AI System Design Interview Prep — Architecture, Scale & Trade-offs
System design interviews test your ability to think at scale. adjiQ guides you through architecture decisions, bottleneck analysis, and trade-offs in real time — during the actual interview.
Start System Design PrepWhat System Design Interviews Test
System design interviews assess your ability to design scalable, reliable, and maintainable systems. Unlike coding interviews, there is no single correct answer — interviewers evaluate your thought process, your ability to identify trade-offs, and how you handle ambiguity.
Typical questions: • "Design Twitter/Facebook Feed" • "Design a URL shortener like Bit.ly" • "Design a distributed cache" • "Design a ride-sharing system like Uber" • "Design a real-time collaborative document editor" • "Design a video streaming platform like YouTube"
adjiQ knows the canonical approach for each of these and can guide you live.
Framework: How to Approach Any System Design Question
adjiQ teaches and applies the RDSP framework:
1. Requirements Clarification — functional and non-functional requirements, scale estimates 2. Data Modeling — entities, relationships, storage format (SQL vs NoSQL) 3. System Components — API design, service decomposition, data flow 4. Performance & Scale — caching (Redis), CDN, load balancers, horizontal scaling
For each component, adjiQ explains when to use it and why — not just what it is.
Key System Design Concepts Covered
• CAP Theorem — consistency vs. availability trade-offs • Database sharding, replication, and partitioning strategies • Message queues: Kafka, RabbitMQ, SQS — when to use each • Caching layers: write-through vs. write-back, TTL strategies, cache invalidation • API design: REST vs GraphQL vs gRPC for different use cases • Rate limiting: token bucket, leaky bucket algorithms • Content Delivery Networks: edge caching, origin servers • Distributed consensus: Raft, Paxos, leader election • Microservices vs. monolith trade-offs • Observability: logging, metrics, tracing
Real-Time Guidance During the Interview
When your interviewer says "Design a notification system for 100 million users," adjiQ immediately:
1. Suggests the clarifying questions you should ask 2. Proposes a high-level architecture to sketch 3. Identifies the key bottlenecks to address 4. Suggests specific technologies with justifications 5. Prepares you for follow-up questions
You drive the conversation — adjiQ is your silent technical advisor.
Frequently Asked Questions
How does adjiQ help with system design specifically?
adjiQ recognizes the system design question and provides real-time architecture guidance, component suggestions, scaling strategies, and trade-off analysis.
Does it cover distributed systems topics?
Yes. CAP theorem, Kafka, Redis, database sharding, microservices, API design, rate limiting, CDN, and more.
Is it useful for Staff/Senior Engineer interviews?
Yes. adjiQ scales to the seniority level — Staff and Principal Engineer interviews get deeper trade-off analysis and architectural decision frameworks.
Does it work for ML system design?
Yes. Feature stores, model serving, training pipelines, A/B testing frameworks, and real-time inference systems are all covered.
Can I use it for the AWS or GCP architect certification prep?
adjiQ is focused on interview prep but covers the same concepts tested in cloud architect certifications.
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