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Products that do what Model Kombat by HackerRank does

The AI Code Arena

  1. 1

    New, performant version of Meta's LLM for code generation

    2024

  2. 2

    Build native applications in seconds

    2023

  3. 3

    Vibe-check many open-source and proprietary LLMs at once

    2024

  4. 4

    Never ship broken AI code again

    Sep 2025

  5. 5

    AI models recommended for developers by the opencode team

    Sep 2025

  6. 6
    Playcode139

    The world's best AI website builder. 10 years in the making.

    Mar 2026

  7. 7

    Turn Your Ideas into Playable Games – No Code Required!

    2025

  8. 8

    Build better software, faster using AI (available for Java)

    2019

  9. 9
    Buildt AI141

    LLM powered code search, explanations & cross-file codegen

    2023

  10. 10

    Real developers help vibecoders with AI-built apps

    Mar 2026

  11. 11

    AI-first code reviews, issue analysis and real-time chat

    2024

  12. 12IB

    I’ve spent the last 2.5 months building a product that runs LLM-powered code reviews on my pull requests — and I just launched it. The tool is built specifically for solo developers. You install it on your repo, trigger a scan by creating a pull request, and it leaves structured review comments using OpenAI under the hood. Funnily enough, I used the dev version of this app to review its own pull requests while building it. It helped me spot bugs, simplify structure, and keep quality high — all with minimal need for another human in the loop. Things I want to try out in the next months : -…

    2025 · codii.dev

  13. 13MC

    Hey HN - I built ModelGuessr, a game where you chat with a random AI model and try to guess which one it is. A big open question in AI is whether there's enough brand differentiation for AI companies to capture real profits. Will models end up commoditized like cloud compute, or differentiated like smartphones? I built ModelGuessr to test this. I think that people will struggle more than they expect. And the more model mix-ups there are, the more commodity-like these models probably are. If enough people play, I'll publish some follow-up analyses on confusion patterns (which models get…

    Dec 2025 · model-guessr.com

  14. 14MD

    We’re excited to share ML-Dev-Bench, a new open-source benchmark that tests AI agents on real-world ML development tasks. Unlike typical coding challenges or Kaggle-style competitions, our benchmark simulates end-to-end ML workflows including: - Dataset handling and preprocessing - Debugging model and code failures - Implementing new model architectures - Fine-tuning and improving existing models With 30 diverse tasks, ML-Dev-Bench evaluates agents across critical stages of ML development. To complement this, we built Calipers, a framework that provides systematic performance evaluation and…

    2025 · github.com

  15. 15TN

    Hi guys, I’m excited to share an update on ReproModel, an open-source toolbox designed to streamline the testing and reproduction of machine learning models. I, like many of you, have really struggled with benchmarking and comparing models, from missing code, to opaque experiment parameters slowing the process. I decided to take matters into my own hands, and created a mini-toolbox in my free time to streamline the process. The goal is to reduce the time and effort spent on replicating experiments, enabling researchers to focus on innovation rather than setup. Knowing this task is not an…

    2024 · github.com

  16. 16AT

    Hi everyone! We just launched Depth AI - a tool that helps you onboard to large and messy codebases. Unlike most dev tools that help in codegen and building smaller apps, this one mainly aims at understanding large repos better - so we have focussed a lot of code search quality. We also launched the first version on product hunt https://www.producthunt.com/posts/depth-ai. Do check us out. Would love to hear feedback here and discuss more how our approach to code search is different.

    2024

  17. 17AC

    I put together a directory of agentic coding tools & things like autonomous app builders, CLI agents, VSCode copilots, and multi-agent dev platforms. Most of these tools can plan, scaffold, and write code with minimal input. Some are polished, some experimental. I wanted a way to compare them all in one place. You can filter by autonomy level, LLMs used, pricing, open source, etc. It’s a compact UI—works on mobile, has dark mode, and no signups or fluff. Would love feedback: Are there tools I’ve missed? Anything that should be organized differently? Info you wish was included? Cheers.

    2025 · aisnoop.org

  18. 18SF
  19. 19OS

    Hey HN! I'm one of the cofounders of Sourcebot, an open source alternative to Sourcegraph. Sourcebot lets you index thousands of repos across multiple platforms (GitHub, GitLab, Bitbucket), and gives you a powerful interface to search across them. You can learn more in our original HN launch post: https://news.ycombinator.com/item?id=41711032 We just added an AI code review agent that reviews your PRs and automatically detects issues that a human reviewer may have missed. We've been using an AI code review agent for a few weeks now, and it regularly catches issues that we…

    2025 · docs.sourcebot.dev

  20. 20BA

    I built CodeLens.AI - a tool that compares how 6 top LLMs (GPT-5, Claude Opus 4.1, Claude Sonnet 4.5, Grok 4, Gemini 2.5 Pro, o3) handle your actual code tasks. How it works: - Upload code + describe task (refactoring, security review, architecture, etc.) - All 6 models run in parallel (~2-5 min) - See side-by-side comparison with AI judge scores - Community votes on winners (blind voting) - Each evaluation gets reflected in the overall AI model leaderboard, showing us best ones Why I built this: Existing benchmarks (HumanEval, SWE-Bench) don't reflect real-world developer tasks. I wanted to…

    Oct 2025 · codelens.ai

  21. 21BC

    We are a small group of undergrads interested in building human in the loop coding agents. We dream of a world where building complex agent workflows feels as simple and creative as playing with legos. When we were building stuff we needed a tool that made it easy to try out different code embedding models so that we could see which ones worked best in different scenarios and understand their strengths and weaknesses. So to speed that process up we made PurpleSearch an 'instant' search engine for your local codebases. This tool lets you quickly deploy any open source embedding model on…

    2025

  22. 22IB

    Hi all, I'm sure some of the best engineers out here are having a hard time standing out nowadays. It's hard to evaluate and improve your skills, when AI is writing the code. Especially when a junior dev is sitting by your side and "accomplishing" 2x more than you. I didn't like this reality where the line between real talent and AI slop is blurring, so I decided to create a challenge, purely for the community, that is made to truly give a stage for talented devs to stand out in the age of AI. We encourage devs to bring their agents with them, because the challenge is built to not be…

    May 2026 · theincidentchallenge.com

  23. 23
    JoinAI2

    LeetCode for ML/AI Coding Problems

    12d ago · joinai.com

  24. 24PA

    Hey HN, we’re the team at Morph Labs and we’re excited to release Phorm (https://phorm.ai), a fast, simple, and SOTA codebase answer engine. You can search over up to 8 repositories in almost any language, and Phorm can comfortably handle repositories up to ~200K LOC each. It is free during our initial research preview. Phorm’s Advanced Indexing combines synthetic data with static analysis of the code graph to improve the relevancy of search results by up to 3X. We’re proud to launch with featured Advanced Indexing support for a select group of leading open-source projects: - Nomic…

    2024 · phorm.ai

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