
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 solutionPractice 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
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

Coding interview problem explanations focused on pattern recognition, invariants, complexity, edge cases, and reliable implementation.
Problem patterns
Choose a solution pattern and practice recognizing the structural signals that point toward it before reading the final algorithm.
Use arrays, hash maps, and sets for fast lookup, counting, grouping, and deduplication.
Explore patternsCoordinate two indices to shrink the search space in arrays, strings, and partitions.
Explore patternsMaintain a moving range to solve contiguous subarray and substring problems efficiently.
Explore patternsReason about overlap, containment, gaps, scheduling, and interval boundaries.
Explore patternsSort and combine overlapping intervals into the smallest set of disjoint ranges.
Explore patternsReverse, splice, partition, rotate, and delete linked-list nodes safely in place.
Explore patternsMerge multiple sorted sources by tracking the next candidate from each one.
Explore patternsUse binary search for ordered lookup, boundaries, rotated arrays, peaks, and monotonic partitions.
Explore patternsBinary-search a numeric answer space when feasibility changes monotonically.
Explore patternsGenerate subsets and related combinatorial families with clean include-or-exclude reasoning.
Explore patternsMake provably safe local choices that lead to a globally optimal result.
Explore patternsExplore constrained choices recursively, prune invalid paths, and undo state cleanly.
Explore patternsSolve problems with one-dimensional DP states, recurrences, base cases, and memory compression.
Explore patternsModel DP problems that naturally require two coordinates or progress dimensions.
Explore patternsPlace values at natural indices to expose missing, duplicate, or displaced values.
Explore patternsManipulate 2D grids with rotations, traversals, markings, layers, and in-place transformations.
Explore patternsUse LIFO state for nesting, parsing, simulation, path simplification, and deferred work.
Explore patternsMaintain monotonic candidates for next-greater, histogram, and sliding-window problems.
Explore patternsUse DFS to propagate subtree results, path state, and structural information through trees.
Explore patternsTrack the smallest evolving state needed to preserve a scan or simulation invariant.
Explore patternsUse XOR, masks, shifts, and binary representation as the core problem-solving model.
Explore patternsSplit a problem into independent subproblems and combine their results recursively.
Explore patternsFeatured problems
Start with problems that teach transferable reasoning patterns rather than one-off tricks.

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…
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A Sudoku validator does not solve the puzzle. It tracks whether the digits already placed violate any row, column, or 3×3 box constraint.
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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,…
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New coding interview problems with explicit derivation, complexity analysis, edge cases, and implementation reasoning.

The target does not identify the winning triplet. It tells each pointer which direction is still worth exploring.
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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.
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Four choices suggest an O(n^4) search. Sorting changes the last two choices into a controlled walk.
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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…
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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…
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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 solutionUse Python and JavaScript tutorials to reinforce implementation mechanics, then continue into advanced AI engineering.
Beginner-friendly Python tutorials, examples, and learning paths for practical programming foundations.
Beginner-friendly JavaScript tutorials for practical web development and self-taught developers.
Advanced AI engineering tutorials on context, harness, loop, graph, agent, and production-system design.