
Factory Nexus
AI agents generate and review code based on feature descriptions, delivering pull requests ready for GitHub.
kellan_strong · Product Hunt
Factory Nexus by TynHub Ai and swarm agents
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AI agents generate and review code based on feature descriptions, delivering pull requests ready for GitHub.
kellan_strong · Product Hunt
Factory Nexus by TynHub Ai and swarm agents

Two AI reviewers analyze your code independently and verify each other's bug findings.
@BotariaDotBot · X
This Tuesday I'm launching Botbugger on @ProductHunt 🚀 One AI reviewer gives you 10 "critical" bugs — half hallucinated. So I built two: Claude Code + Codex review your code independently, then cross-check each other. Real bugs with fixes, not noise.

Write and run code in your browser with AI code generation and auto-fix features.
@anish2good · X

Generate code documentation automatically on GitHub pull requests.
Aldasams · HN
Show HN: DocFlow – AI documentation updates for GitHub pull requests

An AI agent that analyzes code repositories and writes code autonomously in your browser.
@vlipadev · X

Collect Google reviews via QR codes and reply to them with AI assistance.
@SamiirHalady · X
Building ReviewMitra: Living Customer‑Centricity If you listen closely enough, your customers will write your product roadmap for you. When I built the goal was simple : help businesses get Google reviews without typing them out. That idea became reality. My first vibe‑coded app took time, but it worked. Then a friend asked, “Can we respond to reviews too?” That one question sparked the next feature : replying directly from the merchant login. Soon, I added sentiment analysis, a word cloud, and WhatsApp integration. Then came support for multi‑outlet brands, and now, a white‑label option for agencies. And here’s the part I’m most proud of - ReviewMitra now generates reviews in 39 languages, including 22 Indian languages and several European and Asian ones. Because trust shouldn’t be limited by language! Every new feature wasn’t planned, it was inspired. By feedback, by curiosity, by conversations. For years, I’ve told clients that the best approach is customer‑

Compare and evaluate AI models across coding, reasoning, agents, and other benchmarks.
davidtsong · HN
Benchmarklist: track AI benchmarks (2.4k+), models, and capabilities

Automatically review GitLab pull requests using AI models like DeepSeek and OpenAI.
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)

Auto-fix production bugs and get AI code reviews with severity ratings on every PR.
@akshay_nocode · X
Not exactly — Sentry captures errors, BugOps acts on them. It reads the Sentry alert, checks recent commits, traces root cause, and opens a fix PR. Think Sentry as the sensor, BugOps as the on-call engineer that never sleeps.

AI engineering workforce that plans, builds, tests, and ships code with human oversight.
@edgex11lz · X

Write and run code in an IDE with Claude, GPT, and Gemini models, then deploy to Vercel.
@bind_ai · X
We got tired of juggling model subscriptions and editors, so we built Bind AI One tab: Claude, GPT, Gemini, an IDE that runs the code and ships it to Vercel Heads down on the shortest path from idea to application #vibecoding

AI developer that writes code for your GitHub repositories.
vpetroff · HN
CobaltCode – Dedicated persistent computer for Codex