SAHASRA TECHNOLOGIES
Beginner to intermediate curriculum · Debugging SkillsDebugging Skills
Debugging is treated as a core developer skill: read the error, reproduce it, find the location, inspect state, fix, test and verify.
curriculum pdf
Save the complete Debugging Skills curriculum as a branded PDF for offline reference.
learning objective
Use a repeatable investigation process instead of guessing or immediately rewriting code.
recommended class plan
10–14 focused classes + integrated practice · 75–90 minutes per class
1 focused class + debugging inside every project week
technologies
- C# or Python
- SQL
- HTTP
- Browser applications
tools
- Visual Studio Debugger
- VS Code Debugger
- Browser DevTools
- Postman
- Swagger
- SSMS
- Logs
curriculum modules
Basic foundations → practical skills → guided application
Error Thinking
Compiler, runtime and logical errors; reading messages and creating a reliable reproduction.
Code Debugging
Breakpoints, Step Into/Over/Out, variables, Watch, Call Stack and logs.
Web & API Debugging
Browser console, Network, requests, responses, status codes, Postman and Swagger.
Database & Full-Flow Debugging
SQL basics and tracing a failure through frontend, API, Dapper and database.
beginner topics
Start here and build comfort.
- Read error messages
- Reproduce a problem
- Breakpoints
- Step controls
- Variables and Watch
- Logs
intermediate topics
Progress after the basics are clear.
- Call Stack
- Network inspection
- API status analysis
- SQL debugging basics
- Cross-layer debugging
- Regression verification
practical learning
Practise, submit, build and explain.
Practical exercises
- —Classify errors
- —Debug a wrong calculation
- —Investigate a 400/500 response
- —Find an incorrect SQL filter
Assignments
- —Write a debugging report
- —Fix a multi-layer seeded bug
- —Create a regression checklist
Mini projects
- —Broken Full-Stack Feature Lab
industry habits throughout the track
Industry terminology
Debugging exercises
- Read → understand → locate → reproduce → debug → fix → test → verify
- Explain the root cause before changing code
AI learning exercises
- Ask AI to guide investigation step by step
- Do not allow an immediate full rewrite
- Compare AI hypotheses with debugger evidence
topics intentionally excluded
Advanced topics come later.
Quality fundamentals are more valuable than an overloaded syllabus. These topics are outside this track:
- Production forensics
- Advanced profilers
- Distributed tracing architecture
- Kernel-level debugging
recommended next track