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AI-Driven Debugging: Enhancing Debugging Skills with AI

Learn how to spot, verify, and fix bugs with AI as your coding partner

Rating: 4.6186 ratings1,001 students3 total hours48 lectures
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AI-Driven Debugging: Enhancing Debugging Skills with AI Expert

Course facts

  • Last updated 05/2026
  • English English [Auto], Korean [Auto]
  • Instructor: Arkadiusz Włodarczyk
  • practical AI capability and workflow improvement

What you'll learn

Practical outcomes

  • Spot exactly where AI helps in debugging and where it wastes time
  • Use AI tools like ChatGPT, Claude Sonnet, and Copilot to speed up root cause analysis
  • Feed AI clean, targeted context so it gives useful answers instead of guesses
  • Write unit tests, edge cases, fuzz tests, and benchmarks with AI’s help
  • Catch AI’s mistakes before they cause bigger problems in production
  • Audit AI-generated fixes using diff tools, linters, and static analysis
  • Identify and prevent AI-driven security risks like injection flaws or weak validation
  • Run full-loop debugging with AI from bug report to verified patch
  • Build and refine your own AI-powered debugging checklist for real-world projects
  • Blend AI assistance with your own expertise to become a faster, more reliable debugger

Curriculum

10 sections • 48 lectures • 2h 55m total length

Introduction - Debugging in an AI World3 lectures • 11min
  1. AI in Debugging - What’s Real and What’s Hype07:51
  2. Activity: First AI Debug Attempt02:50
  3. Key points00:15
Modern Debugging Fundamentals - With AI in the Loop8 lectures • 30min
  1. Feeding AI Clean Context and Isolating the problem09:53
  2. [TEMPLATE] - debugging template prompt00:27
  3. Isolating code/context with AI plugins for VSC06:35
  4. Context Challenge01:30
  5. AI for Code Understanding07:45
  6. Useful prompts for code understanding in action02:40
  7. 4 [PROMPTS] for understanding code00:33
  8. Key points00:17
Spotting AI’s Mistakes - Hallucinations and Red Flags4 lectures • 17min
  1. How AI “Fixes” Can Hide Bugs08:58
  2. Demanding Explanations from AI - Don’t Stop at “It Works” - Learn the Why06:55
  3. Explanations checklist [PRINTABLE]00:20
  4. Key points00:21
Security Risks - Bugs That Bite Later7 lectures • 26min
  1. Common AI Security Pitfalls09:20
  2. Using AI for Security Checks01:13
  3. [PROMPTS] Useful prompts for security checks01:28
  4. Google AI STUDIO and Code Web Chat - Why be careful using free/low AI tiers?07:53
  5. When AI Oversimplifies Security Logic05:30
  6. Security Context Prompt [TEMPLATE]00:07
  7. Key points00:18
  8. Context, Isolation, annd Code Understanding with AI 4 questions
Full-Loop Debugging - AI as a Workflow Partner13 lectures • 54min
  1. Running AI agents in practical environment - Automating Bug Hunts with Codex07:32
  2. Prompt for finding bugs in CODEX00:34
  3. AI reviewing other AI - what's that and what are benefits?03:42
  4. How to setup automatic agent codex connector on your pull requests00:30
  5. Setting up Qodo merger reviewer05:13
  6. Qodo - review staged/unstaged changes offline01:44
  7. CodeRabbit offline07:20
  8. From Issue to Action Plan: A Guide to Code Rabbit & Linear09:07
  9. CodeRabbit & Codex: Automating Your Code Reviews11:57
  10. Stop Waiting for Code Reviews: Automate Fixes with Cloud Code & CodeRabbit02:57
  11. ai-guidelines.md02:21
  12. Activity: End-to-End Debug Challenge01:01
  13. Key points00:21
Testing Smarter - With AI as Your Pair6 lectures • 23min
  1. Generating Unit Tests with AI06:46
  2. Prompt for generating unit tests06:04
  3. AI for Edge Cases and Fuzz Testing03:28
  4. [PROMPT] template for Fuzz Testing05:15
  5. Activity: Expand Test Coverage with AI01:46
  6. Key Points00:07
Your Debugging Playbook3 lectures • 9min
  1. AI as a Multiplier, Not a Replacement08:20
  2. Key points00:13
  3. Human Debugging CheckList00:55
Bonus Section1 lecture • 1min
  1. Bonus lecture00:32
Summary2 lectures • 3min
  1. Test Your AI debugging skill 9 questions
  2. AI Debugging Prompt Pack01:07
  3. Key points for entire course [NOTES]02:22
Bonus1 lecture • 1min
  1. Bonus00:46

Who it is for

  • Software developers and software engineers who want to integrate AI into their debugging process.
  • Senior and lead engineers looking to boost debugging efficiency with AI-assisted workflows.
  • Developers responsible for testing, security validation, and performance optimization.
  • Professionals seeking to crosscheck and validate AI-generated debugging solutions for accuracy and safety.

Course description

Overview

Debugging is hard. Adding AI into the mix can make it faster-or much riskier. Tools like Copilot, and other AI assistants can suggest fixes, but they can also introduce new bugs or hide existing ones. This course shows you how to use AI as a debugging partner without losing control of your code.

What this course gives you A practical system for combining classic debugging skills with AI assistance. You’ll learn when AI can speed you up, when it can mislead you, and how to always keep verification in your workflow.

What you’ll learn How AI fits into modern debugging Ways to feed AI clean context for better suggestions Techniques to isolate problems with and without AI Using AI to generate and expand test coverage Spotting AI “fixes” that hide new bugs Fact-checking AI explanations with tools and checklists Recognizing and managing AI security risks Building a full-loop debugging workflow with AI agents Creating your personal debugging checklist How we’ll work You’ll: Run activities that train you to isolate code issues with AI help Practice generating unit tests and fuzz tests with AI Audit AI patches and spot hidden mistakes Learn to manage AI as if it were a junior developer Build and refine your own debugging playbook Why it matters By the end, you’ll be able to treat AI as a multiplier, not a replacement. You’ll debug faster, with stronger safeguards, and with a clear system for verifying every AI-assisted change. No hype. No blind trust. Just real debugging skills, enhanced with AI.

Instructor

Arkadiusz Włodarczyk

Arkadiusz Włodarczyk Excellent teacher, Expert in Programming I believe that everyone has the ability to develop software if they are taught properly. Including you. I’ll make sure you know the basics before we move on. After my course, you will finally understand everything that you code. I've been programming & developing websites for over 20 years. I've done a lot of work in that field, and today I want to share what I've learned with you. I've created 27 very popular video courses about programming, web development, and math. Over 350,000 students have enrolled in my Udemy courses. If you have any questions regarding any of the topics covered in my courses, please feel free to ask! :-)