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

WordPress大学
WordPress大学
L
LangChain Blog
酷 壳 – CoolShell
酷 壳 – CoolShell
罗磊的独立博客
J
Java Code Geeks
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
博客园 - 叶小钗
小众软件
小众软件
博客园 - Franky
D
Docker
Google DeepMind News
Google DeepMind News
Microsoft Azure Blog
Microsoft Azure Blog
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
U
Unit 42
宝玉的分享
宝玉的分享
C
Check Point Blog
B
Blog
V
V2EX
博客园 - 三生石上(FineUI控件)
MyScale Blog
MyScale Blog
The Cloudflare Blog
博客园 - 聂微东
博客园_首页
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
Show HN: I Made a Claude Skill for Spec-Driven Developmen...
NTRIXLM · 2026-05-21 · via Hacker News: Show HN
Show HN: I Made a Claude Skill for Spec-Driven Development (SDD) (github.com/fredantb)
40 points by NTRIXLM 15 days ago | hide | past | favorite | 17 comments

At my work they provided a single Claude subscription for everyone on the team. To be honest I like kiro better as it provides a way better SDD management. But the company can't provide it and I can't afford it yet. Turns out I had the skill creator skill in my claude instance so I made use of it to create this Skill. I made it fully by using Claude but I wanted to make it open source, so I asked it to help me make tests and preparations for it, even a CI to run python tests.

Well, we got this results with it:

- Phase 2A: 67 static assertions (Python script, runs in CI)

- Phase 2B: 15 behavioral tests (live Claude Code session)

- Phase 2C: 53 generation quality checks across 3 end-to-end flows

All of these passed and the CI also passed (after a few tries).

I made it to suit my way of prompting and coding and based it off kiro's SDD management, but I want it to be publicly available and used by many people. According to claude some of the testers need to fit the following criteria:

1. Developer starting a real new project from scratch

2. Solo dev with an active side project (greenfield or partial codebase)

3. Team lead whose team uses multiple AI tools

4. Developer with an existing codebase and no written specs

5. Developer who actively uses 3+ AI coding tools

It's actually a blind test, no guiding, just try it if you can, I'd really appreciate your help.

The repo is here: https://github.com/FredAntB/Spec-Driven-Development



Guidelines | FAQ | Lists | API | Security | Legal | Apply to YC | Contact