Alternatives
Products that do what AI Rules Manager – Package manager for AI coding assistant rules does
I built ARM (AI Rules Manager) to solve a problem that's been bugging me: managing AI rules across projects is broken. If you use Cursor, GitHub Copilot, or Amazon Q, you know how powerful custom rules can be for guiding AI behavior. But right now, everyone just copies `.cursorrules` files around manually. Once copied, they're orphaned – no updates, no version control, no way to know if changes will break your AI's behavior. ARM treats AI rules like npm packages. You can: - Install versioned rulesets: arm install awesome-cursorrules/python - Connect to Git registries like…
- 1
- 2

- 3CA
While Cursor has already revolutionized coding, you can still configure it to perform even better based on your language and framework. That's why we created Cursor Directory, a collection of the best cursor rules for your framework and language from the community. It's fully open source and you can contribute to it by submitting your own rules. Just copy and add a .cursorrules file to your project root! Let me know what you think!
2024 · cursor.directory
- 4

- 5RA
2025 · github.com
- 6

- 7AP
2023 · openpm.ai
- 8

- 9GF
hi guys. been working on something i think is fundamentally missing in today's workflow with ai agents. vcs. i find myself struggling with questions that agents can't answer like "why did you do it?", "when did u delete this folder? why?", etc. or trying to /rewind (after a /compact...) or basically `bisect` to find when and why something was done by the agent in the current / previous session. just like git did for code, i think we are the same core capabilities with ai agents so... i developed an open source solution for that (currently supporting claude code) would love to…
May 2026 · github.com
- 10

- 11PM
I built a lightweight project management workflow to keep AI-driven development organized. The problem was that context kept disappearing between tasks. With multiple Claude agents running in parallel, I’d lose track of specs, dependencies, and history. External PM tools didn’t help because syncing them with repos always created friction. The solution was to treat GitHub Issues as the database. The "system" is ~50 bash scripts and markdown configs that: - Brainstorm with you to create a markdown PRD, spins up an epic, and decomposes it into tasks and syncs them with GitHub issues - Track…
2025 · github.com
- 12

- 13

- 14

- 15

- 16

- 17AA
Hey HN! My name is Christian, and I’m the co-founder of https://frigade.ai. We’ve built an AI agent that automatically learns how to use any web-based product, and in turn guides users directly in the UI, automatically generates documentation, and even takes actions on a user’s behalf. Think of it as Clippy from the old MS Office. But on steroids. And actually helpful. You can see the agent and tool-calling SDK in action here: https://www.youtube.com/watch?v=UPe0t3A1Vpg How is this different from other AI customer support products? Most AI "copilots" are really just…
2025 · frigade.ai
- 18BA
Vibe coded app that enables developers to quickly create so called "rules for AI" used by tools such as GitHub Copilot, Cursor and Windsurf, through an interactive, visual interface.
2025 · ai-rules-builder.pages.dev
- 19

- 20FL
Hi HN! We just launched Codacy Guardrails, an IDE extension with a CLI for code analysis and MCP server that enforces security & quality rules on AI-generated code in real-time. It hooks into AI coding assistants (like VS Code Agent Mode, Cursor, Windsurf), silently scanning and fixing AI-suggested code that has vulnerabilities or violates your coding standards, while the code it’s being generated. We built this because coding agents can be a double-edged sword. They do boost productivity, but can easily introduce insecure or non-compliant code. One recent research team at NYU found that 40%…
2025
- 21AA
Hi I am Aditi and I co-founded Potpie AI with my college mate Dhiren. We are building an open-source infrastructure to create custom agents for engineering use-cases like debugging, system design, integration testing, PR review etc. The agents are powered by a knowledge graph built on your code base to provide better context and memory, leading to better planning and execution. Currently we offer 6 ready-to-use agents but you can also build your custom agents. You can tune agent parameters like purpose, goals, background etc. and they are also empowered by pre-built tooling like code…
2024 · github.com
- 22

- 23

Your AI has your code's text, never its map. Fix that.
Jun 2026 · luuuc.github.io
- 24

Ranked by how close each launch is in meaning, then by votes. Refine with a description →