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AI Code Review Evaluate Python Code with Confidence
Published 9/2026
Created by Dmytro Vasyliev, Anton Voroniuk
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 17 Lectures ( 1h 45m ) | Size: 718.5 MB
Review AI-generated Python for correctness, security, performance, and edge cases with Claude Code automation.
What you'll learn
Understand how AI coding tools evolved from autocomplete to AI Agents, and what your role as a developer looks like today. Recognize the common problems in AI-generated code, so you know what to look for before you accept a suggestion. Review AI-generated Python code with clear evaluation checkpoints for correctness, logic, error handling, and input validation. Check missing scenarios, edge cases, test coverage, code quality, performance, and security in real review sessions. Automate parts of your review by creating your own Code Review Skill and using Claude Code commands. Define review rules with good and bad examples, and guide AI reviews with a CLAUDE file. And much more to enhance your skills as a developer.Requirements
Basic Python knowledge is needed to follow the code examples. Development experience is useful to understand the examples and use cases. No prior experience is required with AI coding tools.Description
This course is a practical guide to reviewing Python code that was written by AI. You will learn a clear set of evaluation checkpoints, then apply them in hands-on screencasts that cover correctness, error handling, edge cases, performance, and security. After that, you will automate the repetitive parts of the review with your own Code Review Skill, Claude Code commands, review rules, and a CLAUDE file. Short lessons, a role play, and quizzes help you build the habit step by step.
What's in this course?
Start with how AI coding tools evolved, what developers are responsible for today, what current models can do, and where AI-generated code usually goes wrong. Learn why evaluation checkpoints matter, then practice them on real Python code: correctness and logic, error handling and input validation, missing scenarios and test coverage, quality and performance, and security, including a role play on discussing AI-generated requirements with a reviewer. Automate your review workflow by creating your own Code Review Skill, exploring community skills, using Claude Code commands, defining rules with good and bad examples, and guiding reviews with CLAUDE.This Course includes
Theory and Practice: Short, focused lessons with clear explanations and real examples (3-10 minutes each).able Resources: May include PDF guides, project files, and practical examples for hands-on learning.Udemy Certificate: Receive a certificate of completion after finishing the course.Support: Get direct help from the instructor through the Q&A section whenever you have questions.Meet your instructor!Dmytro Vasyliev - Senior Front-end Engineer withmore than 10 years of professional experience in developing complex Web Applications. I have extensive experiencewith React and other frameworks, having used it in various projects to build dynamic and efficient user interfaces.
Do you need to be concerned?
Join our course today to learn how to build your first application in React!
Who this course is for
Python developers who use AI tools and want to review the generated code with confidence. Developers who review pull requests and want a repeatable checklist for AI-written code. Students and professionals who want practical AI code review workflows instead of theory.Homepage
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