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Practical Coding Rounds

The interview formats that replaced pure algorithm grinding and unsupervised take-homes as AI made both lower-signal — debugging unfamiliar code, extending a real repository, refactoring and code review, testing under time pressure, API integration, machine coding on a clock, and AI-allowed pairing.

How to use this roadmap

  • This complements, and deliberately doesn't repeat, the DSA and Concurrency roadmaps — pure algorithms and thread-coordination puzzles stay there. Everything here is about working inside real, imperfect code under real time pressure.
  • Topics build roughly in the order a candidate encounters them across a loop, but each is self-contained — jump straight to the format you know is coming up.
  • Reference implementations target Python, Java, and JavaScript — this roadmap's theory and exercises are otherwise language-agnostic by design.
  • There's no single “LeetCode” equivalent for these formats — practice problems link out to refactoring katas, Exercism, and public practice APIs instead.
  • This is an independent track in the interview prep collection: its own progress, its own “come back later” list, and no interview countdown.

Your Progress

0%
0 / 9Problems solved
0h / 11hTime invested
18Subtopics across 8 topics
Solved by difficulty
0/11
0/52
0/33
0/04
0/05
Progress by topic
Practical Round Foundations
0/2
Debugging Unfamiliar Code
0/2
Extending an Existing Codebase
0/4
Testing Under Time Pressure
0/5
Refactoring & Code Review Rounds
0/3
API & Data Integration Exercises
0/6
Machine-Coding Execution Speed
0/2
Collaborative & AI-Assisted Coding
0/3

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0Come Back Later

The Roadmap

  1. 1

    What a 'practical coding round' actually means in 2026, and how to survive being watched while you work.

    1. 1.1The 2026 Practical Interview Landscape!!!1/520m
    2. 1.2Working Under Observation!!!2/520m
  2. 2

    The bug-squash round: reproduce, isolate, and fix a real bug in code you've never seen, on a clock.

    1. 2.1Debugging Methodology: Reproduce → Isolate → Hypothesize → Fix!!!3/525m
    2. 2.2Orienting Fast in a Strange Codebase!!!2/520m
  3. 3

    The repository-based round: add a feature to code you didn't write, without becoming the next person who broke it.

    1. 3.1Reading for Conventions Before Writing a Line!!!2/51h
    2. 3.2Turning a Red Test Suite Green!!!3/545m
  4. 4

    Writing correct, useful tests fast enough that they save time in a live round instead of costing it.

    1. 4.1TDD Mechanics: Red-Green-Refactor and Ping-Pong TDD!!!2/550m
    2. 4.2Test Doubles: Choosing Stubs, Mocks, and Fakes Fast!!3/520m
    3. 4.3Characterization Tests: Locking Down Behavior Before You Touch It!!!3/51h 5m
  5. 5

    Reading unfamiliar code like a reviewer, and changing it in steps small enough that a mistake is always cheap to undo.

    1. 5.1Safe Refactoring in Small, Reversible Steps!!!3/545m
    2. 5.2Reading Code Like a Reviewer: Severity-Ranked Feedback!!3/520m
  6. 6

    Stripe calls it the 'Integration round': given docs and a goal, build something that actually talks to a real API and survives real-world responses.

    1. 6.1Working From Docs: Auth, Pagination, Retries, and Idempotent Calls!!!3/51h 25m
    2. 6.2Defensive Data Handling: Parsing and Validating Real-World Input!!2/51h
  7. 7

    You already know how to design a parking lot or a rate limiter. This topic is about actually finishing one, working, in 60-90 minutes.

    1. 7.1Clock Discipline: Scoping and Sequencing a Machine-Coding Round!!!3/525m
    2. 7.2Designing for Extension Without Over-Engineering!!!3/520m
  8. 8

    The capstone topic: two people at one keyboard, defending code you wrote days ago, and — increasingly — an AI assistant sitting in as a third participant.

    1. 8.1Pair Programming Roles: Driver and Navigator!!!2/520m
    2. 8.2Defending a Take-Home Project: The Interview After the Interview!!2/520m
    3. 8.3AI-Allowed Live Coding: A New Rulebook, Not a Cheat Code!!!3/525m