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Interview practice for working developers
Practice the whole technical interview.
Practice with carefully curated interview content across fundamentals, coding, system design, production scenarios, and behavioral interviews. Each drill starts with a concise, complete response and adds examples, trade-offs, failure modes, and production judgment as the question becomes more demanding. Follow a structured .NET, Java, Python, or AI Engineering path, or choose a focused drill that fits the time you have.
Choose a role track
Role tracks
Structured paths, not random question dumps.
Flexible path32 sections
.NET Backend
Backend-focused .NET interview preparation.
A backend-focused .NET preparation path covering C#, ASP.NET Core APIs, data access, reliability, testing, and practical coding.
.NET BackendAPI Testing and Production Debugging LabsASP.NET Core Practical API Labs+4
Flexible path37 sections
.NET Full Stack
Full-cycle .NET full-stack interview preparation.
A role-based preparation path covering C#, ASP.NET Core APIs, data access, frontend integration, testing, deployment, system design, real-life scenarios, and behavioral interview topics.
.NET Full StackAPI Testing and Production Debugging LabsASP.NET Core Practical API Labs+8
Flexible path9 sections
Java & Spring Backend
Java and Spring Boot interview preparation grounded in real backend work.
A backend-focused Java and Spring preparation path covering language fundamentals, the JVM, collections, concurrency, Spring Boot, web APIs, persistence, security, testing, reliability, and production diagnosis.
Java & Spring Backend
Flexible path10 sections
Python Backend
Python backend interview preparation grounded in real service development.
A backend-focused Python preparation path covering language semantics, typing, FastAPI, Django, concurrency, data access, testing, security, background work, reliability, and production diagnosis.
Python Backend
Flexible path9 sections
AI Engineering
Applied AI interview preparation grounded in real product and production decisions.
A practical AI engineering path covering model fundamentals, structured output, retrieval, evaluation, application architecture, managed cloud platforms, agents, security, and production diagnosis.
AI Engineering
Try a drill
Start with one question and practice the answer out loud.
Comparison questionEasy~5 min
Authentication vs authorization in ASP.NET Core APIs
Separates identity establishment from permission decisions and applies ASP.NET Core schemes, policies, tenant boundaries, ownership checks, and correct challenge or forbid behavior.
.NETASP.NET CoreC#JWTOAuth2+1
Comparison questionMedium~7 min
EF Core tracking vs no-tracking queries
Explains EF Core tracking versus no-tracking queries with practical .NET data-access examples and production trade-offs.
.NETC#EF CoreSQL
Debugging scenarioHard~12 min
Diagnose a slow ASP.NET Core API endpoint
Investigate a slow API by checking database queries, blocking async, dependency latency, serialization, logging, and runtime pressure.
.NETASP.NET CoreC#
Editorial guidance
Interview guides
Practical advice for planning your preparation, communicating clearly, and handling the parts of an interview that are not solved by memorizing another answer.
Engineering judgment10 min read
What should block a pull request?
Work through a realistic code review to separate merge blockers, design concerns, team standards, and optional suggestions without losing quality or momentum.
Read the featured guide
AI engineering13 min read
You are not buying faster typing: the real value of AI tools for developers
Learn how to evaluate AI tools for developers through shorter feedback loops, better decisions, controlled risk, and measurable engineering outcomes.
Read guideArchitecture decisions12 min read
When a rewrite is avoidance disguised as architecture
Learn how to distinguish justified replacement from clean-slate avoidance, prove the need for a rewrite, and treat migration as part of the architecture.
Read guideFrom one developer to another
Why I built Aporeon
After more than 15 years of building software, months spent navigating technical interviews again, and dozens of interviews conducted from the other side of the table, I built Aporeon to make preparation clearer, practical, and easier to say out loud.
AleksandarDeveloper and creator of Aporeon
Read my story