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AI writes the code. Decision still needs you.

Code is cheap now. Deciding what to build is not: where the data lives, what fails first, what it costs at ten times the load. Learn system design by building it, run it under real traffic, and defend every decision like an architect.

  • Real capacity, latency and cost
  • Runs in your browser, no install
  • Graded on evidence, not keywords
  • The course is free, forever
  • 151 guided lessons
  • Deterministic, repeatable runs
  • High- and low-level design
  • LLM Inference
  • Embedding Service
  • Vector Database
  • Retriever
  • Prompt Cache
  • Model Router
  • Guardrail
  • API Server
  • Lambda Function
  • Docker Container
  • CDN Edge Server
  • PostgreSQL
  • MongoDB
  • Redis Cache
  • Object Storage
  • Elasticsearch
  • Cassandra
  • DynamoDB
  • Snowflake
  • Kafka
  • RabbitMQ
  • SQS Queue
  • SNS Topic
  • Event Bus
  • Pub/Sub
  • Load Balancer
  • API Gateway
  • WebSocket Gateway
  • DNS
  • CDN
  • NAT Gateway
  • Metrics Store
  • Log Aggregator
  • Distributed Tracing
  • Alerting
  • Grafana
  • Firewall
  • Secrets Manager
  • Web App Firewall
  • IAM
  • Certificate Manager
  • Encryption / KMS
  • Web Browser
  • Mobile App
  • Desktop App
  • IoT Device
  • VPC Network
Why system design, why now

AI made code cheap. Judgement got expensive.

Assistants write working code in seconds. What they cannot own is the decision behind it, and that is what teams now hire for.

  1. What AI hands you · Services

    Writes the service in minutes.

    ServicesDecide which services should exist, and where they split.
  2. What AI hands you · Data

    Generates a schema that compiles.

    DataChoose where state lives and how it stays consistent.
  3. What AI hands you · Scale

    Suggests “add a cache”.

    ScaleKnow what that cache does when it goes cold at peak.
  4. What AI hands you · Failure

    Lists the failure modes.

    FailureDecide what may degrade and what must never fail.
  5. What AI hands you · Cost

    Estimates a monthly bill.

    CostOwn the trade between latency, reliability and spend.
  6. What AI hands you · The interview

    Can recite the textbook answer.

    The interviewDefend one design under follow-up questions.
The product tour

Learn it. Build it. Break it. Then defend it.

One loop, five steps, the same design all the way through. Pick a step or let it play.

The ArchiDepth engine

Everything you need to think like an architect.

Learn a concept, build it, break it under load and defend it, in one place, with every part reading the same design.

Sandbox · Pro

Visual architecture builder

Components with real capacity, latency and cost characteristics — not shapes with labels.

Hands on a trackpad connecting service nodes on a dark architecture canvas

Simulator

Deterministic simulation

The same design always scores the same. Chaos is scripted, so results are arguable rather than random.

A live architecture simulation with flowing traffic, gauges and a latency chart

Learn

Guided curriculum

151 topics. From caching and consistency to design patterns and low-level design, each topic has diagrams, recall questions and practice.

An engineer studying a lesson diagram beside a notebook at dusk

AI review · Pro

Feedback, grounded

Feedback reads your actual canvas and your actual simulation results, so it critiques the design you built.

An engineer reading architecture feedback linked to highlighted nodes

Mocks · Pro

Mock interviews

A timed, spoken round that probes the decisions you made — and the ones you avoided.

A hand ready to start a voice interview beside headphones and a laptop

LLD

Low-level design too

Class diagrams graded on abstraction, coupling and encapsulation, exportable as a Java, Python or TypeScript skeleton.

A class diagram on a laptop beside a matching pencil sketch
Practice that transfers

Judgement you can explain out loud.

A diagram is only the opening argument. Each run turns it into evidence you can defend.

  1. The whiteboard gap

    You drew the boxes. Nobody ran them.

    • Make trade-offs under real workload and budget constraints.
    • Watch failures propagate before they become interview theory.
    • Explain the evidence behind every architecture decision.
    Explore graded challenges
    An engineer comparing a whiteboard design with a red overloaded node on a laptop
  2. Ready for review

    Bring evidence to the room, not just a diagram.

    • Trace the failure: see where pressure, drops and queues began.
    • Defend the trade-off with run evidence instead of preference.
    • Try the alternative, then compare the next run.
    Three engineers reviewing a latency spike and its architecture in a dark meeting room
  3. Practice out loud

    A spoken round, on the design you built.

    • A timed mock interview, spoken, with follow-ups.
    • Questions come from what your run found.
    • A report on the decisions you made and the ones you avoided.
    An engineer with a headset explaining a design beside a voice waveform at home
How a session goes

From a blank canvas to a defended design.

  1. 00:00Learn

    Read the brief, then the concept

    Animated lessons with recall questions, and on Pro a tutor grounded in the page you are reading.

  2. 06:00Build

    Compose the system

    Drag in components that carry real capacity, latency and cost, and wire them the way you would ship them.

  3. 14:00Run

    Push it until it breaks

    Send traffic and scripted chaos through the design and watch exactly where pressure collects.

  4. 25:00Defend

    Explain the evidence

    On Pro, a coach and a mock interviewer question the decisions the run exposed, and score how you answer.

No install.No account to try.Just build.

ArchiDepth for hiring teams

Hire architects by how they design, not by what they recite.

For startups, growing companies and enterprises: structured system design interviews on the canvas candidates already practice on. The design actually runs, so every interviewer judges the same evidence.

StartupsMid-size companiesEnterprises and GCCs
  • A canvas that runs

    Candidates design live on the canvas they practice on. Load and failures show what holds.

  • Anchored scorecards

    Every interviewer scores the same dimensions, each score tied to evidence from the session.

  • AI that summarises

    A debrief and suggested follow-ups after every round. People make the decision.

  • Candidate data, handled

    Recordings, transcripts and notes under DPDP-ready controls, kept only as long as you choose.

Launching with a small group of design partners first

See what candidates practice
Plans

Start free. Go Pro when you are ready.

Learn the fundamentals and solve your first problems for free. Pro opens every problem, the Sandbox and the AI that reviews your designs and runs your mock interviews.

FAQ

Questions? We have answers.

Why learn system design when AI can write the code?
Because AI writes code, not decisions. It can generate a service, a schema or a cache in seconds, but someone still has to decide which services should exist, where the data lives, what fails first and what it all costs at scale, and then defend those choices. That judgement is what senior roles and interviews now test, and it is what ArchiDepth trains: you build the design, run it under load and explain the evidence.
Can companies use ArchiDepth to hire system design talent?
That is what ArchiDepth for hiring teams is for: structured system design interviews on the same canvas candidates practice on, where the design actually runs, with anchored scorecards and an AI debrief while people make the decision. It is opening with a small group of design partners first, so startups, mid-size companies and enterprises can ask to join with a short request form.
What is ArchiDepth and how does it work?
ArchiDepth is a system design learning and interview practice platform. You learn each building block in a free course, draw an architecture on a canvas, and run it: simulated traffic and failures report latency, saturation and monthly cost. On Pro, AI reviews and AI mock interviews are grounded in those runs.
How do I prepare for a system design interview?
Learn the fundamentals first (caching, replication, partitioning, queues), then practise full problems out loud against a clock. On ArchiDepth you take the free course, solve high-level and low-level design problems that are graded by what your design does under load, and rehearse with an AI system design mock interview.
Does ArchiDepth have AI mock interviews for system design?
Yes, on Pro. An AI interviewer runs a timed high-level design interview, spoken or typed, while you design on the canvas. Your report gives an overall score, a score for each dimension with quotes and simulation results as evidence, and a level estimate.
Can I practise low-level design and machine coding?
Yes. Low-level design (LLD) problems are graded by how your classes and interfaces are built, from parking lots to job schedulers, and problems with a machine coding round run your code in Java, Python or TypeScript. Design pattern drills train you to spot and compare patterns.
What is free, and what needs Pro?
The course is free, and with an account so are five Easy practice problems, which you design and run on the canvas. The Sandbox, every other practice problem and every AI feature (the coach and the lesson tutor, AI reviews, run explanations and AI mock interviews) are part of Pro.
Who is this platform for?
Software engineers preparing for system design interviews at big tech and product companies, students learning system design from scratch, senior engineers and architects sharpening their judgement, and hiring teams that want to interview on a design that runs.
How is this different from other system design resources?
Most system design resources are text, videos or a whiteboard, so nothing tells you whether a design would hold. On ArchiDepth the design runs: you see what saturates, what fails and what it costs, and practice problems are graded on that evidence rather than on matching a reference diagram.
Do I need prior system design experience?
No. The course starts with the fundamentals and builds up track by track, so beginners can start there, while experienced engineers can go straight to hard problems and mock interviews.
What kind of problems can I practice?
71 graded problems across high-level and low-level design: checkout and payment ledgers, live chat and presence, video delivery, event streams and meter pipelines, multi-tenant APIs, rate limits and regional failover, grounded AI answers, and class designs from parking lots to job schedulers.
Get started

Design is the human part. Get good at it.

Start with the free course, build your first system on the canvas, and see how it holds under load. No account needed to try.