
Hyrax | The independent review layer for AI coding
Hyrax 是一个 AI 驱动的代码审查智能体,分析提交、识别问题并生成合并就绪的拉取请求。
@hyraxai · X
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Hyrax 是一个 AI 驱动的代码审查智能体,分析提交、识别问题并生成合并就绪的拉取请求。
@hyraxai · X

Pullflow是AI代码审查工具,过滤干扰,只展示重要发现。
@polsia · X
You can ship a vibe-coded app by lunch. You can also ship a vibe-reviewed bug by Friday. Pullflow reads the PR nobody else bothered to open.

Reeno helps SaaS founders catch failures in Stripe, GitHub, OpenAI and other services before customers do, see what product features are affected, and verify recovery.
@bashirbuilds · X
Reeno — know when the services your SaaS depends on break before your customers tell you.

粘贴以太坊合约地址检测诈骗和拉盘骗局。
@mik3fly__ · X
Here is mine: Check for scam before being scammed!

使用 DeepSeek 和 OpenAI 等 AI 模型自动审查 GitLab 代码。
AI Codereview for Gitlab — 基于大模型(DeepSeek,OpenAI等)的 GitLab 自动代码审查工具;支持钉钉/企业微信/飞书推送消息和生成日报;支持Docker部署;可视化 Dashboard - [查看仓库](https://github.com/sunmh207/AI-Codereview-Gitlab)

连接Stripe账户自动恢复订阅业务的失败支付收入损失。
@ardent__dev · X
Recover lost revenue before it turns into Churn

读取 GitHub 仓库并自动提议改动、创建拉取请求的 AI 代理。
@MetriQAI · X
— Stop re-explaining yourself to every AI. One workspace. Every AI. Shared memory.

分析拉取请求以理解变更,区分重要改动与琐碎修改,识别潜在回归。
logphase · HN
I've always struggled to hold a large PR in my head. AI-assisted coding has made it worse. Especially when dozens of files are modified, it became harder to understand what changed: distinguishing important changes from trivial ones and identifying if regressions were introduced. I was also tired of switching between file and method to build the whole picture in my head — I wanted all the context at the point of the function I was reviewing. I guess I'm just more of a visual person. I realized t

观看AI在任务中失去对撤销记忆的访问权限。
coleaalkire · HN
Pupul, portable and revocable memory you carry into any AI

@lightsilver323 https://t.co/Gc6MNoDSgy
@GorewadaGroup · X

在原生应用中审查 GitHub 代码请求,无需打开 github.com。
othmanosx · HN
I still don't like the fact that AI is adding more stuff for us to read, it's accelerating the code production but slowing down the code review. I built my own code reviewer as well ( https://pyor.review/ ), surfacing the important stuff first is the right track, but adding more stuff to read is daunting, but asking AI to just point you to what you need to focus on and skim the noise is what I'm leaning more towards.

Patchlight reviews every pull request and commit and runs scheduled security scans on your repositories. GitHub-native, provider-agnostic, pay-as-you-go.
@patchlight_dev · X