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AI-assisted development

AI-Assisted Debugging

Use AI as a debugging partner while practising how to spot, verify and fix errors and consider security risks.

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Course topics

AI-assisted development

  • AI-assisted debugging
  • Spotting AI mistakes
  • Testing and security

You review the code

Find your fit

Is this a useful starting point?

For experienced programmers familiar with debugging, Git and automated testing.

Starting point
Expert
Course length
3 total hours
Lessons
48 lectures

Course by Arkadiusz Włodarczyk

Course last updated: 05/2026

Requirements
  • Strong programming skills in at least one language (Python, Java, C++, or similar).
  • Experience with debugging workflows and version control (Git).
  • Familiarity with automated testing (unit tests, integration tests).
  • Basic understanding of AI tools like ChatGPT or similar assistants is helpful but not required.
What is included
  • 2.5 hours on-demand video
  • 24 articles
  • 1 downloadable resource
  • 1 practice test
  • Access on mobile
  • Certificate of completion

DoJo membership: A$250 per month per seat, excluding GST. Includes fortnightly group support and a private member community.

Explore the lessons

Course 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

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