> Markdown version of [/videos/349-build-a-ci-cd-pipeline-to-automate-code-reviews-and-ensure-code-quality?t=315](https://www.wearedevelopers.com/videos/349-build-a-ci-cd-pipeline-to-automate-code-reviews-and-ensure-code-quality?t=315). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Build a CI/CD pipeline to automate code reviews and ensure code quality

Are manual code reviews wasting twenty percent of your engineering time? Build an automated CI/CD pipeline to instantly reject bad commits and AI-generated vulnerabilities before they reach human eyes.

- **Speakers:** Julien Delange
- **Event:** WeAreDevelopers LIVE
- **Published:** February 1, 2022
- **Duration:** 45:28
- **URL:** https://www.wearedevelopers.com/videos/349-build-a-ci-cd-pipeline-to-automate-code-reviews-and-ensure-code-quality

## Summary

Manual code review, while crucial for educating engineers and enforcing best practices, consumes up to twenty percent of engineering time and is inherently prone to human bias. Because maintaining software represents the most significant cost in development—as code is read far more often than it is written—optimizing the review process is essential for long-term health. Integrating automated code review within a CI/CD pipeline efficiently addresses this bottleneck. By providing immediate feedback on pull requests, developers can instantly correct stylistic deviations, overly generic exceptions, and unreachable statements before manual review begins. Automated tools serve as a robust first line of defense, accelerating software development velocity while reserving manual human oversight for evaluating complex business logic and feature requirements. Utilizing platforms like GitHub Actions alongside tools such as Codiga enforces strict baseline metrics directly in the repository workflow. Key code health indicators include severity-weighted bug counts, function length and complexity—which should generally fit on a single screen to maximize readability—and rigorous duplicate code detection. A comprehensive CI/CD pipeline can be configured to explicitly reject commits that drop below designated quality thresholds or exceed maximum defect rates. Furthermore, as AI coding assistants increase in popularity, stringent CI/CD boundaries have become even more critical to catch potential vulnerabilities or outdated code snippets introduced by generative models, ensuring that architectural maintainability and codebase safety are never compromised.

**Keywords:** continuous integration pipeline, automated code review, code quality metrics, github actions workflow, static code analysis, pull request automation, code maintainability standards, software development velocity, duplicate code detection, function complexity tracking, security vulnerability scanning, cicd pipeline configuration, ai coding assistant risks, syntax error detection, code standard enforcement

## Chapters

1. **The goals of continuous integration and automated code reviews** (00:03) — Automating code quality checks and pull request reviews prevents bugs from reaching production environments.
1. **The purpose and benefits of manual code reviews** (01:41) — Code reviews ensure functional requirements are met, prevent security vulnerabilities, and enforce coding standards for easier maintenance.
1. **The performance costs and human biases of manual reviews** (03:54) — Manual code reviews consume significant engineering time and are prone to human errors and oversight.
1. **How automated code reviews streamline the feedback loop** (05:15) — Automated platforms intercept pull requests to instantly flag syntax, formatting, and security issues directly on github.
1. **Limitations of relying solely on automated code analysis** (07:07) — Automated tooling can verify syntax and safety practices but cannot validate business logic or feature requirements.
1. **Installing and configuring a code reviewer application on GitHub** (07:52) — Integrating automated review apps requires selecting targeted repositories and creating baseline projects without managing complex configuration files.
1. **Identifying error handling and dead code in Python logic** (10:04) — Analyzing a python snippet reveals common anti-patterns like catching overly broad exceptions and executing unreachable print statements.
1. **Submitting pull requests to trigger automated code annotations** (14:38) — Pushing flawed code to a branch surfaces automated inline comments that highlight non-specific exceptions and unreachable logic.
1. **The importance of monitoring long-term codebase quality trends** (20:21) — Establishing a baseline code quality involves tracking function sizes, readability, and the accumulation of copied logic over time.
1. **Defining key metrics for function complexity and code duplication** (23:59) — A comprehensive quality score aggregates high-severity vulnerabilities, excessive function length, nested statements, and duplicated subroutines.
1. **Building a GitHub Action pipeline to enforce quality gates** (28:10) — A continuous integration workflow rejects pull requests if the required quality score or defect rate thresholds are not satisfied.
1. **Defining configurable rules for automated code quality scores** (37:01) — Quality metrics combine open-source community standards with configurable thresholds for function complexity and line limits.
1. **Comparing open-source analysis with proprietary scanning tools** (40:20) — Utilizing community-driven configuration matches evolving developer best practices often more closely than isolated proprietary scanners.
1. **The immediate future of artificial intelligence in code generation** (41:34) — Current AI coding assistants present security risks and licensing concerns, making collaborative snippet sharing a safer alternative.

## Related Moments

- [Filtering AI code generations and automating pull request reviews](https://www.wearedevelopers.com/videos/1545-real-world-security-for-busy-developers) (from "Real-World Security for Busy Developers")
- [Automating quality control for AI generated code contributions](https://www.wearedevelopers.com/videos/1803-wearedevelopers-live-keeping-up-with-styles-data-more) (from "WeAreDevelopers LIVE – Keeping Up with Styles, Data & More")
- [Enforcing automated code reviews to manage accelerated delivery](https://www.wearedevelopers.com/videos/1902-behind-the-scenes-of-building-vs-code-harald-kirschner) (from "Behind the Scenes of Building VS Code - Harald Kirschner")
- [Structuring CI/CD pipelines with integrated security and quality checks](https://www.wearedevelopers.com/videos/83-enabling-automated-1-click-customer-deployments-with-built-in-quality-and-security) (from "Enabling automated 1-click customer deployments with built-in quality and security")
- [Automating quality testing through CI/CD evaluation pipelines](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) (from "Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure")
- [Addressing the post-coding bottlenecks in software delivery pipelines](https://www.wearedevelopers.com/videos/100249-ai-wrote-the-code-now-what) (from "AI Wrote the Code. Now What?")

## Related Articles

- [Code reviews might actually be pointless](https://www.wearedevelopers.com/magazine/519-code-reviews-might-actually-be-pointless)
- [Transforming Software Development: The Role of AI and Developer Tools](https://www.wearedevelopers.com/magazine/527-transforming-software-development-the-role-of-ai-and-developer-tools)
- [GitHub Copilot: Beyond the Basics – 10 Ways to Elevate Your Coding](https://www.wearedevelopers.com/magazine/524-github-copilot-beyond-the-basics-10-ways-to-elevate-your-coding)
- [Liuba Gonta and Yuliya Khadasevic - GitHub Copilot Beyond the Basics - 10 Ways to Elevate Your Coding](https://www.wearedevelopers.com/magazine/490-liuba-gonta-and-yuliya-khadasevic-github-copilot-beyond-the-basics-10-ways-to-elevate-your-coding)

## Related Jobs

- [Staff Developer Advocate, GitHub Security Lab](https://www.wearedevelopers.com/jobs/ext/1921051-staff-developer-advocate-github-security-lab) at **GitHub**
- [Staff Software Engineer, Copilot Experiences](https://www.wearedevelopers.com/jobs/ext/164361-staff-software-engineer-copilot-experiences) at **GitHub**
- [Senior Software Engineer](https://www.wearedevelopers.com/jobs/ext/15942-senior-software-engineer) at **GitHub**
- [Senior Software Engineer, Enterprise Products](https://www.wearedevelopers.com/jobs/ext/1841248-senior-software-engineer-enterprise-products) at **GitHub**
- [Senior Software Engineer,Billing](https://www.wearedevelopers.com/jobs/ext/1991843-senior-software-engineer-billing) at **GitHub**
- [Senior Software Engineer](https://www.wearedevelopers.com/jobs/ext/159190-senior-software-engineer) at **GitHub**