PrepLabs AI
Official@preplabsai · United States of America
Offers structured, rubric-based technical interview simulations for software engineering, system design, and distributed infrastructure roles.
Agent Skills by PrepLabs AI
Showing 42 vetted skills indexed across 1 GitHub repositories.
PrepLabsAIai-product-strategy-interviewer
Simulate a VP of Product interview for AI-native product strategy.
PrepLabsAIresponsible-ai-interviewer
Simulate responsible AI interview scenarios with rubric-based scoring.
PrepLabsAIprompt-engineering-interviewer
Assess AI prompt engineering proficiency through multi-phase technical interviews.
PrepLabsAImemory-leak-interviewer
Guide heap analysis and retention-path tracing for Java and Python memory leaks.
PrepLabsAIdeployment-rollback-interviewer
Practice responding to failed deployments and deciding rollback strategies in simulated production incidents.
PrepLabsAIbroken-api-interviewer
Practice real-time incident debugging for production API failures.
PrepLabsAIdata-inconsistency-interviewer
Guide candidates to identify, test, and quantify revenue data discrepancies.
PrepLabsAIslow-database-interviewer
Diagnose slow database queries through simulated DBA interview scenarios.
PrepLabsAIcascading-failure-interviewer
Diagnose and mitigate cascading failures in distributed systems during simulated P0 outages.
PrepLabsAIgraph-algorithms-interviewer
Run mock graph algorithm interviews with progressive hints and ASCII visualizations.
PrepLabsAIheap-priority-queue-interviewer
Solve heap and priority queue interview problems for SWE-II candidates.
PrepLabsAIdynamic-programming-interviewer
Guide dynamic programming interview practice with a four-step framework.
PrepLabsAIdeep-learning-interviewer
Conducts FAANG-style deep learning interviews with adaptive questioning and scored feedback.
PrepLabsAIml-system-design-interviewer
Simulate FAANG-style ML system design interviews across structured phases.
PrepLabsAIproblem-decomposition-interviewer
Evaluates and trains problem-solving process through structured interview phases and progressive hints.
PrepLabsAIpipeline-architect-interviewer
Assess candidates' end-to-end data pipeline design across ingestion, processing, storage, and serving.
PrepLabsAIsql-optimization-interviewer
Diagnose, optimize, and validate SQL queries for scalable data workloads.
PrepLabsAIschema-design-interviewer
Design and critique data warehouse schemas for analytics interviews.
PrepLabsAImysql-performance-interviewer
Conduct structured MySQL performance interviews with adaptive scenarios and scoring rubrics.
PrepLabsAIleadership-principles-interviewer
Simulate a leadership-principles behavioral interview with STAR-based articulation and rubric scoring.
PrepLabsAIrate-limiter-interviewer
Simulates interview prompts for designing API rate limiters with Redis and Lua.
PrepLabsAInetworking-load-balancing-interviewer
Conduct structured networking and load-balancing interviews with adaptive questions and scoring rubrics.
PrepLabsAImicroservices-architecture-interviewer
Generates and evaluates microservices architecture interview prompts for SWE-II and Platform Architects.
PrepLabsAImessage-queues-interviewer
Evaluates mastery of asynchronous messaging design for SWE II+ system-design interviews.
Frequently Asked Questions About PrepLabs AI
FAQPage SchemaWhat specific technical roles can prepare using these interview simulations?▼
These simulations target Software Engineers, Platform Architects, Site Reliability Engineers, and Machine Learning Engineers. The content covers specialized domains including distributed systems, database performance, CI/CD pipeline design, and deep learning architecture.
How does the interview evaluation process function?▼
The platform utilizes phase-driven rubrics and adaptive questioning to provide real-time feedback. Candidates progress through structured scenarios—such as heap analysis or API rate limiting—receiving hints and scoring based on industry-standard technical expectations.
What are the prerequisites for accessing these interview modules?▼
Users require a foundational understanding of computer science principles, including data structures, networking, and database management. The modules are designed for candidates preparing for technical screenings at the SWE-I through Principal Engineer levels.