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Alternatives

Products that do what Mergi does

Code review for the age of AI.

  1. 1
    Mergify98

    Stop merging your pull requests manually

    2018

  2. 2
    mern.ai127

    Build full stack apps by chatting with AI

    2023

  3. 3
    Merlio243

    All your favorite AI models one power tool

    2025

  4. 4
    Yavy110

    Turn any website into an MCP server for AI

    Feb 2026

  5. 5
    GitChat48

    AI agent for GitHub pull request summaries and chat

    2024

  6. 6

    AI-powered PR reviews to speed up GitHub workflows

    2025

  7. 7
    Haystack120

    Review the pull requests that actually need human attention

    May 2026

  8. 8

    AI-first platform for multi-channel notifications

    May 2026

  9. 9
    Bojagi71

    Designer driven interactive pull requests

    2021

  10. 10

    Local semantic search for AI agents

    30d ago · tryreference.com

  11. 11IM

    Frustrated by AI assistants that can only suggest actions but never take them, I built Merlio (https://merlio.app) - an AI that generates charts, searches the web, creates images, and analyzes YouTube videos directly within conversations. Built with React, it functions as an AI hub providing access to multiple models (Claude, GPT, Gemini) through a unified interface. The custom LLM orchestration layer enables the AI to execute tools with proper parameters and process results while maintaining conversation flow. Users are visualizing data, generating designs, and summarizing…

    2025 · merlio.app

  12. 12MA
  13. 13
    Moshi38

    the mobile interface for AI coding agents

    Jan 2026

  14. 14OS

    Hey HN! I'm Hussam, a Senior Algorithm Engineer at CodiumAI. We launched PR Agent a little over a year ago — it’s a free and open-source tool that helps with reviewing pull requests. The response has been great and more than 70 contributors have added to the project. Today, we're launching PR Agent as a browser extension. Key features: - AI Chat in PRs: You can ask questions about specific code changes and the context is passed to the AI model - Automated Code Reviews: The /review command does an automated review, focusing on potential bugs, security issues, and best practice violations…

    2024

  15. 15IB

    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

  16. 16GC

    Hello HN, we're Andrew and Stephen from Keyboard (https://www.keyboard.dev/). After building AI tools for the past year, we recently made a YouTube video on building MCP servers and realized MCP is a total game-changer. It essentially lets AI do anything by connecting to your apps. But the deeper we dove, the clearer it became that security and privacy were complete afterthoughts. Coming from backgrounds at Okta and Stripe, this made us pretty uncomfortable. We kept seeing the same pattern: every app needs its own MCP server, each storing sensitive tokens, with minimal…

    2025 · github.com

  17. 17WA

    Hey folks, For the past month I've been working on a visual AI orchestartor tool that allows users to create a pipeline similar to SDLC. Basically you fire up Wazear, create a project and add your brief. You select the agents (each agent serves a role such as planner, architect, etc...) and set which agent reviews which other agent's work and let it do the work. At any point you can pause the pipeline to review output yourself. You can check it out here: https://wazear.space. Any feedback is welcome. Thank you very much. Best Regards.

    Apr 2026

  18. 18LO

    Hi HN, Martin, Nils, and Jannes here. We are building Legit, an open source version control and collaboration layer for AI agents and AI native applications. You can find the repo here https://github.com/Legit-Control/monorepo and the website here https://legitcontrol.com Over the last years, we worked on multiple developer tools and AI driven products. As soon as we started letting agents modify real files and business critical data, one problem kept showing up. We could not reliably answer what changed, why it changed, or how to safely undo it. Today, most AI…

    Jan 2026

  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. 20

    Check if AI search can actually read and cite your site

    19d ago · seo.codequest.work

  21. 21KY

    Hey HN! I wanted to practice "vibe coding" and see how far and fast I can go by only prompting, without actual coding. I decided to make a simple CLI app that scrapes web docs into a single md file (I was annoyed that LLM keeps writing Tailwind 3 code for a Tailwind 4 project). In just a couple of hours, the CLI app was ready! Then iterated on arguments for another couple of hours. Result: https://github.com/vladstudio/web2llm Then I decided to go further and "productize" the CLI by making a web app for it. Another half-day, and the web app is ready!…

    2025 · web2llm.dev

  22. 22SR

    Hello all, I'm a software developer. Over the last few months more and more of my work has turned into using coding agents instead of typing the whole code myself. Usually a few claude sessions at once, sometimes codex, one per feature or per revealed bug. I ran them in a split terminal for a few weeks, and quickly spotted two main problems. The first is that I couldn't easily tell which agent was stuck waiting on me and which was still working, so I'd cycle through sessions and checking on them. The second one: agents sharing a single branch step on each other. Two of them could be editing…

    Jul 2026 · shikigami.dev

  23. 23AA

    Akuri is the fastest way to bring AI to your product. Provide your users with content generation AI on any text box in your product. Allow your users to get through adding long-form content quickly.

    2024 · akuri.ai

  24. 24WA

    Today you can easily adopt AI coding tools because you have git for branching and rolling back if AI writes bad code. We haven't seen this same capability for data and decided to build it ourselves. Nile is a new kind of data lake, purpose built for using with AI. It can act as your data engineer or data analyst creating new tables and rolling back bad changes in seconds. We support real versions for data, schema, and ETL. We'd love your feedback on any part of what we are building - https://getnile.ai/ What do you think?

    Jan 2026

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