Aurora Forge

Practice for the AI-assisted coding interview

10 warm-up questions. 8 real-round bugs. 16 coding problems from real interviews.

1 · Warm-up · 2 · Real-round bugs · 3 · Coding problems · Real questions

[!IMPORTANT] Meta is rolling out, and Google is piloting, coding rounds with an AI assistant. You're graded on judgment: scoping a vague ask, reading code you didn't write, catching what the model got wrong. LeetCode doesn't train that. This does.

Three layers

	Layer	What it is
1	Warm-up	10 hard multiple-choice questions on how AI coding tools behave. Finishing sends you to Layer 2.
2	Real-round bugs	8 bugs from reported AI-enabled rounds, Easy to Hard. Find the cause; catch the AI's wrong fix.
3	Coding problems	16 runnable problems, each a failing test suite plus a mock interviewer. 01, 06 and 12 run as a timed round: scope, phases with checkpoints, curveball, scorecard.

Every problem is tagged with where it was asked. The question bank lists every reported theme with its source (docs/reported.js; how it's built: REPORTED_PROBLEMS.md).

Problems

#	Problem	Difficulty	Lang	Seen in
01	Line Wrap	Easy	Python	Google · L3 phone screen
02	Config Parser Debug	Easy	Python	Google · code-comprehension round
03	Cursor Pagination Off-by-One	Easy	Python	Coinbase · AI round, cursor queries
04	Slow Join	Easy	Python	Meta · AI round, optimize phase
05	Token-Bucket Rate Limiter	Medium	TypeScript	LinkedIn · logger with rate limiting
06	LRU Cache with TTL	Medium	Python	Shopify, LinkedIn · LRU cache
07	Concurrency Race	Medium	Python	LinkedIn · concurrency follow-ups
08	Multi-File Feature	Medium	Python	Meta, Amazon · multi-file repo rounds
09	Meeting Rooms	Medium	TypeScript	LinkedIn · interval bookkeeping
10	Dependency Resolver

Quickstart

git clone https://github.com/kenny2077/Aurora-Forge.git && cd Aurora-Forge

cd problems/07_Concurrency_Race && python3 -m pytest -q   # Python: watch it fail, fix it with AI
cd problems/05_Rate_Limiter_TS && node --test             # TypeScript: Node 24+, no build
python3 interview.py 01_Line_Wrap                         # mock interview in the terminal

Every starter fails on purpose. Make it green with an AI assistant, and never keep a line you can't explain. Log prompts and checks in each problem's AI_LOG.md.

Layout

problems/NN_*/        README ticket, starter code, failing tests, interview.json (mock), AI_LOG.md
interview.py          terminal mock interviewer
docs/                 the site: index (Layer 1), swe (2), days (3), questions (bank), reported.js (data)

License

MIT.