Your First 7 Days in ScaleDojo: Beginner Hand-Holding Plan
So you just signed up on ScaleDojo. Maybe a friend recommended it, maybe you came across it while preparing for a system design interview, or maybe you just wanted a proper hands-on place to finally get good at designing systems. Whatever brought you here, welcome.
Now comes the part nobody tells you about. You log in, you see four different tracks, over 220 challenges, a leaderboard, a roadmap, an AI reviewer, and you have absolutely no idea where to begin. That feeling is completely normal and it happens to almost every new user.
This guide is your solution to that problem. It gives you a clear, simple, day-by-day plan for your first seven days on ScaleDojo. Follow it one day at a time, do not skip ahead, and by the end of the week you will feel genuinely at home on the platform and ready to keep going.
What Is ScaleDojo and Why Does It Work Differently
Before we get into the day-by-day plan, it helps to understand what ScaleDojo actually is, because it is not like most learning platforms you may have used before.
ScaleDojo is a hands-on system design practice platform. The key word there is hands-on. You do not just watch videos or read articles. You actually build real architectures inside the platform by dragging components onto a canvas, connecting them, and designing systems the way you would in a real engineering job. Once you submit your design, an AI architect reviews it, scores it, and gives you specific feedback on what you got right and what could be improved.
The platform covers four main areas. The first is High Level Design, which has 70 challenges. These are about the big picture of a system, how major components connect, where data flows, and how the whole thing handles scale. The second is Low Level Design, which has 50 schema missions focused on database design, class structures, and the internal details of how a system is built. The third is API Design, with 50 levels that teach you how to expose a system's features to the world through clean, well-structured endpoints. The fourth is GenAI Pipeline Labs, which has over 50 challenges on designing AI-powered systems like RAG pipelines, LLM applications, and AI agent architectures.
All of this adds up to over 220 interactive challenges. There is a structured roadmap to guide you through them, a global leaderboard to track your progress against other learners, and it is free to start.
With that context, here is your first seven days.
Day 1, Get Oriented Before You Touch a Single Challenge
The biggest mistake beginners make on ScaleDojo is jumping straight into a challenge on their first day without understanding how the platform works. You end up confused, frustrated, and you close the tab. Do not do that.
Spend Day 1 purely on orientation. Create your free account at scaledojo.dev and then just explore. Click through each of the four tracks. Read the descriptions. Look at the roadmap. Do not attempt to solve anything today. Your only job is to understand what each track is for and how the platform is structured.
Pay attention to the roadmap in particular. ScaleDojo has a structured roadmap that tells you which challenges to tackle in which order based on your experience level. This is one of the most useful things on the platform for beginners and most people ignore it. Understanding the roadmap on Day 1 means you will never waste time picking a challenge that is too advanced for where you are right now.
By the end of Day 1 you should know what HLD, LLD, API Design, and GenAI Labs each focus on, you should have looked at the roadmap and found where the beginner-level challenges are, and you should have a feel for how the AI review system works. That is it. Thirty minutes of exploration is enough.
Day 2, Study the Roadmap and Choose Your Starting Point
Now that you have a feel for the platform, Day 2 is about being intentional. Open the roadmap and spend time really looking at it. Where are the beginner-level HLD challenges? How does the difficulty progress? What comes after you complete the first few?
For most beginners, the right starting point is the High Level Design track. This is because HLD gives you the mental model for how systems work at a broad level before you go deeper into schemas, APIs, or AI architectures. Starting with HLD means the other tracks will make more sense when you get to them.
On Day 2, identify the first two or three beginner HLD challenges from the roadmap. Read their descriptions. Do not attempt them yet, just read. Think about what kind of system each one is asking you to design. Maybe it is a URL shortener, a messaging system, or a simple e-commerce backend. Get familiar with what the problem is asking before you sit down to solve it.
Also spend a few minutes looking at the global leaderboard. You are not there to compete on Day 2. You are there to see what the community looks like and to get a sense of the kinds of challenges that are popular among people at a similar stage to you.
Day 3, Attempt Your First HLD Challenge
Today is the day you actually start building. Go to the first beginner HLD challenge on your roadmap and open it.
Read the problem statement carefully. Understand what system you are being asked to design. What does it need to do? Who uses it? What kind of traffic or data volumes are implied? Then open the canvas and start placing your components.
HLD on ScaleDojo is interactive. You drag components like load balancers, servers, databases, caches, and queues onto a canvas and connect them to show how data flows through the system. It feels like designing on a whiteboard, except the AI is watching and will review every decision you make.
Do not worry about getting it perfect. Nobody gets it perfect on their first attempt. Make your best design with what you know, then submit it.
After you submit, read the AI architect review carefully. This is the most important part of Day 3. The AI will not just give you a score. It will explain what you did well, what you missed, and why certain design choices matter. You might discover you forgot to add a caching layer, or your database setup would not handle high read traffic well, or your services were not properly decoupled. Write down everything the AI flags. These notes are your personal learning material.
Day 4 , Go Back and Improve, Then Try a Second Challenge
System design is a skill you build through repetition and reflection. Day 4 is about doing both.
Start by reopening yesterday's challenge. Look at your AI review notes. Now rebuild the design from scratch, this time fixing the things the AI pointed out. Try to score higher on your second attempt. When you compare your first and second submissions, you will be able to see your thinking improve in real time, which is one of the most motivating things you can experience as a beginner.
Once you have improved your first challenge, move on to the second beginner HLD challenge from the roadmap. This one will likely introduce something slightly more complex, maybe a need for a message queue, or a consideration for how the system handles failures. That is fine. Work through it the same way. Design, submit, read the review, take notes.
By the end of Day 4 you will have completed two HLD challenges and iterated on one of them. That is real progress.
Day 5, Start Your First LLD Schema Mission
By now you have a working understanding of how systems look from the outside. Day 5 introduces a different kind of thinking, how systems work on the inside, specifically around data.
Open the first beginner LLD schema mission from the roadmap. LLD on ScaleDojo focuses on things like database schemas, table design, relationships between entities, primary and foreign keys, and data types. Where HLD asks you to think about the shape of a system, LLD asks you to think about the shape of its data.
Read the problem carefully. What entities are involved in this system? If you are designing a food delivery app, you might have users, restaurants, menus, orders, and delivery drivers. How do they relate to each other? What data needs to be stored for each one? What queries will the system need to run, and how should the schema be designed to make those queries efficient?
Design your schema and submit it. The AI review for LLD challenges will give you feedback on things like normalisation, redundancy, missing indexes, and whether your relationships are set up correctly. Pay close attention to this feedback because database design mistakes are some of the most common things that trip up engineers in real-world projects and interviews alike.
If LLD feels harder than HLD right now, do not stress. Some people find it easier, some find it harder. You can always go back to an HLD challenge for a confidence boost and return to LLD with fresh eyes.
Day 6 , Try Your First API Design Level
By Day 6 you have worked on both HLD and LLD. API Design is the third track, and it connects closely to both of them. An API is how the outside world interacts with your system, so understanding API design means understanding how your HLD architecture exposes its features and how your LLD data structures get read and written.
Open the first beginner API design level from the roadmap. These challenges typically describe a service and ask you to design the API around it. You will think about what endpoints the API needs, what HTTP methods to use, what the request and response formats look like, how errors are handled, and how authentication might work.
For example, if the challenge asks you to design the API for a simple blog platform, you would need endpoints for creating posts, fetching posts, updating them, deleting them, and maybe fetching all posts by a specific author. Think through each one carefully before you submit.
The AI review for API design challenges will give you feedback on REST conventions, endpoint naming, response structure, and things you might have missed like pagination for list endpoints or proper status codes for error responses. These are the kinds of details that matter a lot in real engineering work.
Day 7, Review Your Week and Plan What Comes Next
You have made it through the first seven days. Day 7 is not about new challenges. It is about looking back at what you have learned and setting yourself up to keep going.
Start by opening the global leaderboard. See where you stand. You are not there to obsess over your ranking, you are there to feel like you are part of something, which you now are. You have submitted real challenges, received real AI feedback, and built real design skills this week.
Next, go through all the AI feedback you received across your submissions this week. Read through it again slowly. Look for patterns. Did the AI keep mentioning the same kind of issue? Maybe your HLD designs kept missing fault tolerance. Maybe your LLD schemas were not normalised properly. Maybe your API endpoints had inconsistent naming conventions. Whatever pattern you find, that is your biggest learning opportunity for Week 2.
Write down your three weakest areas based on that feedback. Then look at the roadmap and identify which challenges in Week 2 will help you address those weaknesses directly. Build a loose plan for the next seven days. You do not need to schedule every hour, just know which track you will focus on and which challenges you will attempt.
If you have not looked at the GenAI Pipeline Labs yet, today is a good day for a quick peek. ScaleDojo has over 50 challenges on designing AI-powered systems, things like RAG pipelines, LLM application architecture, vector database design, and AI agent systems. These are not beginner Week 1 material, but knowing they exist is important. As AI becomes more central to how software systems are built, the ability to design AI architectures is becoming a core engineering skill. Plan to start the GenAI labs by Week 3 or Week 4 once you are comfortable with HLD and LLD.
What to Expect From the AI Architect Review
Since the AI review is central to how ScaleDojo works, it is worth saying a bit more about it before you finish reading.
The AI architect review is not just a score. It is specific, reasoned feedback on your design choices. It might tell you that your system has a single point of failure because you did not add redundancy to a critical component. It might point out that your schema design would cause slow queries at scale because you are missing an index. It might note that your API design lacks versioning, which would cause problems when you need to update the API in the future.
Good beginners treat the AI review as a conversation. They read it, think about it, and then come back to improve their design based on what they learned. Great beginners do that every single time, for every single challenge. If you make a habit of this from Day 3 onwards, your growth will be noticeably faster than someone who just collects scores and moves on.
A Few Things Beginners Get Wrong in the First Week
Starting with challenges that are too advanced is the most common issue. ScaleDojo has over 220 challenges and some of them are genuinely hard. If you skip the roadmap and pick something that looks interesting without checking the difficulty level, you are likely to pick something too advanced, struggle, lose motivation, and quit. Always use the roadmap.
Moving on without understanding the AI feedback is the second most common issue. It is tempting to just collect completions and move to the next challenge. But the real learning on ScaleDojo happens in the space between your design and the AI's feedback. Do not waste that.
Trying to do all four tracks at once in Week 1 is also a trap. HLD, LLD, API Design, and GenAI Labs are all valuable. But in your first week, spreading yourself across all four means you never build depth in any of them. Stick primarily to HLD in Week 1 with just one LLD and one API challenge to get a feel for those tracks.
Where You Should Be After Seven Days
By the end of Day 7, you should have attempted at least two HLD challenges and iterated on at least one of them based on AI feedback. You should have completed one LLD schema mission and one API design level. You should have reviewed the roadmap and built a rough plan for Week 2. And you should understand how the AI architect review works and how to use it to improve.
That is a solid Week 1. You have covered real ground across three of the four tracks, you have seen how the AI review works, and you have a clear path forward.
ScaleDojo is one of those platforms where the more consistently you show up, the faster you improve. System design is not something you learn in a single session or even a single week. But with this plan, you have given yourself the best possible start.