Round map
What the interview evaluates, how the round flows, and what changes across seniority levels.
Premium interview resources
Prepare for the conversation, not just the question.
Structured playbooks for engineers who want to explain decisions, handle follow-ups, and demonstrate judgment under interview pressure.
Explore the 3 tracks01 / Track Premium
System Design
Turn an open-ended prompt into a clear conversation about requirements, scale, boundaries, trade-offs, and failure handling.
- Requirements and estimation
- Architecture decomposition
- Data, consistency and scale
- Failure modes and trade-offs
Representative promptDesign a multi-tenant notification platform
02 / Track Premium
AI Engineering
Prepare for interviews that test model judgment, production architecture, evaluation, reliability, cost, and responsible delivery.
- LLM and retrieval foundations
- RAG and agent architectures
- Evaluation and observability
- Safety, latency and cost
Representative promptDesign and evaluate a production RAG system
03 / Track Premium
Low-Level Design
Turn ambiguous object-design prompts into maintainable models with clear responsibilities, explicit invariants, extensible boundaries, and testable interactions.
- Requirements, use cases and invariants
- Objects, responsibilities and boundaries
- State, interactions and concurrency
- Extensibility, testing and trade-offs
Representative promptDesign a multi-level parking lot
Inside every track
A complete preparation system.
Every track follows the same interview-first structure, with examples, exercises, and evaluation criteria adapted to the subject.
Answer framework
A repeatable structure for clarifying, designing, explaining, and closing an interview answer.
Concept review
Focused revision notes for the concepts that support confident technical decisions.
Question drills
Curated prompts with difficulty, time boxes, constraints, and interviewer follow-ups.
Worked solutions
Detailed walkthroughs that expose decisions, alternatives, trade-offs, and failure handling.
Weak-answer clinic
Common mistakes, incomplete answers, misleading shortcuts, and ways to recover in the room.
Follow-up bank
The deeper questions interviewers use to test scale, correctness, judgment, and ownership.
Evaluation rubric
Score technical depth, structure, communication, trade-off awareness, and completeness.
Practice plan
Two-, four-, and six-week paths that turn the material into a realistic preparation routine.
Final review
Last-minute checklists, answer canvases, worksheets, and a maintained version history.
Reader feedback
Useful when the interview stops being predictable.
Early feedback from engineers using the playbooks to structure practice and sharpen technical conversations.
“The framework stopped me from rushing into boxes and arrows. My practice answers now begin with constraints and stay much easier to follow.”
“The AI Engineering track connected RAG design with evaluation, reliability, and cost—the areas most interview material treats separately.”
“The object-design framework helped me explain responsibilities and invariants before writing classes. My solutions feel deliberate instead of improvised.”
“The follow-up bank is the strongest part for me. It exposes weak assumptions that a polished first answer can otherwise hide.”
“I finally had a focused preparation plan instead of an endless list of AI topics. The evidence map made progress concrete.”
“Seeing why common answers fail was more useful than another perfect solution. It changed how I review my own designs.”
Member collection
Learn the framework. Practice the decisions. Review the evidence.
Members will receive the complete playbooks, downloadable practice material, worked examples, evaluation rubrics, and future revisions.
3 focused tracks Practice worksheets Maintained updates