Code Comprehension & Debugging
AI generates code. But it can't debug it, explain it to your team, or take ownership when it breaks. This course makes you the developer who can — across any language, any codebase.
Why Code Comprehension?
His senior dev went on leave. A production bug came in on day two. The codebase was 80,000 lines and he'd written maybe 2,000 of them. B01 teaches you exactly what to do in that moment — systematically, not by guessing.
of a developer's working time is spent reading and understanding code they didn't write — this course makes that time productive instead of terrifying.
engineers say debugging unfamiliar code is harder than writing new code — yet almost no training programme teaches it directly. This one does.
Flipkart, Swiggy, Meesho, Razorpay, Atlassian, startups.
Want the full programme details?
Download our comprehensive brochure (PDF)
Learning Outcomes
By completing this programme, you will be able to:
- Read and understand unfamiliar codebases — in any language — within minutes.
- Trace execution paths, identify root causes, and fix bugs under production pressure.
- Explain code clearly to teammates, in code reviews, and in technical interviews.
- Write structured test suites that catch regressions before they reach production.
- Debug AI-generated code adversarially — identify logic errors, edge cases, and hidden failures.
- Handle real-world debugging scenarios: memory leaks, race conditions, and API failures.
Your Learning Roadmap
A week-by-week path from foundations to job-readiness.
Reading Code Like a Senior Engineer
Mental models for understanding unfamiliar codebases: structure, dependencies, flow.
Debugging Foundations
Systematic debugging process — isolate, hypothesise, test, verify.
Debugger Tools in Practice
Use VS Code debugger, Chrome DevTools, and pdb across Python and JavaScript.
Reading & Debugging AI-Generated Code
Spot logical errors, type mismatches, and hallucinated APIs in LLM output.
Git & Version Control for Debugging
Use git bisect, blame, and log to trace when and why bugs were introduced.
Testing & Test-Driven Debug
Write unit tests and use property-based testing to catch edge cases systematically.
Performance Bugs & Memory Leaks
Profile code, find bottlenecks, and diagnose memory issues in production.
Async, Concurrency & Race Conditions
Debug multi-threaded and async code — the hardest class of bugs.
Adversarial Testing of AI Code
Use Hypothesis and mutmut to stress-test and mutation-test AI-generated code.
Code Review & Communication
Give and receive structured code reviews that build team quality standards.
Capstone: Debug a Production Incident
Reproduce, diagnose, and fix a real production-grade bug in a 3,000-line codebase.
Skill Gain Forecast
Proficiency benchmarks based on cohort outcomes. These are measured at your Week 8 oral viva — not estimated from syllabus coverage.
Proficiency you'll reach by Week 8
Proficiency you'll reach by Week 8
Proficiency you'll reach by Week 8
Proficiency you'll reach by Week 8
Proficiency you'll reach by Week 8
Proficiency you'll reach by Week 8
Skills You Will Master
Code Reading
Mental models for unfamiliar codebases
Systematic Debugging
Root-cause analysis and isolation
Debugger Tools
VS Code, Chrome DevTools, pdb
Unit Testing
pytest, Jest, and test structure
Property-Based Testing
Hypothesis for adversarial test cases
Mutation Testing
mutmut for AI code verification
Git Forensics
bisect, blame, log for bug tracing
Performance Profiling
Memory and CPU bottleneck analysis
Tools Covered
Hands-on experience with the tools used by professionals.
Job Roles You Can Target
- Software Engineer (Mid–Senior)
- Backend Developer
- Quality Engineer
- Code Reviewer
- Tech Lead
- Platform Engineer
Who Is This For?
Students & Graduates
Developers with 1+ years of coding experience in Python, JavaScript, or Java.
Working Professionals
Engineers who regularly use AI tools to write code but struggle to verify or debug the output.
Career Changers
Freshers from CS backgrounds with strong fundamentals who want to be production-ready.
Talk to Our Team
Get guidance on curriculum, career outcomes, and learning support.
Is This Course Right For You?
This course is deliberately specific. Here's who gets the most out of it — and who should look at another stream first.
✓ Great fit
✕ Not the right fit
Code Comprehension & Debugging FAQs
Frequently Asked Questions
Primary examples use Python and JavaScript. Core debugging concepts apply to any language, and we provide exercises in Java and Go for comparison.
Neither — it is about understanding and debugging code, including AI-generated code. We use debuggers, testing frameworks, and forensic tools.
We work with codebases ranging from 200 to 3,000 lines — real-world scale, not toy examples.
We use Hypothesis (property-based testing) and mutmut (mutation testing) to find bugs in AI-generated code that normal testing would miss.
Yes — code reading and debugging questions are increasingly common in system-level and senior-role interviews.