惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

月光博客
月光博客
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
阮一峰的网络日志
阮一峰的网络日志
罗磊的独立博客
T
Tailwind CSS Blog
博客园_首页
博客园 - 司徒正美
Google DeepMind News
Google DeepMind News
Hugging Face - Blog
Hugging Face - Blog
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
V
V2EX
J
Java Code Geeks
量子位
D
DataBreaches.Net
MongoDB | Blog
MongoDB | Blog
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
Microsoft Azure Blog
Microsoft Azure Blog
P
Proofpoint News Feed
C
Check Point Blog
V
Visual Studio Blog
H
Help Net Security
Recent Announcements
Recent Announcements
Engineering at Meta
Engineering at Meta

Hacker News: Show HN

PurrrrrFocus: Pomodoro Timer App - App Store Workflow Engine — Multi-Step Orchestration for Bun RapidPhoto: Pro Photo Editor App - App Store GitHub - DheerG/swarms: Achieve extraordinary results with claude code across a variety of tasks SPICE simulation → oscilloscope → verification with Claude Code — Lucas Gerads Show HN: VCoding – A 5 MB native Windows IDE with no dynamic dependencies Show HN: LLMs don't hallucinate because they're bad at math, it's the format GitHub - Agent-FM/agentfm-core: AgentFM is a peer-to-peer network that turns everyday computers into a decentralized AI supercomputer. AgentFM lets you run massive AI workloads directly across a global mesh of idle CPUs and GPUs. Show HN: Tracking Top US Science Olympiad Alumni over Last 25 Years GitHub - Potarix/agent-hub: One place to talk to all your agents Show HN: Runtime security for AI agents(injection,tool abuse, data exfiltration) GitHub - dubeyKartikay/lazyspotify: Terminal Spotify client for macOS and Linux GitHub - the-banana-tool/king-louie: Easy to use GUI Personal AI Assistant. Win/Linux/Mac. Show HN I made my vacation rental bookable by AI agents–no Airbnb, 0% commission GitHub - basteez/jsf-autoreload: maven plugin to enable hot reload on jsf projects uvm32/hosts/host-gdbstub at main · ringtailsoftware/uvm32 GitHub - labsai/EDDI: Config-driven engine that turns JSON into production-grade AI agents. Multi-agent orchestration, 12+ LLM providers, MCP/A2A protocols, RAG, persistent memory, and enterprise compliance (EU AI Act, GDPR, HIPAA). Built on Quarkus. GitHub - glitchnsec/fortyone-oss: AI Executive Assistant Platform Quickstart | Alien GitHub - muxshed/shed: One stream in, or many. Every destination, simultaneously. No cloud middleman, no per-channel fees, no limits. GitHub - ocrbase-hq/ocrbase: 📄 PDF/IMG ->.MD/JSON Document OCR API for PaddleOCR and GLMOCR. Self-hostable. GitHub - impactjo/home-memory: MCP server that lets your AI assistant remember everything about your home. GitHub - Sets88/dbcls: DbCls is a powerful terminal database client that supports various databases GitHub - neptun2000/heor-agent-mcp GitHub - SeanFDZ/macmind: Single-layer transformer in HyperTalk for the classic Macintosh RollQuation: Math Puzzles - Apps on Google Play GitHub - dropbox/witchcraft Show HN: Agent-cache – Multi-tier LLM/tool/session caching for Valkey and Redis GitHub - opentalon/opentalon: OpenTalon is an open-source platform built from the ground up in Go as a robust alternative to OpenClaw LinkedIn™ 职位抓取工具 - Chrome 应用商店
GitHub - RobustaRush/seedkit: Cook a Django project well ...
kmmbvnr_ · 2026-05-13 · via Hacker News: Show HN

Robusta Seedkit 🌱

An agent skill to start new Django projects or extend existing ones.

/seedkit SaaS landing + waitlist, GDPR-friendly stack (mail, analytics, error reporting), VPS deploy
/seedkit add proper auth — magic link, lockout on brute force, optional 2FA
/seedkit look at our repo and tell us what's worth adding next

View Outputs

Helps you with: Python deps & venvs, settings for dev vs prod, custom user model, social & password login, passwordless magic-link login, brute-force protection, background jobs, async views, WebSockets, Redis caching, S3 for static & media, outbound email, Tailwind without Node, GDPR-safe analytics, security headers, CSP headers, production error tracking, structured logs, N+1 query detection, safe migrations, linting & formatting, type checking, scheduled DB backups, Docker for local dev, auto-HTTPS reverse proxy, CI pipeline — and more.

Install

Claude Code (plugin)

/plugin marketplace add RobustaRush/seedkit
/plugin install seedkit@robusta

Other agents (Cursor, Codex, OpenCode, Gemini CLI, …)

Via the skills CLI — installs into whichever agent dirs it detects:

npx skills add RobustaRush/seedkit            # project scope
npx skills add RobustaRush/seedkit -g         # global (all your projects)
npx skills add RobustaRush/seedkit -a cursor  # pin to one agent

Then, in whatever empty directory you'd like to populate:

/seedkit

Two variants

Two skills ship in this repo.

/seedkit started from the actual package docs — the reference files have exact package versions, config snippets, and known pitfalls.

/seedkit-slim relies only on what the model already knows — no reference files.

Both go through the same test cycle: generate code, boot it, check it. Failures get fixed in the skill text.

What's in the skill

The skill targets the problems that show up in LLM-generated Django code that doesn't run out of the box: stale package versions, outdated patterns, wrong async defaults, missing production wiring. The testcase loop's job is to find those failures and fix them in the instructions, so the next generation doesn't repeat them.

It also saves you the prompt-writing: the instructions that would otherwise need a paragraph per project are baked in.

What you get

  • Ready-to-run Django project.
  • Pick your stack — real alternatives at every step.
  • Smart additions: /seedkit add [feature] safely appends code without overwriting.
  • No unused boilerplate.
  • Sane defaults out of the box.

Project Status

This is a fresh project under active development. While the skill is verified against the nine core scenarios in seedkit-examples, we are still mapping out how the agent behaves outside that set.

The testcase harness currently runs only against Claude Sonnet. Other models (Opus, Haiku, GPT, Gemini) are not yet covered — they may work, but skill quality on those models is not verified.

Production deployment scenarios (VPS, Fly, GitHub-SSH) still need verification — they are wired up in the skill but not yet exercised end-to-end against real targets.

If you run into issues, strange behavior, or have ideas for new integrations, please open an issue. Feedback is welcome.

Contributing

  • The most valuable contribution right now: run the testcase harness against other models (Opus, Haiku, GPT, Gemini) and send the logs back. The skill is only verified on Claude Sonnet today, so cross-model coverage is what the project needs most. Point run-tests.sh at the model you want to exercise and open an issue with the resulting workspace/logs/ output attached.
  • For proposing changes, please open an issue first. Discuss proposed changes — even one-liners — before submitting a pull request to avoid wasted effort.
  • Expect long test cycles. Validating agent behavior requires multiple test-review-fix iterations. Each cycle runs all nine end-to-end test cases and takes 1.5–2 hours.

License

MIT — © 2026 Mikhail Podgurskiy.



$ Sorry, you're right. I probably shouldn't have deleted the production database.
   Want me to at least write the restore script?