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Why CrackLab Exists
Most interview and engineering resources are either shallow cheat-sheets or scattered blog posts. CrackLab was built by an engineer who wanted one place where a concept is explained from first principles, with a real problem, working code, trade-offs, and the questions an interviewer is likely to ask.
What You Can Learn
- System design (HLD) and low-level design with design patterns
- AI Engineering and Generative AI: LLMs, prompting, RAG, agents, fine-tuning, MCP
- AWS and cloud fundamentals
- Databases: transactions, SQL and NoSQL
- DevOps: Docker and Kubernetes
- Spring Boot, Spring Security, Spring AI and Kafka
- Core Java: concurrency, design patterns, event-driven microservices
- Interview preparation question banks with worked answers
How the Content Is Made
Lessons are written as a continuous narrative: a concrete scenario is introduced, and each concept is explained as the answer to a problem in that scenario, with code you can run and the trade-offs spelled out. Some interactive features, such as AI-generated system design walkthroughs and personalised roadmaps, are produced on demand by AI and are labelled as such. See our AI Disclaimer for details.
Who It's For
Backend and full-stack developers preparing for interviews, engineers moving into AI work, and students who want depth beyond tutorials. A free tier is available; paid plans unlock full content and higher AI usage limits.
Get in Touch
Questions, corrections or feedback: support@cracklab.in. More options are on the Contact page.