@resetnak · X

- Github Repository statistics for opensource projects! Give it a try

Koimiao · V2EX

做了个小工具，可以从各个维度评估一个 GitHub 项目，想请大家拍砖 找开源项目时，我们常常会先看 Star 、README 和最近一次提交。如果你是独立开发者，正在维护自己的开源项目，也想知道怎么让自己项目更健康、被更多人看见，第一步该从哪里做起？ 所以最近我做了一个小项目：TrustOSS http://trustoss.org 输入一个 GitHub 仓库链接，TrustOSS 会把这些公开信号整理成一份可读的仓库健康报告：活跃度、维护情况、社区、文档与成熟度评分；也可以进一步查看漏洞、CI 、真实依赖者、维护者集中度和 Star 异常情况。 想要评估一个开源项目，或者维护自己的开源项目，想知道短板在哪里，都可以直接试试（是免费的！

vpetroff · HN

CobaltCode – Dedicated persistent computer for Codex

u/Comprehensive-Bad-43 · Reddit

I got tired of documentation that lies, so I made docs that have to prove every sentence Founder here! Every codebase I have ever joined had the same problem: the docs describe the code as it was six months ago. Nobody updates them, because updating docs is the least rewarding job in software. So I built RepoFold . You connect a GitHub repo and it generates a full wiki, but with one hard rule: every technical claim has to cite the exact file and line numbers it came from. If the AI can'

@hyraxai · X

@Jack_Timonen · X

@matthew_meadows · X

Correlation Studio - Discovery Mining • Causation Analysis A powerful new SaaS statistics application that brings the insights of correlation data science to everyone. Data science without the code.

@uriel_bitton · X

As you add more features to your vibe coded app, you increase the chances for bad behaviour. The worst part is you dont know they exist Every beta user i've had try out the app told me they found a few issues they had no idea existed Find yours using

@bashops_dev · X

Building BashOps Radar—repository intelligence for developers. Helping developers identify contribution opportunities that can lead to contracts, paid sprints, and long-term work.

ninomae · HN

Aimeterly – Per-user cost dashboards from Claude Code's built-in OTel

u/dumbfoundded · Reddit

Ito, AI Code Review that Runs Code I've been using AI code review tools but none of them actually run code so I built one: https://www.ito.ai/ The way it works is that it uses microVMs to spin up your environment with all of the services running. Then a bunch of AI agents go and test the application to collect runtime evidence. The result is you get test cases along with evidence about whether or not the test cases pass or fail. The runtime evidence can be videos, request/response curls, db

@otakuaakash · X