
Engineer Profiles - A community of software engineers
创建工程师档案,让AI生成你的专业简介。
skellertor · HN
Show HN - Online developer profiles with embedded AI hypeman
完整作品展
技术栈
25 projects

创建工程师档案,让AI生成你的专业简介。
skellertor · HN
Show HN - Online developer profiles with embedded AI hypeman

输入 GitHub 用户名生成你的开发者 DNA 报告。
@panditdhamdhere · X
Your GitHub profile, sequenced. Vibe-coded DevDNA for fun Turns any public GitHub user into a fun, shareable Developer Genome report - power level, languages, chaos, coffee estimate, the works. No auth . Just a username. Use it -

用Pyor原生应用审查GitHub的PR,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.

从简历和GitHub生成开发者作品集。
u/WhatTheCode04 · Reddit
Turn your CV + GitHub into a developer portfolio in 30 seconds (macOS/Bento themes and more). Free PRO lifetime access for the first 50 users! macOS theme at the end of the video! Hey everyone, A few months back, I was applying for roles and got rejected from a couple of interviews because my personal portfolio was completely out of date. Honestly, I just hated the chore of manually importing my GitHub repos, copy and pasting descriptions from my resume, and redesigning my

跨14个维度分析Python代码,检测违规并提供详细报告。
@KSFirasa · X
Hello! I built a tool that profiles code (python only atm) across 14 dimensions detecting violations and capabilities outputting a full report. A bit more nuanced than "AI-powered insights". Free while in beta. Thank you!

在仪表板中发现热门开源项目,追踪您的PR和问题。
@manixh · X

将GitHub工作转化为X、LinkedIn和Facebook的营销帖子。
@JessePeplinski · X
👋 I’m building live on Twitch using Codex & Claude. Pop in any time. Let’s connect!

在 GitHub 上发现趋势 AI/ML 仓库,包含实时警报和提交热力图。
@g_saikumar_ · X
Real-time GitHub intelligence for developers, founders, and open-source enthusiasts.

自动将你的GitHub提交作为卡片每日发布到X。
@manoj_surya_ · X
I just launched 🚀 A Proof of Ship, every day — straight from your GitHub. You already do the hard part: you commit. git-to-x turns that into a designed card and posts it to X every morning. Your timeline finally looks like what you actually are — someone who ships. → 8 card designs, rotating (terminal, heatmap, flame, ticker…) so it never gets stale → weekly + monthly milestone cards — your streak becomes a story worth following → tweet from your CLI / Cursor / Claude Code without leaving your editor → free for 10 days, full access See who else is shipping daily under #proofofship — and join them. It touches your repo, so safe-to-try came first: → open source (AGPL) — audit it or self-host → read-only — we never touch your code This is my first build-in-public tool. I built it for myself, and for anyone tired of switching between shipping and posting about shipping. First 100 get founding lifetime — a permanent number on every card. Try it, tell me

粘贴公开 GitHub 仓库,获取 A-F 安全等级评分。
u/DistinctPicture4660 · Reddit
I built a security scanner that checks every GitHub push and tells AI exactly how to fix the issues Hello, As a developer, I ship a lot of code with Claude Code, and I've used pretty much every security scanner out there. Most of them are great at telling you what's wrong. Then they leave you with a long report, and you're back to copying logs into Claude or Cursor, asking your AI to figure out how to fix everything. I wanted something that fit the way many of us build software today.

使用AI从GitHub提交自动生成发布说明。
@ReleasePilotHQ · X
Just shipped ReleasePilot. Connect GitHub → push code → release notes write themselves. No Actions. No config. Just push. Free for 1 repo & free trial → #buildinpublic #indiehacker #saas #github

扫描GitHub代码库查找安全漏洞,AI提供修复建议。
u/uwais_ish · Reddit
Three weeks to build an AI security scanner. The scanner was the easy part. Shipped RedFlag this month. Breakdown of where the time actually went, because it was nothing like I estimated. Stack: Next.js 16, Auth.js v5, MongoDB, Stripe, OpenAI. Deployed on Vercel. What I thought would be hard: getting an LLM to find real vulnerabilities. What was actually hard: getting it to stop finding fake ones. First working version flagged 200+ issues on a clean repo. Every one plausible, most of th