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Products that do what 00felix by Alchemain does

verified upgrades across your codebase

  1. 1
    Second V2723

    AI powered codebase maintenance

    2024 · second.dev

  2. 2
    DepsHub360

    Update dependencies using AI

    2024

  3. 3

    Ship more code with confidence

    12d ago · tryalchemize.com

  4. 4
    Second374

    Automated codebase migrations and upgrades using AI

    2023

  5. 5CA

    Hey Hacker News! Launching gptengineer.app into beta today. It's like Claude Artifacts, but: - you can edit the code in your fav IDE (two-way github sync) - installs npm packages - automatically picks up build and runtime errors and fixes them - very fast, built with rust The full stack capabilities are built on supabase (prefer to not have to handle auth + user data at this point so this is owned by the user) The seed for this project was an open source experiment, posted about that previously here: https://news.ycombinator.com/item?id=36422730 Would love feedback if you give…

    2024 · gptengineer.app

  6. 6

    Unify design, product & dev into a single AI native workflow

    Dec 2025

  7. 7FO
  8. 8

    Validate agent-generated code before it ever reaches CI

    May 2026 · circleci.com

  9. 9

    Give your agent tools to create beautiful, codebase-aware UI

    Apr 2026 · aidesigner.ai

  10. 10IB

    Hi HN, I built a tool [1] that resolves breaking changes when you upgrade npm packages. I know keeping my dependencies updated is good hygiene but I really have no motivations to do them. The time to fix breaking changes then validate them makes the ROI lopsided. Automating these helps me reduce the barrier to a good habit. It works on typescript and tsx projects. BYOK (bring your own GPT-4 key) for the codegen. MIT license. How does it work? - Bumps the package version, builds your project, and then runs tsc over your project to understand what breaks - Uses ts-morph [2] to create an AST of…

    2024 · github.com

  11. 11
    Hapax85

    Watches your workflows. Builds your Agents. Automatically.

    Apr 2026 · askhapax.ai

  12. 12CS

    We now write most of our code with agents. For a while, PRs piled up, causing review fatigue, and we had this sinking feeling that standards were slipping. Consistency is tough at this volume. I’m sharing the solution we found, which has become our main product. Continue (https://docs.continue.dev) runs AI checks on every PR. Each check is a source-controlled markdown file in `.continue/checks/` that shows up as a GitHub status check. They run as full agents, not just reading the diff, but able to read/write files, run bash commands, and use a browser. If it finds…

    Feb 2026 · docs.continue.dev

  13. 13

    AI-powered dependency upgrades with auto-rollback

    Feb 2026

  14. 14X2

    I finally got tired of XKCD #2347 living rent-free in my head, so I built Stacktower: a tool that takes any real package’s dependency graph and turns it into an actual tower of bricks. Along the way I had to wrestle some surprisingly spicy problems. Full blog post here: https://stacktower.io The result is half visualization tool, half love letter to the chaos of modern dependency trees. Open-source, works with PyPI, Cargo, npm, and more. Code: https://github.com/matzehuels/stacktower

    Dec 2025 · stacktower.io

  15. 15
    Penqwin25

    Engineering knowledge that evolves with your codebase

    Jun 2026 · penqwin.com

  16. 16CL

    Hi HN! I left AWS a few months ago and created CodinIT, a local, open-source AI app builder made with remix + Electron. The motivation: I tried one of the popular cloud-based AI app builders, but when I pulled down the app to run locally, it just didn’t work especially with the monthly costs needed to build something half decent without being limited. So I created CodinIT, an app builder that runs fully on your computer, making it easy to switch between CodinIT and coding tools like Cursor or Claude Code. Source code: https://github.com/codinit-dev/codinit-dev Download…

    Dec 2025 · github.com

  17. 17IM

    Hi HN, I built Hypermod to help developers automate large-scale code migrations. If you've ever had to upgrade dependencies, refactor thousands of files, or apply the same fix across multiple repos, you know how painful and time-consuming it can be. Hypermod makes this process faster and more reliable by combining static analysis, AI-powered codemods, and GitHub automation. Why I Built This I've spent years working with large codebases where upgrading dependencies or migrating frameworks was a nightmare—lots of manual work, brittle scripts, and coordination across teams. Existing tools like…

    2025 · hypermod.io

  18. 18FA

    Hi HN, for the past few months, we’ve been working on Ferrix AI (https://ferrix.ai/) As AI agents speed up engineering, deciding what to build has become the bottleneck. Developers got faster because agents fit into their workflow: tech design, code review, testing. They still make the key decisions, while AI handles mechanical work around them. At Ferrix, we are automating workflow for product managers to make product decisions efficiently. Agents handle the research synthesis, spec writing, and progress tracking, while PMs, designers, and engineers collaborate in a shared…

    Jun 2026 · ferrix.ai

  19. 19BU

    Hey HN, we are building bumpgen (https://github.com/xeol-io/bumpgen/) to remove the toil of fixing breaking changes during version bumps. bumpgen bumps your npm package version then generates the fixes to potential breaking changes. There were some interesting challenges we encountered using an LLM to fix breaking changes: [1] Finding the breaking changes → know how is a dependency used through the codebase [2] Knowing how to fix the a breaking change → know how the dependency has changed from one version to another [3] Understanding how the fix has modified existing…

    2024 · github.com

  20. 20

    Is your AI-built website actually ready to launch?

    Jul 2026 · scanvify.com

  21. 21AC
  22. 22MK
  23. 23

    Build what you meant. Plan, design, and code as one.

    May 2026 · omniflowai.com

  24. 24IB

    For the last 6 months, I've been building ORUS Builder, an open-source AI code generator. My goal was to fix the biggest issue I have with tools like v0, Lovable, etc. – they generate broken, non-compiling code that needs hours of debugging. ORUS Builder is different. It uses a "Compiler-Integrity Generation" (CIG) protocol, a set of cognitive validation steps that run before the code is generated. The result is a 99.9% first-time compilation success rate in my tests. The workflow is simple: 1.Describe an app in a single prompt. 2.It generates a full-stack application…

    Nov 2025

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