Code Reviews for Secure, Clean, and Scalable Code

Enhancing Code Quality: Effective Reviews, Tools, and Collaborative Practices for Secure, Clean, and Scalable Software


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What you’ll learn

  • Understanding the importance of code reviews for ensuring secure, clean, and scalable code
  • How to conduct effective and efficient code reviews
  • Different types of code reviews and their respective goals and benefits
  • Roles and responsibilities of code reviewers and authors in the review process
  • Strategies and techniques for developing a constructive reviewer mindset
  • Utilizing code review tools and automation for comprehensive code analysis
  • Integrating automated tools into the development workflow for enhanced efficiency
  • Checkstyle Tool
  • Best practices for writing secure and scalable code
  • Establishing review guidelines and expectations for fair and objective evaluations
  • Providing constructive feedback and techniques for delivering criticism positively
  • Effective communication strategies during code reviews to promote collaboration
  • Overview of coding standards and adherence to best practices for different programming languages
  • Creating a positive code review culture to encourage teamwork and mutual learning
  • Building trust among team members through collaborative code reviews
  • Setting and enforcing coding standards to maintain code quality and consistency
  • Creating a code standards checklist to ensure adherence to best practices
  • Understanding scalability principles and applying best practices for scalable code development
  • Identifying common scalability challenges and addressing them effectively
  • Importance of security in software development and its integration into code reviews
  • Recognizing common security vulnerabilities and best practices for mitigation
  • Analyzing code for scalability issues and implementing improvements
  • Providing additional resources for ongoing learning and development in code review practices
  • Reviewing key concepts covered in the course and answering common questions in a Q&A session
  • Understanding development metrics and key performance indicators (KPIs) related to code quality
  • Participating in coding exercises to reinforce learning and practical application of concepts

Explore related topics

This course includes:

  • 23 hours on-demand video
  • 5 coding exercises
  • 11 articles
  • Access on mobile and TV
  • Closed captions
  • Certificate of completion

Coding Exercises

This course includes our updated coding exercises so you can practice your skills as you learn.

Image of coding exercise example

Course content

12 sections • 86 lectures • 23h 22m total length

  • Communication plan4:10
  • Tips to Improve Your Course Taking Experience0:44
  • Learn IT Bot – Your Free AI Learning Assistant17:50
  • Free AI Bot for My Students Only – No Sign-Up, FREE, Just Practice1:50

  • Introduction to Code Reviews13:22
  • Basics of Code Review Process23:54

  • Tools for Code Review and Code Analysis23:45
  • Important Note before the Next Lesson1:06
  • Overview of Pull Requests and Code Review Interface in GitHub11:12
  • Important to read before the next lesson0:28
  • Part 1 – Checkstyle: Adhering Coding Standards15:48
  • Part 2 – Checkstyle: Adhering Coding Standards16:04
  • PMD: Static Code Analysis23:05

  • Code Review Guidelines & Contribution Policy23:54
  • Coding Standards, Code Quality & Consistency25:14
  • Provide Feedback like a Pro18:54
  • Security Considerations During Code Review17:25
  • Scalability Principles in Code14:58

  • Why this section is important for this course?1:27
  • Single Responsibility Principle: User Registration and Authentication Refactoring Exercise
  • Open / Closed Principle: Shape Refactoring Challenge
  • Liskov Substitution Principle: Square and Rectangle Refactoring Challenge
  • Interface Segregation Principle: Worker Refactoring Challenge
  • Dependency Inversion Principle: Car-Engine Refactoring Challenge

  • Why this section is important for this course?1:16
  • Metric, KPI & OKR23:25
  • RAG Status to Present KPI2:18
  • Introduction to Engineering Excellence Metrics & KPIs4:52
  • Development Metrics & KPIs: Tech Debt Ratio & Index, Cyclomatic Complexity28:05
  • Development Metrics & KPIs: Unit Test Related Metrics – Part 116:06
  • Development Metrics & KPIs: Unit Test Related Metrics – Part 222:28
  • Development Metrics & KPIs: Duplicate Code & Commented Code Index24:25
  • Development Metrics & KPIs: Code Review Feedback Loop Time & Code Reviews22:23
  • Development Metrics & KPIs: Rules Compliance Index (RCI) & Violations26:02
  • Development Metrics & KPIs: Integration Test Coverage & End-to-End Test Coverage24:10
  • Build Metrics & KPIs: Time to Build, Build Verification Time & Pipeline Exec.23:34
  • Build Metrics & KPIs: Green & Broken Builds26:33
  • Release Metrics & KPIs: Cycle Time & Release Candidates21:32
  • Release Metrics & KPIs: Release Candidates Metrics21:46

  • Why this section is in this course and why it is important?2:12
  • Defect Management Metrics & KPIs: Number of Open Defects & Defect Leakage32:31
  • Defect Management Metrics & KPIs: Defects per Severity/Priority/Env/Root cause29:43
  • Defect Management Metrics & KPIs: Defect Density, Non-Resolved Blockers & Others28:36
  • Defect Management Metrics & KPIs: Quality Debt Index, Bug Fixing Projection28:44
  • Defect Reopen, Defect Rejection, Open Defects Change Rate, Removal Efficiency20:46
  • Defect Resolution Time, Defect Age, Detection to Resolution Ratio21:42

  • Test execution coverage, Cost of Quality & Test Design Coverage32:06
  • Testing Metrics & KPIs: Regression Time, Verified Issues Rate, Pass Rate19:01

  • % of Poduct, Automation, System Issues & Execution Frequency26:58
  • Execution Time, Test Success Ratio & % of Results Analyzed22:07
  • Regression Effectiveness, Percentage of Automated Tests & Auto Savings19:48

  • Why this section is part of the course – and why it is improtant1:50
  • OAuth, OAuth 2.0, JWT & OpenID Connect, Identity Provider17:40
  • Practice: Auth0 – Configuration of Identity Provider27:38
  • OAuth & Open ID Connect Configuration in Spring Boot – Part 117:11
  • OAuth & Open ID Connect Configuration in Spring Boot – Part 215:13
  • Testing Security: Testing of Spring Boot Endpoints – Part 116:31
  • Testing Security: Testing of Spring Boot Endpoints – Part 223:52
  • Protecting APIs with Rate Limiting16:21
  • Rate Limiting Practical Guide: Bucket4j17:10
  • Building Resilient Services with Resilience4j in Spring Boot. Circuit Breaker13:25
  • Circuit Breaker – Practice18:41
  • Spring Boot + Resilience4j: Retry Pattern28:54
  • Spring Boot + Resilience4j: Time Limiter Pattern20:23
  • Spring Boot + Resilience4j: Rate Limitter Pattern19:23
  • Spring Boot + Resilience4j: Bulkhead Pattern32:28
  • Microservices Patterns in Practice: Exploring API Gateway15:55
  • Spring Cloud Gateway: Practice17:46
  • Understanding Load Balancing: Concepts, Strategies, and Use Cases23:55
  • Implementing Load Balancing with Spring Cloud LoadBalancer24:13
  • Why this section is important for this course?1:05
  • VCS and Git Overview7:36
  • Git installation9:40
  • Create Git repository9:11
  • Ignoring and removing files from git tracking10:18
  • Git undoing things and Vi text editor8:56
  • Remote repository – Github, Bitbucket, GitLab10:20
  • SSH connection to the remote repository8:38
  • Git Branching16:54
  • Creating Pull Requests11:12
  • Updating local repository12:58
  • Merge conflicts13:48
  • Git rebase and Force Update16:48
  • Git rebase interactive9:01
  • Git reset11:10
  • Git stash12:11
  • Data recovery – Git reflog6:52
  • Git cherry pick11:01
  • Cloning remote repository: git clone0:30
  • Git and Eclipse integration14:46
  • Bonus lesson2:51

Requirements

  • Basic understanding of programming concepts
  • Proficiency in at least one programming language
  • Basic Familiarity with software development processes and version control systems (e.g., Git)
  • Prior experience in software development or related fields is recommended
  • Willingness to learn and actively engage in simulated code review exercises and collaborative activities

Description

Start a journey into the world of code reviews, where you’ll learn why it’s important to ensure your code is secure, clean, and scalable. This course will teach you how to conduct effective reviews that improve code quality and team collaboration. Explore different types of code reviews and understand the roles of reviewers and authors in the process.

Learn the basic principles and goals of code reviews, and discover strategies to develop a strong reviewer mindset. Through interactive exercises and simulations, you’ll practice evaluating code efficiently, giving helpful feedback, and communicating effectively during review sessions. Explore industry tools and automation that make code analysis easier and integrate smoothly into your development process.

Master the art of conducting fair, objective, and constructive code reviews by setting clear guidelines and expectations. Learn techniques for giving feedback that encourages improvement and fosters a supportive team environment. Gain insights into coding standards and best practices across various programming languages to ensure consistent code quality.

Discover how to create a positive code review culture that promotes trust, teamwork, and continuous improvement among team members. Engage in team-based review simulations to enhance collaborative skills and use coding exercises to identify scalability and security concerns. By the end of this course, you’ll be ready to lead effective code reviews and enhance software development within your organization. Join us to create secure, clean, and scalable code that drives innovation and excellence.

Who this course is for:

  • Software developers and programmers seeking to enhance their skills in code quality and collaboration through effective code reviews
  • Team leads, project managers, and software architects responsible for implementing best practices in code review processes
  • Quality assurance professionals interested in understanding code review strategies for improving software quality
  • Students and recent graduates looking to gain practical knowledge and hands-on experience in conducting code reviews
  • Anyone involved in software development who wants to learn about secure, clean, and scalable coding practices

🚨How to Enroll into free Udemy courses
👉 https://youtu.be/bN6IfeIW-6E?feature=shared


🎫 After adding the course into Cart at Checkout page, Apply Coupon Code➛.           JANUARY_FREE2_2026               Note:- After applying coupon, if it says ”This coupon has exceeded its maximum possible redemptions…”, then it means you’re Late, and first 500 coupons already redeemed.


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