Hi👋SpeedAlgo • Deliberate Practice & Cognitive Ergonomics for Software Engineers

An interactive algorithm mastery and technical interview preparation platform published by Hi👋WebEnterprise. Built for senior and staff software engineers preparing for rigorous coding screens at top tech companies (FAANG/MAMAA).

13 Core Algorithmic Patterns & 225 Practice Problems

  • 1. Two Pointers (16 Paradigms, 43 Problems): Opposite ends, sorted pair sums, palindrome verification, trapping rain water, 3Sum, container with most water — includes the Sliding Window and Fast & Slow Pointers paradigms (contiguous subarray invariants, longest substrings, Floyd's cycle detection, linked list middle).
  • 2. Binary Search (9 Paradigms, 14 Problems): Monotonic predicate partitioning (feasible(x)), boundary search, rotated sorted arrays, square roots, minimum ship capacity, median of two sorted arrays, matrix median on value range.
  • 3. Bit Manipulation (5 Paradigms, 11 Problems): Counting set bits, XOR cancellation, bit reversal, bitmask pairing, maximum XOR with a bitwise trie.
  • 4. Math & Geometry (8 Paradigms, 14 Problems): Sieve of Eratosthenes, integer/roman conversions, modular arithmetic, geometric simulation.
  • 5. Tree/Graph Depth-First Search (15 Paradigms, 24 Problems): Path sums, lowest common ancestor, tree diameter, validating BSTs, tree DP (House Robber III, Binary Tree Cameras).
  • 6. Tree/Graph Breadth-First Search (5 Paradigms, 12 Problems): Level-order traversals, shortest path in unweighted graphs, zig-zag traversals, rotting oranges, word ladders.
  • 7. Graphs (12 Paradigms, 22 Problems): Topological sort, cycle detection, Dijkstra's algorithm, bipartite graph validation, network delay.
  • 8. Backtracking (6 Paradigms, 14 Problems): Subsets, permutations, combinations, constraint satisfaction, pruning, N-Queens, Sudoku solver.
  • 9. Dynamic Programming (13 Paradigms, 28 Problems): Memoization vs tabulation, 0/1 knapsack, unbounded knapsack, coin change, edit distance, longest common subsequence.
  • 10. Heap / Priority Queue (9 Paradigms, 11 Problems): Running medians, top-k elements, interval scheduling, IPO, k-way merges.
  • 11. Advanced Data Structures (7 Paradigms, 17 Problems): Trie (prefix tree), Union-Find (Disjoint Set Union), LRU Cache, LFU Cache, range-sum queries with updates.
  • 12. Stack (5 Paradigms, 9 Problems): Next greater element, largest rectangle in histogram, remove k digits, decode string, min stack.
  • 13. Intervals & Greedy (2 Paradigms, 6 Problems): Merge intervals, interval scheduling, meeting rooms by sweep line, jump game.

4-Stage Deliberate Practice Framework

  1. Stage 1 (Compare & Learn): Read the pattern's mental model, loop invariant and Big-O proof, compare the pattern's template with the problem's solution side by side, and use the step-by-step debugger. The solution can also be shown in C#, Java, TypeScript, C++, Go or Rust for almost every problem.
  2. Stage 2 (Active Recall): Rebuild the solution from memory in a code editor, with an invariant checklist and optional progressive hints, and check it against a judged test suite.
  3. Stage 3 (AI Interview Coach, coming soon): A mock-interview stage still in development; for now, students go straight from Stage 2 to Stage 4.
  4. Stage 4 (Solve on Your Own): Solve a new problem on your own against a 15-minute timer; your code is graded against a test suite. Python and TypeScript run in your browser and C# runs on our server (design problems grade in Python and TypeScript).

Equipped with a spaced-repetition review hub on a fixed 7-step schedule (1 day up to 90 days), a two-pane Studio workspace, and study notes.

Pricing, Access & Commercial Terms

  • Core Curriculum: 100% Free. No credit card required.
  • Coins: New accounts get 40 free coins once, the daily claim adds +20 coins once a day, and inviting a friend earns you +25 coins when they complete their first practice step. These are the only ways to earn coins.
  • AI Coach: Each AI coach question costs 1-5 coins, priced by the server according to its size.
  • BYOK (Bring Your Own Key): AI coaching is free with your own Google Gemini, OpenAI or OpenRouter API key (BYOK).
  • Extras: Coins also unlock extras for 24 hours: a Recall hint level (1 coin), a Solve solution reveal (2), a LeetCode problem card's solutions (1) and a pattern's extra canonical problems (1).
  • Payments & Refunds: Nothing on the site is sold for money: coins can only be earned, never bought. There are no subscriptions or charges, so there is nothing to refund.
  • Platform Operator: Hi👋WebEnterprise. Support & policies at hispeedalgo.com.
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Hi👋SpeedAlgo

Invariant-First Algorithmic Mastery

Arena
238Items
Theory Context•Bit Manipulation
EasyLC 190

Reverse Bits (LeetCode 190)

Target Frequency:GoogleAppleNetflix

You are given an integer n. Write it as a 32-bit binary number (padding with leading zeros), reverse the order of those 32 bits, and return the number the reversed bits represent.

For example, 2 is 00000000000000000000000000000010; reversed it becomes 01000000000000000000000000000000, which is 1073741824.

Worked Examples

Example 1
Input:n = 43261596
Output:964176192
Explanation: 43261596 is 00000010100101000001111010011100 in 32-bit binary. Reversed, that reads 00111001011110000010100101000000, which is 964176192.
Example 2
Input:n = 2147483644
Output:1073741822
Explanation: 2147483644 is 01111111111111111111111111111100. Reversed, that reads 00111111111111111111111111111110, which is 1073741822.

⚖️Formal Constraints & Bounds

  • 0 <= n <= 231 - 2

  • n is even.

Deep-Dive & Conceptual Insights

Core Insight

For 32 iterations, shift res left by 1 and OR it with (n & 1), then right shift n by 1. Runs in exactly 32 steps with O(1) space.

Real-World Scenario & Production Applications

Endianness conversion in network protocols, Fast Fourier Transform (FFT) bit-reversal permutation, graphic rendering texture addressing.

Step-by-Step Execution Trace Table

Iteration iCurrent n LSB (n & 1)Shift res Left (res << 1)Insert Bit (res \vert \text{bit})Shift n Right (n >> 1)Bit Position Transferred
1101n >> 1Bit 0 transferred to Bit 31
2010_210_2n >> 1Bit 1 transferred to Bit 30
31100_2101_2n >> 1Bit 2 transferred to Bit 29
...............Loop runs exactly 32 times
32LSB of 32nd bitFinal shiftFull 32-bit reversed value0Bit 31 transferred to Bit 0
Code Shape
Archetype Code Shape
Python
1res = 0
2for _ in range(32):
3 res = (res << 1) | (n & 1)
4 n >>= 1
5return res

Conceptual Narrative

Reversing 32-bit unsigned integers converts bit-level streams by extracting bits from lowest to highest and shifting them into an accumulator in O(1) time.

🧭 Conceptual Foundation & Pattern Intuition

Reversing an integer's bits is identical to reversing decimal digits: pop the least significant unit and push it onto the result accumulator. In binary, "pop" is n & 1 followed by n >>= 1, and "push" is res = (res << 1) | bit. For high-throughput systems, divide-and-conquer bitmask swapping reverses 16-bit halves, 8-bit bytes, 4-bit nibbles, 2-bit pairs, and adjacent bits in 5 mask-and-shift steps without loops.

🏟️ The Analogy: The Conveyor Belts

Imagine two 32-slot conveyor belts. Belt A moves right, dropping its rightmost box into your hand. You place the box onto Belt B, which moves left. After exactly 32 steps, Belt B contains Belt A in exact reverse order.

🔑 Why It Works

Running exactly 32 fixed cycles guarantees that the leading zeros of n are shifted into res too, so every bit lands at its mirrored position.

  • Premature loop termination with while n:: while n: stops once the last 1-bit is read, so n's leading zeros are never shifted into res: n = 2 returns 1 instead of 1073741824. Run exactly 32 rounds.

  • In C, and in C++ before C++20, shifting a signed 32-bit res into bit 31 is undefined behavior: keep res in uint32_t there. Python ints have no fixed width, so this does not apply to the Python solution.

  • In C/C++, a shift by the full width (x << 32 on a 32-bit type) is undefined behavior: the shift count must be smaller than the type's width. The 32-round loop only ever shifts by 1.

Senior SWE Reasoning Architecture

4-Phase Thought Process Model

Pattern Recognition Signals

The 10-second spot

"Write it as a 32-bit binary number (padding with leading zeros), reverse the order of those 32 bits": a fixed word size, and every bit moves to its mirrored position.

Formulating the Predicate & Invariants

Turning intuition into a boolean rule

Invariant: after k rounds, res holds the lowest k bits of the original n in reverse order, and n holds the bits not read yet; after 32 rounds bit i sits at bit 31 - i.

Silent Failure Traps & Edge Cases

Where confident candidates still lose points

  • res = (res << 1) | (n & 1) shifts before it adds: OR-ing the bit in first and shifting after (res = (res | (n & 1)) << 1) moves every bit one place too far: n = 2 returns 2147483648, not 1073741824.

The 60-Second Interview Pitch

Say this out loud before you type a single line

This is Bit Tricks: I move bits with shifts and masks, never through a string. I start with res = 0 and run exactly 32 rounds. Each round shifts res left by one, drops the lowest bit of n into the free slot with n & 1, and then shifts n right. So the first bit I read climbs one place every round and ends at the top, and after 32 rounds bit i of n sits at bit 31 - i. The rounds must be exactly 32: stopping when n hits zero would skip its leading zeros, so n = 2 would come out as 1. That is 32 constant-time rounds, O(1) time, and O(1) space.

Big-O Invariant Derivation

Complexity & Mathematical Proof

TIME COMPLEXITY

O(1)

Look at the execution steps: Fixed 32 iterations: at each step, shifts result left by 1, extracts lowest bit of input (n & 1), bitwise ORs into result, and shifts input right by 1. Always exactly 32 steps.

SPACE COMPLEXITY

O(1) Auxiliary

Look at memory allocations: Call stack uses O(1) Iterative. Only stores 32-bit integer result register in O(1) space.

Formal Recurrence Relation

T=32 constant cycles=O(1)T = 32 \text{ constant cycles} = O(1)T=32 constant cycles=O(1)

Derivation Progression

Bit Extraction & Accumulation

res = (res << 1) | (n \& 1)

Pushes lowest bit of n into lowest position of res in O(1).

Input Shift

n >>= 1

Discards processed bit.

Constant 32 Steps

32 loop iterations=O(1)32 \text{ loop iterations} = O(1)32 loop iterations=O(1)

Fixed number of CPU instructions.

Variable Definitions

323232

Fixed 32-bit unsigned integer word width

Memory Architecture & Bounds

🟣 Call Stack

O(1) Iterative

🔵 Auxiliary Heap

O(1) Single 32-bit register

🟢 Output Space

O(1) Unsigned 32-bit integer

Boundary Best / Worst Cases

Best Case

O(1)O(1)O(1) (32 fixed steps).

Average Case

O(1)O(1)O(1) (32 fixed steps).

Worst Case

O(1)O(1)O(1) (32 fixed steps).

Pointer Invariant Transition Progression

Pointer Invariant Transition Progression
Synthesizing vector architecture diagram...
Staff+ Engineering Perspective

Senior SWE Deconstruction & Hardware Caveats

ARCHITECTURAL SIGNALS & INTERVIEW TRIGGERS

The statement says: "Write it as a 32-bit binary number (padding with leading zeros), reverse the order of those 32 bits". This is a pure bit-reversal permutation. There are two approaches: a bit-by-bit stream reversal (shifting bits one by one into a result register), or a divide-and-conquer parallel mask swap (swapping 16-bit halves, then 8-bit bytes, then nibbles, then pairs, then individual bits).

CONSTRAINTS & BOUNDS

LeetCode gives n as an even integer with 0≤n≤231−20 \le n \le 2^{31} - 20≤n≤231−2, read as 32 bits. Time complexity must be O(1)O(1)O(1) (exactly 32 iterations for loop, or 5 operations for divide-and-conquer). Space must be O(1)O(1)O(1).

FAANG PRODUCTION TRAPS & EDGE CASES

The primary trap is stopping when n == 0! If n has leading zeros (e.g. n = 2, which has 30 leading zeros), stopping when n == 0 reverses only the non-zero bits, outputting 1 instead of 2^{30} (107374182410737418241073741824). The loop must strictly run for all 32 positions.

Theory Context•Bit Manipulation
EasyLC 190

Reverse Bits (LeetCode 190)

Target Frequency:GoogleAppleNetflix

You are given an integer n. Write it as a 32-bit binary number (padding with leading zeros), reverse the order of those 32 bits, and return the number the reversed bits represent.

For example, 2 is 00000000000000000000000000000010; reversed it becomes 01000000000000000000000000000000, which is 1073741824.

Worked Examples

Example 1
Input:n = 43261596
Output:964176192
Explanation: 43261596 is 00000010100101000001111010011100 in 32-bit binary. Reversed, that reads 00111001011110000010100101000000, which is 964176192.
Example 2
Input:n = 2147483644
Output:1073741822
Explanation: 2147483644 is 01111111111111111111111111111100. Reversed, that reads 00111111111111111111111111111110, which is 1073741822.

⚖️Formal Constraints & Bounds

  • 0 <= n <= 231 - 2

  • n is even.

Deep-Dive & Conceptual Insights

Core Insight

For 32 iterations, shift res left by 1 and OR it with (n & 1), then right shift n by 1. Runs in exactly 32 steps with O(1) space.

Real-World Scenario & Production Applications

Endianness conversion in network protocols, Fast Fourier Transform (FFT) bit-reversal permutation, graphic rendering texture addressing.

Step-by-Step Execution Trace Table

Iteration iCurrent n LSB (n & 1)Shift res Left (res << 1)Insert Bit (res \vert \text{bit})Shift n Right (n >> 1)Bit Position Transferred
1101n >> 1Bit 0 transferred to Bit 31
2010_210_2n >> 1Bit 1 transferred to Bit 30
31100_2101_2n >> 1Bit 2 transferred to Bit 29
...............Loop runs exactly 32 times
32LSB of 32nd bitFinal shiftFull 32-bit reversed value0Bit 31 transferred to Bit 0
Code Shape
Archetype Code Shape
Python
1res = 0
2for _ in range(32):
3 res = (res << 1) | (n & 1)
4 n >>= 1
5return res

Conceptual Narrative

Reversing 32-bit unsigned integers converts bit-level streams by extracting bits from lowest to highest and shifting them into an accumulator in O(1) time.

🧭 Conceptual Foundation & Pattern Intuition

Reversing an integer's bits is identical to reversing decimal digits: pop the least significant unit and push it onto the result accumulator. In binary, "pop" is n & 1 followed by n >>= 1, and "push" is res = (res << 1) | bit. For high-throughput systems, divide-and-conquer bitmask swapping reverses 16-bit halves, 8-bit bytes, 4-bit nibbles, 2-bit pairs, and adjacent bits in 5 mask-and-shift steps without loops.

🏟️ The Analogy: The Conveyor Belts

Imagine two 32-slot conveyor belts. Belt A moves right, dropping its rightmost box into your hand. You place the box onto Belt B, which moves left. After exactly 32 steps, Belt B contains Belt A in exact reverse order.

🔑 Why It Works

Running exactly 32 fixed cycles guarantees that the leading zeros of n are shifted into res too, so every bit lands at its mirrored position.

  • Premature loop termination with while n:: while n: stops once the last 1-bit is read, so n's leading zeros are never shifted into res: n = 2 returns 1 instead of 1073741824. Run exactly 32 rounds.

  • In C, and in C++ before C++20, shifting a signed 32-bit res into bit 31 is undefined behavior: keep res in uint32_t there. Python ints have no fixed width, so this does not apply to the Python solution.

  • In C/C++, a shift by the full width (x << 32 on a 32-bit type) is undefined behavior: the shift count must be smaller than the type's width. The 32-round loop only ever shifts by 1.

Senior SWE Reasoning Architecture

4-Phase Thought Process Model

Pattern Recognition Signals

The 10-second spot

"Write it as a 32-bit binary number (padding with leading zeros), reverse the order of those 32 bits": a fixed word size, and every bit moves to its mirrored position.

Formulating the Predicate & Invariants

Turning intuition into a boolean rule

Invariant: after k rounds, res holds the lowest k bits of the original n in reverse order, and n holds the bits not read yet; after 32 rounds bit i sits at bit 31 - i.

Silent Failure Traps & Edge Cases

Where confident candidates still lose points

  • res = (res << 1) | (n & 1) shifts before it adds: OR-ing the bit in first and shifting after (res = (res | (n & 1)) << 1) moves every bit one place too far: n = 2 returns 2147483648, not 1073741824.

The 60-Second Interview Pitch

Say this out loud before you type a single line

This is Bit Tricks: I move bits with shifts and masks, never through a string. I start with res = 0 and run exactly 32 rounds. Each round shifts res left by one, drops the lowest bit of n into the free slot with n & 1, and then shifts n right. So the first bit I read climbs one place every round and ends at the top, and after 32 rounds bit i of n sits at bit 31 - i. The rounds must be exactly 32: stopping when n hits zero would skip its leading zeros, so n = 2 would come out as 1. That is 32 constant-time rounds, O(1) time, and O(1) space.

Big-O Invariant Derivation

Complexity & Mathematical Proof

TIME COMPLEXITY

O(1)

Look at the execution steps: Fixed 32 iterations: at each step, shifts result left by 1, extracts lowest bit of input (n & 1), bitwise ORs into result, and shifts input right by 1. Always exactly 32 steps.

SPACE COMPLEXITY

O(1) Auxiliary

Look at memory allocations: Call stack uses O(1) Iterative. Only stores 32-bit integer result register in O(1) space.

Formal Recurrence Relation

T=32 constant cycles=O(1)T = 32 \text{ constant cycles} = O(1)T=32 constant cycles=O(1)

Derivation Progression

Bit Extraction & Accumulation

res = (res << 1) | (n \& 1)

Pushes lowest bit of n into lowest position of res in O(1).

Input Shift

n >>= 1

Discards processed bit.

Constant 32 Steps

32 loop iterations=O(1)32 \text{ loop iterations} = O(1)32 loop iterations=O(1)

Fixed number of CPU instructions.

Variable Definitions

323232

Fixed 32-bit unsigned integer word width

Memory Architecture & Bounds

🟣 Call Stack

O(1) Iterative

🔵 Auxiliary Heap

O(1) Single 32-bit register

🟢 Output Space

O(1) Unsigned 32-bit integer

Boundary Best / Worst Cases

Best Case

O(1)O(1)O(1) (32 fixed steps).

Average Case

O(1)O(1)O(1) (32 fixed steps).

Worst Case

O(1)O(1)O(1) (32 fixed steps).

Pointer Invariant Transition Progression

Pointer Invariant Transition Progression
Synthesizing vector architecture diagram...
Staff+ Engineering Perspective

Senior SWE Deconstruction & Hardware Caveats

ARCHITECTURAL SIGNALS & INTERVIEW TRIGGERS

The statement says: "Write it as a 32-bit binary number (padding with leading zeros), reverse the order of those 32 bits". This is a pure bit-reversal permutation. There are two approaches: a bit-by-bit stream reversal (shifting bits one by one into a result register), or a divide-and-conquer parallel mask swap (swapping 16-bit halves, then 8-bit bytes, then nibbles, then pairs, then individual bits).

CONSTRAINTS & BOUNDS

LeetCode gives n as an even integer with 0≤n≤231−20 \le n \le 2^{31} - 20≤n≤231−2, read as 32 bits. Time complexity must be O(1)O(1)O(1) (exactly 32 iterations for loop, or 5 operations for divide-and-conquer). Space must be O(1)O(1)O(1).

FAANG PRODUCTION TRAPS & EDGE CASES

The primary trap is stopping when n == 0! If n has leading zeros (e.g. n = 2, which has 30 leading zeros), stopping when n == 0 reverses only the non-zero bits, outputting 1 instead of 2^{30} (107374182410737418241073741824). The loop must strictly run for all 32 positions.

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