~2%… | ||
| nothing matches | ||