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Learn system design the way the interview tests it.

Concepts built from the ground up, the technologies real designs name, and worked designs that open with the hard part and end with the follow-up questions. Plus a coding track that draws every algorithm as it runs.

Most of the atlas is free to read, with no account.

DatabaseCacheExternal systemAPI gatewayLoad balancerFocusClick a node for details

The live architecture from Distributed Rate Limiter. Every design has one: click a box for its role and its trade-off.

Start with the ideas, in order.

Each module builds on the one before: latency and estimation, storage, consistency, caching, messaging, and the patterns every design reuses. The last two cover building with LLMs and the interview itself.

Read Foundations

Algorithms you can watch run.

The coding track opens every data structure with a step-through: the structure on one side, the code highlighting line by line on the other. Press play below.

Go to the coding track
  • lo
  • hi
  • answer
  • dimmed = eliminated
pythonruns with the steps
1def two_sum_sorted(nums, target):
2 lo, hi = 0, len(nums) - 1
3 while lo < hi:
4 total = nums[lo] + nums[hi]
5 if total == target:
6 return [lo, hi]
7 if total > target:
8 hi -= 1
9 else:
10 lo += 1
11 return []
01 / 9Sorted inputpairs 28

Eight sorted values, and a target of 19. Brute force would test all 28 pairs. The order in this array is what makes a cheaper answer possible — unsorted, none of what follows holds.

Then build one real system end to end.

AI Engineering follows a single production application from the first commit, explaining each concept with the project's real code.

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