CODING INTERVIEW PREP, BUILT FOR MAC

Turn practice into
your next offer.

Practice coding interviews, visualize algorithms, and rehearse system design in one native Mac app. Build real understanding with offline coaching, then bring it to the interview.

JavaScript · TypeScript · Python · Java

Download for Mac See it in action

Native to macOS 14+. Built to work offline.

A LOOK INSIDE YOUR WORKSPACEAZ—01

AlgoZillaRunning locally

ALGORITHMS / ARRAYSEasy

Two Sum

Find the pair. Explain your thinking.

solution.tsTypeScript

1function twoSum(nums: number[], target: number) {2  const seen = new Map<number, number>();34  for (let i = 0; i < nums.length; i++) {5    const complement = target - nums[i];6    if (seen.has(complement)) {7      return [seen.get(complement), i];8    }9    seen.set(nums[i], i);10  }11  return [];12}

All visible tests passed3 / 3

TARGET = 9

112

153

Pair found

OFFLINE COACH

What could help you find the complement in constant time?

Build real understanding

No AI subscription neededYour progress stays yours

A little practice. A lot of possibility.

280+challenges & follow-up drills

93algorithm techniques to explore

4coding languages. Your choice.

1workspace for the whole journey

A BETTER WAY TO PREPARE

Practice with a plan. Walk in with confidence.

A repeatable learning loop for your next technical interview—from the first concept to a clear, confident explanation.

01 / GET YOUR BEARINGS
Find your starting point.
Choose a role and a learning path. Follow clear prerequisites, or jump into a challenge that puts a specific skill to work.
- Beginner to senior refresh
- Role-aware guidance
Explore learning paths
02 / BUILD THE SKILL
Understand by doing.
Write code, run local tests, and watch the algorithm unfold. Use progressive hints to work through the hard parts at your pace.
- Real code. Local feedback.
- Visual explanations
Step inside the workspace
03 / MAKE IT INTERVIEW-READY
Practice saying it out loud.
Explain your reasoning, defend the trade-offs, and rehearse follow-up questions. Bring your experience together in a tailored application.
- Voice mock interviews
- Resume & applications
Prepare your next move

LESS TAB HOPPING. MORE LIGHTBULB MOMENTS.

One workspace. Every interview skill.

From the first line of code to the final follow-up question. Find your focus, and stay in the flow.

/ 01

Go beyond the green checkmark.

Build a solution you can actually explain. Write real code, test your assumptions, and understand the trade-offs behind every approach.

JavaScript, TypeScript, Python & Java
Visible tests, hidden checks & progressive hints
Native editor, local autocomplete & flexible panes

Explore all practice tools

YOUR SOLVE ROOM

Understand the why.

Plan → Implement → Test → Explain

Time O(n) · Space O(n)

/ 02

Design the bigger picture.

Turn open-ended prompts into clear architectural decisions. Map requirements, draw your system, and defend the choices that make it work.

Offline Excalidraw canvas with local history
Scale assumptions, deep dives & rubric feedback
Architecture fundamentals & AWS scenarios

Explore all practice tools

YOUR DESIGN ROOM

API gateway

Services

Database

Think in systems.

Requirements → Architecture → Trade-offs

Design for the bottleneck. Explain the trade-off.

/ 03

Make the real interview feel familiar.

Practice thinking out loud, handling follow-ups, and finding your rhythm. Turn every session into a specific, useful next step.

Coding, behavioral, design & mixed formats
On-device voice recognition & spoken responses
Resumable sessions, transcripts & rubric reports

Explore all practice tools

YOUR INTERVIEW ROOM

Find your interview voice.

Listen → Think → Explain → Reflect

Your pace. Your practice. Your next step.

DON’T JUST MEMORIZE IT. SEE IT.

Make the hard parts click.

Slow an algorithm down. Follow the pointers. See what changes, and understand why. Then put that insight into practice.

Step-by-step visualizations with pseudocode
Structured paths with clear prerequisites
Worked examples, prediction practice & Big O

See the complete toolkit

A SMALL TASTE OF VISUALIZE MODE

Binary search

INTERACTIVE

Find 23Step 1 / 4

Start with a sorted array. Check the middle value, 16.

MiddleSearch rangeEliminated

THE WHOLE TOOLKIT

Everything your next chapter needs.

Build the skill. Practice the conversation. Prepare the application. It all belongs together.

Patterns, not just problems.

Learn algorithms through prerequisite-based paths, worked examples, four-part drills, and guided solutions.

AlgorithmsStudy tracks

Explore this area

A real frontend playground.

Build with React, Vanilla DOM, and TypeScript. Multi-file editing, live previews, browser checks, and responsive viewports.

ReactTypeScriptDOM

Explore this area

Data deserves practice, too.

Work through SQL and NoSQL interview exercises, from joins and window functions to document pipelines and caching.

SQLNoSQL

Explore this area

Think clearly at scale.

Practice system design and AWS architecture with requirements, diagrams, scaling decisions, and explained trade-offs.

System designAWS

Explore this area

Know your O(n) from O(log n).

Build intuition in the Big O Lab with step-by-step derivations, operation counts, growth charts, and local answer checks.

Big O LabVisual learning

Explore this area

Give your experience a voice.

Build a behavioral Story Bank, structure CARL answers, and rehearse with voice interviews and guided follow-up questions.

BehavioralVoice practice

Explore this area

Find your next right step.

Use role-aware recommendations, resumable study tracks, and evidence-based progress to focus on the skills that need you.

ProgressLearning paths

Explore this area

Make the workspace your own.

Plan on an offline whiteboard, practice test-driven development, save favorites, import challenges, and use native keyboard commands.

WhiteboardTDD⌘ shortcuts

Explore this area

Also available to explore: Vue, Angular, and Svelte workspaces, currently in preview.

A place for every part of getting better.

Learn the foundations, practice the work, and rehearse the conversation. Explore each part of a preparation workspace designed to connect the dots.

Find your focus

Explore every area below, or jump straight to a topic.

14areas to explore

01 / UNDERSTAND THE LANGUAGE

Learn the language. Keep the understanding.

Go deeper than syntax with dedicated JavaScript, TypeScript, and Java curricula. Build a mental model, trace an example, and apply it in a related challenge—all without needing an AI subscription.

JavaScript, from the inside out

34 lessons connect fundamentals, scope, closures, asynchronous behavior, and the decisions behind reliable JavaScript.

TypeScript that explains itself

18 lessons build from everyday types toward generics, narrowing, mapped types, and expressive API contracts.

Java with practical depth

18 lessons cover the language, collections, object modeling, and patterns you can use in coding interviews.

YOUR LEARNING LIBRARY

JavaScript · 34 lessons

TypeScript · 18 lessons

Java · 18 lessons

Connected practice challenges

A foundation that compounds.

Read → Trace → Practice → Explain

Illustrative workspace preview

Prerequisites
Worked examples
Four drills per lesson
Read aloud
Bookmarks

All topics

02 / PUT YOUR THINKING TO WORK

Write the solution. Understand every decision.

Move from a blank editor to a solution you can defend. Practice easy, medium, and hard problems with local execution, visible tests, masked hidden checks, and feedback that helps you take the next step.

Four languages. One focused workspace.

Practice algorithms in JavaScript, TypeScript, Python, and Java with a native editor, local completion, diagnostics, and a persistent timer.

Hints that leave the thinking to you

Reveal progressively deeper guidance, then compare distinct approaches with correctness reasoning, complexity, and failure cases.

Go beyond the first pass

Work through edge cases, debugging, scaling, and interview-narration drills. Check your plan, tests, complexity, and explanation before moving on.

ALGORITHM PRACTICE

1const seen = new Map();
2for (const [i, value] of nums.entries()) {
3  const other = target - value;
4  if (seen.has(other))
5    return [seen.get(other), i];
6  seen.set(value, i);
7}

Restate
Implement
Test
Explain

A better question. A better solution.

Example: find a complement in constant time.

Illustrative workspace preview

Arrays & strings
Trees & graphs
Dynamic programming
Search & sorting

All topics

03 / BUILD SOMETHING PEOPLE USE

Practice the interface. And everything behind it.

Build real components in a frontend workspace with multiple files, local builds, and a live preview. Explore the connection between code, state, behavior, and the person using your interface.

React and Vanilla DOM

Work through component behavior, DOM interaction, state, and accessible interfaces with purpose-built reference workspaces.

A dedicated TypeScript type gym

Practice tuple inference, conditional and mapped types, recursive structures, template literals, and discriminated unions with local type checks.

See what your code actually does

Use phone, tablet, and desktop previews alongside build diagnostics, browser console output, and visible and hidden checks.

CODE + LIVE PREVIEW

1function PracticeCard({ topic }) {
2  return (
3    <article>
4      <h2>{topic.title}</h2>
5      <p>{topic.summary}</p>
6    </article>
7  );
8}

Components

State

Accessibility

Responsive checks

From component to experience.

Illustrative component and responsive preview

Illustrative workspace preview

React
Vanilla DOM
TypeScript
Vue / Angular / Svelte in preview

All topics

04 / MAKE THE DATA MAKE SENSE

Learn the model. Write the right query.

Pair dedicated SQL and NoSQL learning paths with a balanced set of 36 data-practice challenges. Understand how the data is shaped before deciding how to retrieve, aggregate, and explain it.

SQL: from filters to analytical thinking

18 lessons and 18 challenges cover joins, grouping, NULL behavior, window functions, recursive queries, and deterministic pagination.

NoSQL: think in access patterns

18 lessons and 18 challenges explore document modeling, aggregation pipelines, caching, time series, replication, and graph fan-out.

Practice with useful feedback

Inspect schema guidance, run visible checks, submit against masked checks, and compare three reviewed approaches. SQL runs locally; NoSQL uses a focused Mongo-style pipeline interpreter.

DATA PRACTICE

1SELECT team, COUNT(*) AS total
2FROM engineers
3GROUP BY team
4ORDER BY total DESC, team;

Illustrative SQL aggregation
team	total
Platform	12
Product	8

Turn rows into a clear answer.

Illustrative SQL aggregation

Illustrative workspace preview

Schema guidance
Progressive hints
Query editor
Local feedback

All topics

05 / BUILD CONFIDENCE INTO THE CODE

Make the behavior clear. Keep the change safe.

Explore testing as a design skill with dedicated TDD and contract-testing curricula, then put the ideas to work in the app’s test-driven practice workspace.

Learn the red–green–refactor loop

Six TDD lessons cover the first failing test, boundaries and partitions, refactoring, test doubles, and property-based and mutation testing.

Understand the contract between services

Six contract-testing lessons explore consumer-driven contracts, provider verification, schema evolution, event contracts, and delivery pipelines.

Explain what the test protects

Practice choosing useful cases, identifying design seams, and separating a behavioral guarantee from an implementation detail.

A SMALL, REPEATABLE LOOP

Red

Green

Refactor

Confidence, one behavior at a time.

A learning workflow for test-driven development

Illustrative workspace preview

TDD practice
Boundary cases
Provider verification
Compatibility

All topics

06 / GROW BEYOND THE CODING ROUND

Think like the engineer you want to become.

Build the judgment that sits around the code. Sixteen engineering-skills lessons connect technical decisions to reliability, security, accessibility, performance, and clear communication.

Design for real operating conditions

Study capacity, queues, backpressure, observability, SLOs, and incident response. Learn to ask what happens when assumptions stop holding.

Make safer changes

Explore threat modeling, authentication, API compatibility, risk-based testing, delivery strategies, rollback, and production-readiness reviews.

Build for people and teams

Practice keyboard and focus accessibility, performance investigation, code review, technical communication, and learning from incidents.

ENGINEERING JUDGMENT

Model the risk

Include every user

Observe the system

Plan the rollback

The questions around the code.

Example review lenses

Illustrative workspace preview

Reliability
Security
Accessibility
Performance
Communication

All topics

07 / CONNECT THE BIGGER PICTURE

From a vague prompt to a design you can defend.

Build architectural intuition with 35 system-design lessons and 55 original design prompts. Turn requirements and scale assumptions into a coherent system, then explain what you chose and why.

Learn the building blocks

Explore routing, APIs, caching, replication, consistency, queues, observability, security, CDNs, and patterns for resilient systems.

Practice a complete design interview

Clarify requirements, sketch in Excalidraw, explore bottlenecks, and rehearse follow-up questions for easy through hard scenarios.

Review the reasoning behind the drawing

Get deterministic offline rubric feedback, revisit checkpoints, and reveal staged solutions covering scope, interfaces, architecture, deep dives, and trade-offs.

ARCHITECTURE WORKSPACE

Clients

API gateway

Application

Cache

Database

Queue

Every connection has a reason.

Illustrative request path—not a deployed system

Illustrative workspace preview

35 lessons
55 design prompts
Offline whiteboard
Rubric feedback

All topics

08 / TURN CLOUD KNOWLEDGE INTO DECISIONS

Learn the services. Design the system.

Connect cloud fundamentals to architecture with 52 AWS learning lessons and a dedicated AWS design-practice area. Build a vocabulary for choosing services, explaining boundaries, and handling failure.

Understand what each building block solves

Study networking, identity, compute, storage, databases, messaging, observability, backups, and disaster recovery.

Apply the knowledge to a scenario

Move from service selection to read-heavy, write-heavy, asynchronous, and collaborative architectures with explained design choices.

Learn through the diagram

Follow managed architecture visualizations and use AWS-aware design exercises to connect service responsibilities with system requirements.

AWS LEARNING + DESIGN

Edge

Compute

Identity

Storage

Events

Observability

Services with a purpose.

Illustrative cloud architecture building blocks

Illustrative workspace preview

VPC & IAM
Compute & storage
Queues & events
Resilience & recovery

All topics

09 / EXPLAIN WHAT HAPPENS AT SCALE

Don’t just name the Big O. Show how you got there.

Build an intuition for time and space with 38 searchable Big O exercises. Work through loops, recursion, data structures, trees, graphs, and amortized analysis with a clear derivation at every step.

Reason before revealing

Write your time and space estimates, explain the reasoning, and check equivalent notation locally. Progressive hints help when you get stuck.

See the cost grow

After checking an answer, explore operation-by-operation walkthroughs and growth comparisons that connect the notation to the work being done.

Practice the interview explanation

Revisit saved attempts and learn to distinguish independent inputs, nested work, recursion depth, and auxiliary space.

THE BIG O LAB

OperationsInput size

O(log n)O(n)O(n²)

The shape of the work.

Illustrative growth comparison

Illustrative workspace preview

Time & space
Operation counts
Growth charts
Local answer checks

All topics

10 / GIVE YOUR EXPERIENCE STRUCTURE

Find the story. Make the lesson clear.

Prepare for the conversation around your work with 33 behavioral story sets. Explore what interviewers are asking, organize evidence from your experience, and practice a clear CARL response.

Build your own Story Bank

Capture examples of collaboration, conflict, ownership, influence, and learning. Keep the facts and evidence available for future practice.

Understand the shape of an answer

Use Context, Action, Result, and Learning to connect a situation to your choices and what changed because of them.

Prepare for the next question

Compare sample answers, review preparation tips and red flags, and work through follow-ups that probe your reasoning.

YOUR EXPERIENCE, CLEARLY TOLD

Context

Action

Result

Learning

A story with a through line.

CARL answer structure

Illustrative workspace preview

CARL structure
Story Bank
Leadership
Follow-up questions

All topics

11 / REHEARSE THE CONVERSATION

Make saying it out loud part of the practice.

Move from knowing an answer to communicating it. Rehearse with follow-up questions, continuous voice turns, local transcripts, and an evidence-linked report you can learn from.

Practice the interview you’re preparing for

Start with coding interviews in Free. Pro adds behavioral, system-design, and mixed formats for a broader rehearsal.

Keep a natural rhythm

Use on-device recognition and native spoken responses. Pause, continue, or finish a session while keeping control of your transcript.

Turn the rehearsal into a next step

Review the evidence behind rubric feedback, export your report, and return to the areas that need another attempt. Offline Coach works without a model.

ILLUSTRATIVE INTERVIEW MOMENT

Listen
Think
Explain
Reflect

Explain the trade-off.

“What would you change if the input grew tenfold?”

Illustrative workspace preview

Voice turns
Follow-ups
Local transcripts
Exportable feedback

All topics

12 / KNOW WHAT TO PRACTICE NEXT

A direction for today. A record of how you got here.

Give your preparation a structure with resumable study tracks, prerequisite-aware learning, and role-aware recommendations. Keep the next useful step close, even when you’re returning after a break.

Follow a connected path

Move through learning and practice in an intentional order. The Complete Interview Patterns track connects 16 chapters, 32 lessons, and 97 core problems.

Look at evidence, not a single score

Review submissions, retries, hints, timing, complexity reasoning, communication, and recency in the context of your target role.

Pick up where you left off

Return to saved practice, revisit techniques, and focus on the skills that need attention across frontend, backend, mobile, or generalist preparation.

AN EXAMPLE LEARNING PATH

Build the foundation
Apply the pattern
Explain the approach
Review and revisit

Small steps. Connected progress.

Illustrative sequence—not personal learning data

Illustrative workspace preview

Study tracks
Role-aware guidance
Saved progress
Readiness checkpoints

All topics

13 / MAKE ROOM FOR YOUR PROCESS

Sketch it. Save it. Come back with a better idea.

Good practice needs room for unfinished thinking. Keep your plan, code, notes, favorite challenges, and reusable material together in a workspace that lives on your Mac.

A real offline planning canvas

Use the bundled Excalidraw editor for shapes, arrows, free drawing, libraries, and open-format files. Local history gives you recovery checkpoints.

A workspace that adapts to you

Resize, reorder, and hide solve-room panes. Use native find, keyboard commands, timers, notes, and saved layouts to stay focused.

Keep building your library

Save favorites, search and filter content, and import challenge drafts through a review-and-validation workflow in Settings.

YOUR THINKING SPACE

Understand

Plan

Build

Verify

Leave a trail you can follow.

Illustrative planning board

Illustrative workspace preview

Excalidraw
Local history
Native shortcuts
Favorites & import

All topics

14 / GET HELP WITHOUT LOSING OWNERSHIP

A useful nudge. Your own breakthrough.

Start with authored guidance and deterministic Offline Coach. When you want a model’s perspective, choose an available local provider or explicitly connect a supported remote service.

Learn without an LLM

Lessons, worked examples, progressive hints, visualizations, and readiness guidance are available offline. Understanding is the starting point.

Get feedback in context

Use tutoring, Teacher Mode, complexity coaching, and interview guidance to explore your reasoning. AI Solver and advanced reviews are part of Pro.

Choose your provider and boundaries

Eligible Macs can use Apple Foundation Models; Ollama offers another local option. OpenAI and Gemini require your key and consent, with provider usage billed separately.

GUIDANCE THAT LEAVES ROOM TO THINK

Your approach

A focused question

Your next attempt

“What assumption are you making?”

An illustrative coaching prompt

Illustrative workspace preview

Offline Coach
Teacher Mode
Optional local AI
Explicit remote consent

All topics

YOUR PRACTICE. YOUR CHOICE OF AI.

Think with AI. Stay in control.

Get a second perspective on your code, your reasoning, or your next interview. Use AI on your Mac, connect a supported cloud provider with your own key, or keep practicing with Offline Coach.

Local AI options
Bring your own API key
No LLM mode available

ILLUSTRATIVE PROVIDER ROUTES

Your practice

Apple FoundationOn-device model

OllamaLocal model server

OpenAI / GeminiYour key + consent

Automatic mode stays local.

Apple first, then available Ollama. A cloud provider is always an explicit choice.

Useful guidance, even without a model.

Offline Coach uses deterministic feedback. Lessons, authored hints, local tests, whiteboards, and progress remain available in No LLM mode—no AI subscription required.

Choose where the thinking happens.

ON YOUR MAC

Apple Foundation Models

Use Apple’s on-device model for AI assistance without connecting a cloud provider or adding an API key.

Requires macOS 26+ on an eligible Mac
Apple Intelligence must be enabled
The system model must be downloaded and ready

LOCAL MODEL SERVER

Ollama

Choose a model running on the same Mac. Install Ollama and a model separately, then refresh the model list in AlgoZilla.

Choose from your installed local models
Only local loopback server addresses are accepted
Connection checks and model refresh in AI & Models

BRING YOUR OWN KEY

OpenAI & Gemini

Connect either supported cloud provider with your own API key. Select a model and explicitly consent before sending learning context remotely.

An internet connection is required
Session-only keys by default; optional macOS Keychain
Remote usage is billed separately by your provider

ADDITIONAL AI APIS

An extensible provider system.

AlgoZilla’s shared provider interface allows additional AI services to be integrated into the same learning workflows.

Connecting another API requires a compatible provider integration. The current app settings support Apple Foundation Models, Ollama, OpenAI, and Gemini; there is no field for connecting an arbitrary API URL.

Integration required

A second perspective, across your preparation.

Tutor & Teacher Mode

Ask about the current challenge, unpack a concept, and explore your reasoning with contextual guidance.

Complexity coaching

Work through time and space complexity with a coach that can discuss the approach you are practicing.

AI Solver

Generate a reviewable solution and explanation, then inspect the result and its local test evidence. Available with Pro.

Design & interview feedback

Get an additional review of architectural decisions and behavioral answers alongside the app’s offline guidance.

Challenge import

Turn pasted challenge text into a draft, validate it, run generated sample tests, and save it to your local library.

Resume & application assistance

Explore suggestions using redacted, evidence-based context. Review proposed changes before applying them to your materials.

AI Solver and advanced AI reviews require Pro. Model availability depends on your device or provider; remote usage charges are separate from AlgoZilla.

One place to set things up.

Open AI & Models in the app’s Settings to choose how you want to work.

Choose a mode
Pick automatic local selection, a specific supported provider, or No LLM.
Connect and select
Check local availability or add a remote key and consent. Refresh the available models and select one.
Practice with context
Return to your workflow for guidance. Offline Coach remains available when AI is unavailable.

ALEX MORGAN

Software Engineer

Portfolio · Experience · Projects

EXPERIENCE

Building thoughtful software.

Clear decisions. Measurable impact.

CORE SKILLS

TypeScriptSystem designReactPython

Ready for your review

Application workspace

Resume · Cover letter · Your story

PreparingAppliedInterviewing

ILLUSTRATIVE RESUME PREVIEW

FROM “I’M READY” TO “APPLICATION SENT”

Your experience. Beautifully represented.

Bring your practice and your next move together. Build an evidence-backed resume, tailor it to the role, and keep every application organized.

Resume studio

Master and tailored resumes, local imports, 12 templates, and PDF, DOCX, and more.

Applications, in order

Jobs, cover letters, screening answers, follow-ups, and saved submission packets.

Your story stays yours

Version history, verified evidence, and optional AI suggestions you review before applying.

A FOCUSED SPACE. A PRIVATE ONE, TOO.

On your Mac. On your terms.

Your learning shouldn’t depend on a connection—or another subscription. The core AlgoZilla experience works offline, with your work stored locally.

Offline at the core

Code execution, lessons, hints, diagrams, and progress work without a network or an LLM.

AI is your choice

Start with Offline Coach. Add Apple Foundation Models or Ollama locally, or opt into OpenAI or Gemini.

You stay in control

Remote AI needs your consent. API keys are session-only by default, with optional macOS Keychain storage.

Apple Foundation Models requires an eligible Mac and supported macOS. Remote providers may charge for usage.

A FEW THINGS YOU MIGHT BE WONDERING

Good questions. Clear answers.

01What is AlgoZilla?

AlgoZilla is a native macOS workspace for technical interview preparation. It brings coding practice, algorithm learning, system design, mock interviews, behavioral preparation, resumes, and applications into one app.

02Does it really work offline?

Yes. Core coding practice, local tests, authored lessons, hints, visualizations, whiteboards, progress, and Offline Coach work without an internet connection. Remote AI providers and store purchases need a connection.

03Do I need an AI subscription?

No. Offline Coach and the authored learning library work without an LLM. You can optionally configure a supported local model or connect OpenAI or Gemini with your own key and explicit consent. Remote usage may have provider charges.

04Which languages and frameworks can I practice?

Algorithm practice supports JavaScript, TypeScript, Python, and Java. There are dedicated SQL and NoSQL exercises, plus frontend workspaces for Vanilla DOM, React, and TypeScript types. Vue, Angular, and Svelte are currently preview workspaces.

05Is it useful if I’m just getting started?

Yes. Learner profiles and prerequisite-based tracks support beginners through senior engineers refreshing their skills. Worked examples, visual explanations, and progressive hints help you build understanding at your own pace.

06What’s the difference between Free and Pro?

Free includes a sample of each curriculum with complete workflows for unlocked content, coding mock interviews, and limited career artifacts. The lifetime Pro upgrade unlocks the full library, all mock formats and templates, unlimited artifacts, AI Solver, and advanced AI reviews. The in-app store provides pricing when available.

07What Mac do I need?

AlgoZilla targets macOS 14 or later. Packaged releases include the coding runtimes. Optional Apple Foundation Models needs an eligible Mac running a supported macOS version; other coaching modes remain available.

08Can I download AlgoZilla yet?

Yes. Use the Download for Mac button in the section below to open the official download destination. AlgoZilla requires macOS 14 or later.

YOUR NEXT CHAPTER STARTS WITH YOU.

A little more practice. A big next step.

Bring your ambition. We’ll bring the workspace.

Download for Mac Take another look

For macOS 14 and later

Turn practice intoyour next offer.

Practice with a plan. Walk in with confidence.

Find your starting point.

Understand by doing.

Practice saying it out loud.

One workspace. Every interview skill.

Go beyond the green checkmark.

Understand the why.

Design the bigger picture.

Think in systems.

Make the real interview feel familiar.

Find your interview voice.

Make the hard parts click.

Binary search

Everything your next chapter needs.

Patterns, not just problems.

A real frontend playground.

Data deserves practice, too.

Think clearly at scale.

Know your O(n) from O(log n).

Give your experience a voice.

Find your next right step.

Make the workspace your own.

A place for every part of getting better.

Find your focus

Learn the language. Keep the understanding.

JavaScript, from the inside out

TypeScript that explains itself

Java with practical depth

Write the solution. Understand every decision.

Four languages. One focused workspace.

Hints that leave the thinking to you

Go beyond the first pass

Practice the interface. And everything behind it.

React and Vanilla DOM

A dedicated TypeScript type gym

See what your code actually does

Learn the model. Write the right query.

SQL: from filters to analytical thinking

NoSQL: think in access patterns

Practice with useful feedback

Make the behavior clear. Keep the change safe.

Learn the red–green–refactor loop

Understand the contract between services

Explain what the test protects

Think like the engineer you want to become.

Design for real operating conditions

Make safer changes

Build for people and teams

From a vague prompt to a design you can defend.

Learn the building blocks

Practice a complete design interview

Review the reasoning behind the drawing

Learn the services. Design the system.

Understand what each building block solves

Apply the knowledge to a scenario

Learn through the diagram

Don’t just name the Big O. Show how you got there.

Reason before revealing

See the cost grow

Practice the interview explanation

Find the story. Make the lesson clear.

Build your own Story Bank

Understand the shape of an answer

Prepare for the next question

Make saying it out loud part of the practice.

Practice the interview you’re preparing for

Keep a natural rhythm

Turn the rehearsal into a next step

A direction for today. A record of how you got here.

Follow a connected path

Look at evidence, not a single score

Pick up where you left off

Sketch it. Save it. Come back with a better idea.

A real offline planning canvas

A workspace that adapts to you

Keep building your library

A useful nudge. Your own breakthrough.

Learn without an LLM

Get feedback in context

Turn practice into
your next offer.