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Alternatives

Products that do what Facts does

The antidote to fluffy specs.

  1. 1

    Vibe Coding with a planning assistant to build with clarity

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    Vexilo86

    Claude Code planner w/ 31 agents, 92 commands, + 121 skills

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  6. 6RS

    I had a lot of issues with spec-driven approaches, agents are too readily producing fluff, large projects have so many specs agents start making mistakes maintaining them. There's a constant consistency tax. In the end every spec is just a bunch of facts, so I decided to leave that and throw away everything else while making it friendlier for agentic use. Introducing facts - skills and CLI for agents to use facts-driven development. https://github.com/av/facts

    May 2026 · github.com

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    Quality control for your software factory

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    Measure how much of your code is AI-generated. Open source.

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    Skilled76

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    Concipe80

    Turn customer feedback into specs for your coding agent

    Mar 2026

  11. 11CS

    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

  12. 12CD

    Hi HN! This is a little site I put together while learning the Elm language as part of a hackathon at my work, I thought you might enjoy it. Be sure to click the `(source)` buttons next to the graphs: you can edit them interactively & write your own queries against the entire data set. The syntax isn't well documented yet, but you can probably get the general idea pretty quickly based on the examples there. If you like it, have questions, etc. let me know! If folks think this is cool, maybe I can get it turned into a legit project. :)

    2022 · codestat.dev

  13. 13

    Stop your AI from building the wrong app

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  14. 14DT

    Hi HN, We are researchers from ETH Zurich interested in the real-world adoption and impact of Code Agents. To measure this, we built a dashboard, scraping all public PRs on GitHub, analyzing which are created by different code agents (Codex, Jules, Copilot, Devin, etc.), and measuring their merge rates, sliced by various repository and PR characteristics. https://insights.logicstar.ai Since mid-May, we've analyzed over 10 million PRs and already found some interesting trends: Usage is high, but shallow. Agents submit ~7% of all PRs overall, but only ~1–2% on popular repos. Most…

    2025 · github.com

  15. 15

    The UX pattern library your AI agent can actually read

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    Going to write one million lines of code in public

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  17. 17SA

    I built SpecMind, an open source developer tool for spec driven vibe coding. It keeps architecture and implementation aligned from the first commit instead of letting them drift apart. With AI assistants writing more of our code, projects move faster but architectural consistency is often lost. Each developer or AI can introduce new patterns, and after a few sprints, the structure becomes fragmented. SpecMind helps prevent that by generating and maintaining living architecture specs directly from your code. It works in three steps: 1. analyze – scans your codebase and generates…

    Nov 2025 · github.com

  18. 18

    789 skills & 10 autonomous agents for Claude Code

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    Find weak spots in your startup idea. Real data, not vibes.

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  20. 201D

    We just open-sourced the internal system we built at Assembled for running coding agents as a team. Coding agents worked well for individual engineers, but the surrounding workflow was a bit of a mess. We generally found that many engineers had different MCP connections and context for their agents, personal automations running that other people couldn’t access, and very little introspection for what a human’s input into the coding agent looked like. So we built an internal system that converted coding agents into shared team infrastructure. The system runs Codex, Claude Code, OpenCode, and…

    Jun 2026

  21. 21
    Fact018

    The universal fact layer for AI agents

    Jun 2026 · fact0.io

  22. 22

    Build source-backed knowledge bases with Claude Code, Codex, OpenCode, or any AI agent. Export Project Knowledge Checkpoints, apply personal specialist review methods, shape Ideas, and promote approved work into Projects.

    21d ago · llm-wiki.net

  23. 23VC

    As an experiment I let Claude Code write 100% of the code to begin a project management application. Total spent: $30 Time: 2hours I did this so showcase what Claude produces and to also get feedback on how well you think it did.

    2025 · github.com

  24. 24

    Get an automated Fullstack developer for your project!

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