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Coding interview problem solving

Derive interview solutions instead of memorizing tricks.

Practice familiar coding problems by making the reasoning visible: structural clues, brute-force baselines, invariants, optimization steps, complexity, edge cases, dry runs, and clean implementation.

Our approach

Learn how to derive coding-interview solutions, not just recognize them afterward

AlgoGrinder starts from familiar coding-interview patterns but spends its effort on the missing middle: how you notice the pattern, what clues matter, how you split the problem into subproblems, which invariant makes the solution work, and how the reasoning turns into code. Python is the primary implementation language at launch, with the reasoning kept portable to JavaScript and Java.

Editorial standards

AlgoGrinder Team

AlgoGrinder Team

Algorithms editorial team

Coding interview problem explanations focused on pattern recognition, invariants, complexity, edge cases, and reliable implementation.

  • Cover one named coding problem per problem article and place it under its primary solution pattern.
  • Show how to recognize the pattern from constraints and structural clues before presenting the optimized solution.
  • Break the problem into explicit subproblems or obligations and show how each part of the algorithm satisfies one of them.

Problem patterns

Browse coding interview patterns

Choose a solution pattern and practice recognizing the structural signals that point toward it before reading the final algorithm.

foundation
3 articles

Arrays & Hashing

Use arrays, hash maps, and sets for fast lookup, counting, grouping, and deduplication.

Explore patterns
core-pattern
10 articles

Two Pointers

Coordinate two indices to shrink the search space in arrays, strings, and partitions.

Explore patterns
core-pattern
3 articles

Sliding Window

Maintain a moving range to solve contiguous subarray and substring problems efficiently.

Explore patterns
core-pattern
1 article

Intervals

Reason about overlap, containment, gaps, scheduling, and interval boundaries.

Explore patterns
core-pattern
1 article

Merge Intervals

Sort and combine overlapping intervals into the smallest set of disjoint ranges.

Explore patterns
core-pattern
9 articles

In-Place Linked List Manipulation

Reverse, splice, partition, rotate, and delete linked-list nodes safely in place.

Explore patterns
intermediate
1 article

K-Way Merge

Merge multiple sorted sources by tracking the next candidate from each one.

Explore patterns
core-pattern
6 articles

Modified Binary Search

Use binary search for ordered lookup, boundaries, rotated arrays, peaks, and monotonic partitions.

Explore patterns
intermediate
1 article

Binary Search on the Answer

Binary-search a numeric answer space when feasibility changes monotonically.

Explore patterns
core-pattern
1 article

Subsets & Combinatorial Generation

Generate subsets and related combinatorial families with clean include-or-exclude reasoning.

Explore patterns
intermediate
3 articles

Greedy Techniques

Make provably safe local choices that lead to a globally optimal result.

Explore patterns
intermediate
13 articles

Backtracking

Explore constrained choices recursively, prune invalid paths, and undo state cleanly.

Explore patterns
intermediate
5 articles

One-Dimensional Dynamic Programming

Solve problems with one-dimensional DP states, recurrences, base cases, and memory compression.

Explore patterns
advanced
9 articles

Two-Dimensional Dynamic Programming

Model DP problems that naturally require two coordinates or progress dimensions.

Explore patterns
core-pattern
1 article

Cyclic Sort & Index Placement

Place values at natural indices to expose missing, duplicate, or displaced values.

Explore patterns
core-pattern
4 articles

Matrices & Grid Transformations

Manipulate 2D grids with rotations, traversals, markings, layers, and in-place transformations.

Explore patterns
core-pattern
2 articles

Stacks

Use LIFO state for nesting, parsing, simulation, path simplification, and deferred work.

Explore patterns
intermediate
2 articles

Monotonic Stacks & Queues

Maintain monotonic candidates for next-greater, histogram, and sliding-window problems.

Explore patterns
core-pattern
4 articles

Tree Depth-First Search

Use DFS to propagate subtree results, path state, and structural information through trees.

Explore patterns
core-pattern
18 articles

State Tracking & Invariants

Track the smallest evolving state needed to preserve a scan or simulation invariant.

Explore patterns
intermediate
2 articles

Bitwise Manipulation

Use XOR, masks, shifts, and binary representation as the core problem-solving model.

Explore patterns
advanced
1 article

Divide & Conquer

Split a problem into independent subproblems and combine their results recursively.

Explore patterns

Featured problems

Practice high-value interview patterns

Start with problems that teach transferable reasoning patterns rather than one-off tricks.

3D abstract geometric structure with gold lines and black polygons on a dark background.
advanced
13 min read

N-Queens

The board is only the output surface. The real N-Queens solution is a depth-n search over column assignments, with three constraints checked before each…

View solution
A modern open laptop with a black screen placed on lush green grass, symbolizing technology and nature.
intermediate
8 min read

Valid Sudoku

A Sudoku validator does not solve the puzzle. It tracks whether the digits already placed violate any row, column, or 3×3 box constraint.

View solution
A child actively assembling a robotics project with electronic components, showcasing technology education.
intermediate
14 min read

Word Search

A grid DFS can match the right letters and still be wrong. The missing piece is path-local state: mark a cell when you enter it, explore from that choice,…

View solution

Latest

Recently added problem solutions

New coding interview problems with explicit derivation, complexity analysis, edge cases, and implementation reasoning.

Professional team discussing analytics and brainstorming ideas in a meeting room.
intermediate
12 min read

3Sum Closest

The target does not identify the winning triplet. It tells each pointer which direction is still worth exploring.

View solution
Close-up of hands coding on a laptop, showcasing software development in action.
intermediate
10 min read

3Sum

A reliable 3Sum solution comes from turning a cubic search into a sequence of sorted two-sum scans—and proving why each pointer move is safe.

View solution
Visual abstraction of neural networks in AI technology, featuring data flow and algorithms.
advanced
13 min read

4Sum

Four choices suggest an O(n^4) search. Sorting changes the last two choices into a controlled walk.

View solution
Lush green pine tree with a vibrant blue sky background, perfect for nature-themed projects.
beginner
11 min read

Add Binary

You receive two binary strings, a and b, and must return their sum as another binary string. The inputs contain only '0' and '1', have lengths from 1 to…

View solution
A person working on a laptop with a red notebook and glasses on a white table.
intermediate
10 min read

Add Two Numbers

The lists already expose digits in the order addition needs. Scan both lists together, track one carry, and keep going until there is no digit or carry…

View solution
Smartphone displaying AI app with book on AI technology in background.
beginner
10 min read

Binary Tree Inorder Traversal

The difficult part of inorder traversal is not remembering “left, node, right.” It is preserving the parent node while the left subtree is still…

View solution
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