# fishercoder1534/Leetcode: A Java Solution Repository You Clone, Not Install

> This is a Gradle Java project holding one author's LeetCode solutions across algorithms, database, shell and JavaScript, plus a paginated index for browsing them. It is useful as a reference and as a practice harness, not as a library you add to a build.

**fishercoder1534/Leetcode** — Solutions to LeetCode problems; updated daily. Subscribe to my YouTube channel for more.

- Repository: https://github.com/fishercoder1534/Leetcode
- Website: https://youtube.com/FisherCoder
- Stars: 4,001 · Forks: 1,291
- Language: Java
- License: Apache-2.0
- Published: 2026-09-23 · Updated: 2026-09-23 · Language: en
- Canonical page: https://hysenlabs.com/projects/fishercoder1534-leetcode

## What the repository actually contains

The repository is one author's answer key to LeetCode problems, written mainly in Java. The README labels the project "Java / MySQL / Bash", and the top-level entries confirm that shape: src/ holds the Java sources, with separate database/, shell/, javascript/, python3/ and cpp/ directories for the other languages. Solutions are indexed through paginated_contents/, which is split into algorithms/1st_thousand through algorithms/5th_thousand, plus database, shell and javascript folders. That pagination is the browsing mechanism: you find a problem by its number band, not by searching a single flat list.

The audience is narrow and clear. This is for someone preparing for coding interviews in Java who wants to read a working solution next to their own attempt, and for contributors who want to add problems through pull requests. It is not a library, not a service, and not a teaching course. There is no API, no published artifact, and no versioned release: the releases list is empty, so the only way to consume it is to clone the repository at a point in time. The README's own framing is minimal, opening with a LeetCode link and a Quora quote about interview preparation, then pointing at the paginated folders.

One consequence of that structure is worth stating plainly. Because the index is by problem number band, the repository's usefulness decays as LeetCode adds problems. The README already carries bands up to 4000 to 4999, which tells you the author is tracking the expansion, but a clone taken today will not contain problems published tomorrow. There is no changelog in the repository, so the only signal that new solutions arrived is the repository's push history.

## How a solution is organized and how the index maps to it

The data flow is simple: a problem number maps to a folder band, the band links to a file, and the file contains a Java class with the solution method. The README gives no naming convention for those files and no explanation of the class structure, so the convention has to be read off the repository itself rather than from documentation. That is a real gap for a newcomer: the README explains where to browse but not what a file will look like when you arrive.

The language split is not a translation layer. The MySQL problems live under database/, the Bash problems under shell/, and JavaScript under javascript/, each with its own paginated index. The README links to all three separately. This means the repository is closer to four parallel collections under one roof than to a single polyglot solution set. If you are working through SQL problems, the Java tree is irrelevant to you, and vice versa.

Build and style enforcement are visible in the repository layout rather than the README. build.gradle and settings.gradle sit at the top level alongside gradlew and gradlew.bat, and fishercoder_checkstyle.xml indicates a Checkstyle configuration is part of the project. The README's contributing section points contributors at a CI build check before submitting a pull request, and the badge at the top of the README references a GitHub Actions workflow at .github/workflows/gradle.yml. So the intended loop is: change code, run the Gradle build, let the workflow verify it. The README does not describe what the build produces or how tests are run, which is the main documentation hole in an otherwise conventional Gradle layout.

## Cloning and opening it in IntelliJ

There is no install step in the usual sense. The README's section titled "Best way to open this project" is the closest thing to setup instructions, and it is IntelliJ-centric. It says to install IntelliJ, either CE or UE, clone the repository, and import it as a new project, noting that it does need to be imported as a Gradle project.

The clone is a plain git clone. The README's contributing section shows the command with a placeholder for your own username, which is the form you would use for a fork; for the upstream repository you would substitute the owner.

```bash
git clone https://github.com/fishercoder1534/Leetcode.git
cd Leetcode
```

After cloning, the README's instruction is to import the directory into IntelliJ as a Gradle project. The wrapper scripts gradlew and gradlew.bat are present at the top level, so the build can be driven from the command line without a system Gradle install:

```bash
./gradlew build
```

The README does not state what a successful build prints, so treat the exit status as the signal. If the import fails with a Java version error, the README gives a specific remedy: use a local Gradle distribution instead of the default, and it names the path /usr/local/Cellar/gradle/4.8.1/libexec/ as the example, linking to a Stack Overflow question about the "Could not determine Java version using executable" error. That path is Homebrew-specific and pinned to an old Gradle version, so on other platforms you would point at wherever your local distribution lives. This is the one piece of troubleshooting the README documents, and it is worth knowing before you start, because the failure it addresses blocks the import entirely.

## Where this repository is the wrong tool

The first limitation is that the problems themselves are not here. The README links to leetcode.com for the problem set; the repository holds solutions. Reading a solution without the statement, constraints and examples is often useless, so the practical workflow is two windows: the repository for code, the site for the problem. Nothing in the README suggests the statements are mirrored, and the paginated index links only to repository folders.

Second, this is a personal solution set, not a curated or reviewed corpus. The README invites contributions and asks that pull requests build, but there is no described review process, no statement of which solutions are considered canonical or optimal, and no complexity annotations mentioned. If you want a solution with a proof of optimality or a discussion of trade-offs, a single author's file will frequently not give you one. Treat every file as one working answer rather than the answer.

Third, the MySQL and Bash directories are secondary. The README links them, but the project's identity, its primary language and its topics are Java-centric. If your interview loop is SQL-heavy, you are using the smallest part of this repository and would get more from a dedicated SQL practice resource.

Finally, the repository cannot tell you whether a solution still passes. LeetCode changes test cases and occasionally problem definitions, and the repository has no mechanism described for re-validating old solutions against the live judge. The CI badge covers the build, not correctness against LeetCode. A file that compiles is not the same as a file that is accepted today, and the README makes no claim otherwise.

## How it differs from other ways of studying the same problems

The most direct alternative is a multi-language solution collection, of which there are many on GitHub. The difference here is not quality but shape: this repository is organized by problem number band with separate trees per language and a single author's voice throughout, whereas multi-language collections typically present several implementations of the same problem side by side in one place. If your goal is to compare how a Java solution differs from a Python one for the same problem, this repository makes that comparison awkward, because the python3/ and cpp/ trees are separate from the Java sources and the README does not describe a cross-reference between them.

A second alternative is a structured problem list, such as the curated sets people refer to as LeetCode 150, hot 100 or 75. Those give you an ordering and a scope; this repository gives you a number-indexed archive. They solve different problems. A list tells you what to practice next and in what order; this repository tells you what one person wrote for a given number. If you are deciding what to study, the list is the better artifact. If you have already picked a problem and want to see a Java implementation, this repository is the better artifact. Neither replaces the other, and the README does not claim to be a study plan.

A third alternative is simply solving the problem yourself and reading the site's own discussion afterwards. That path keeps you inside the judge, where your submission is actually evaluated, and gives you access to many explanations rather than one. The case for cloning this repository instead is speed and offline access to Java code, plus the ability to run and modify it locally. The case against is that you inherit one author's style and one snapshot of correctness.

## Maintenance, contribution cost and the Apache-2.0 licence

The repository is not archived, and its last push was on 2026-09-20. There are no releases, so there is no version to pin and no upgrade path in the conventional sense: keeping current means pulling master again. For a repository of this kind that is acceptable, since nothing depends on it at build time. If you fork it and add solutions, the cost is the pull request loop the README describes: fork, clone your fork, create a feature branch, commit, push, open a pull request. The README asks that your pull request build, and points at the CI build check, so expect the Gradle build and the Checkstyle configuration to gate your changes.

The licence is Apache-2.0, per the badge and LICENSE.md. That is a permissive licence, which generally means you can reuse and modify the code, including commercially, provided you keep the licence and notices intact. This is not legal advice, and the practical question for a reader is narrower anyway: copying a solution verbatim into an interview submission is a different act from reading it, and the licence says nothing about the site's own terms of service. Check those separately if it matters to you. The README does not discuss attribution requirements beyond the licence file itself.

## Conclusion

Adopt it if you want a Java-first reference corpus you can open in IntelliJ next to your own attempts, and if you are comfortable reading code whose problem statement lives on leetcode.com rather than in the repository. Do not adopt it as a dependency, as a source of MySQL or Bash answers, or as a substitute for the LeetCode judge. Before relying on any file, verify three things: that the problem number matches the current LeetCode numbering, that the class and method signature still matches the judge's expected entry point, and that the file compiles under the Java version your local Gradle distribution expects, since the README's troubleshooting note points at a Gradle 4.8.1 path.

## FAQ

### What is fishercoder1534/Leetcode used for?

It is a collection of LeetCode solutions, mainly in Java, with separate trees for database, shell, JavaScript, Python and C++ problems. The README frames it around coding interview preparation and points readers at paginated indexes by problem number.

### How do I install fishercoder1534/Leetcode on my laptop?

There is no installer. The README's "Best way to open this project" section says to install IntelliJ (CE or UE), clone the repository, and import it as a Gradle project. The gradlew wrapper is present at the top level if you prefer the command line.

### How do I use fishercoder1534/Leetcode for Java?

The Java sources live under src/, and the README indexes problems through paginated_contents/algorithms, split into bands from 1 to 999 up to 4000 to 4999. Open the band matching your problem number, then read the class in the Java tree.

### How do I use fishercoder1534/Leetcode to practice SQL?

The README links a database index under paginated_contents/database, and the repository has a top-level database/ directory for MySQL problems. The README does not document the file naming convention used there.

### How do I use fishercoder1534/Leetcode to prepare for interviews?

The README opens with a quoted line calling LeetCode one of the best online resources for coding interview preparation, and organizes solutions by problem number band so you can look up a problem you are working through. It does not prescribe a study order.

## Sources

- [fishercoder1534/Leetcode on GitHub](https://github.com/fishercoder1534/Leetcode)
- [Issues](https://github.com/fishercoder1534/Leetcode/issues)
- [License: Apache-2.0](https://github.com/fishercoder1534/Leetcode/blob/master/LICENSE)
- [Project website](https://youtube.com/FisherCoder)
- [README](https://github.com/fishercoder1534/Leetcode/blob/master/README.md)

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Hysen Labs editorial analysis, written from the project's own repository and release notes. Cite the canonical page: https://hysenlabs.com/projects/fishercoder1534-leetcode