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

Recent Announcements
Recent Announcements
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
O
OpenAI News
D
Docker
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
N
Netflix TechBlog - Medium
人人都是产品经理
人人都是产品经理
Y
Y Combinator Blog
M
MIT News - Artificial intelligence
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
博客园 - 司徒正美
C
CXSECURITY Database RSS Feed - CXSecurity.com
阮一峰的网络日志
阮一峰的网络日志
K
Kaspersky official blog
Security Latest
Security Latest
T
Tailwind CSS Blog
cs.AI updates on arXiv.org
cs.AI updates on arXiv.org
V
Vulnerabilities – Threatpost
W
WeLiveSecurity
N
News and Events Feed by Topic
aimingoo的专栏
aimingoo的专栏
美团技术团队
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
Google DeepMind News
Google DeepMind News
CTFtime.org: upcoming CTF events
CTFtime.org: upcoming CTF events
C
Cyber Attacks, Cyber Crime and Cyber Security
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
B
Blog
T
The Blog of Author Tim Ferriss
Google DeepMind News
Google DeepMind News
Help Net Security
Help Net Security
爱范儿
爱范儿
宝玉的分享
宝玉的分享
腾讯CDC
H
Heimdal Security Blog
Webroot Blog
Webroot Blog
AI
AI
WordPress大学
WordPress大学
Recorded Future
Recorded Future
SecWiki News
SecWiki News
cs.CV updates on arXiv.org
cs.CV updates on arXiv.org
Security Archives - TechRepublic
Security Archives - TechRepublic
Google Online Security Blog
Google Online Security Blog
C
Check Point Blog
TaoSecurity Blog
TaoSecurity Blog
Cisco Talos Blog
Cisco Talos Blog
The Cloudflare Blog
www.infosecurity-magazine.com
www.infosecurity-magazine.com
博客园 - Franky
云风的 BLOG
云风的 BLOG

Show HN

CSP Radar GitHub - awebai/aweb-team-coord-worktrees: An aweb team template for a minimum team with a permanent coordinator and worktrees with local developers. GitHub - fujibee/agmsg GitHub - lucastononro/notify: 100% local, free, offline attention skill for Claude Code: plays a sound and speaks a short status update when a long task finishes, blocks, or needs a decision. GitHub - sebastianwessel/skills: AI Skills tivatdoar / workout-to-work · GitLab Release v1.0.0-alpha7 · pantoniou/libfyaml GitHub - enumura1/py-sql-cleaner: Find, format, and safely extract embedded SQL from Python files. GitHub - intent-bench/intent-bench: Intent fulfillment benchmark for agentic AI engineering GitHub - steveking-gh/firmion: Firmion is DSL and engine for firmware image generation. GitHub - villagesql/villagesql-skills: Agent skills for VillageSQL - gemini-cli-extension; claude-code-plugin GitHub - 0gsd/enough: a personal language system for planning, writing, and translation. GitHub - Kaelio/ktx: ktx is an executable context layer for data and analytics agents 🐙 Allow Claude Code, Codex, and any AI agent to query data accurately through MCP with skills, memory and a semantic layer GitHub - ThatXliner/xtras: Xliner's Claude Code Skills GitHub - flightdeckhq/flightdeck: Observability and control plane for AI agents. GitHub - search-router/simple-search: Open-source reference app on top of the Search Router API: FastAPI + Jinja metasearch service with pluggable backends, deterministic mocks (no API key needed), RTL UI, Redis cache, and a demo ads cabinet. CSP Radar GitHub - Light-Heart-Labs/DreamServer: Turn your PC, Mac, or Linux box into an AI server. LLM inference, chat UI, voice, agents, workflows, RAG, and image generation. GitHub - Diplomat-ai/diplomat-agent-ts: What can your TypeScript AI agent do to the real world? Scan your code. See which tool calls have zero checks Code Block Selector - Visual Studio Marketplace Prometheus dependency graph — interactive showcase | Riftmap Show HN: I made a vi-like modal keyboard plugin for Figma GitHub - run-llama/liteparse: A fast, helpful, and open-source document parser GitHub - dalemyers/Roar: A macOS CLI tool for notifications GitHub - district-solutions/open-agent-tools-coder: Enables small-to-large self-hosted ai models to use local source code when running tool-calling agentic workloads. We actively data mine 20,900+ (2+ TB) popular github repos using large and small ai models to create reuseable: json, markdown and parquet files for local-first tool-calling models. GitHub - progapandist/stripeek: A local TUI proxy for real-time Stripe API debugging, built for navigating complex payloads fast. GitHub - sir1st/hermes-desktop: All-in-one cross-platform desktop app for Hermes Agent — bundles Python + hermes-agent + hermes-web-ui GitHub - astefanutti/shaderbang: Shebang for Shaders Show HN: Generate Claude Code Workflows using Spec Driven Development approach GitHub - nixys/nxs-universal-chart: The Helm chart you can use to install any of your applications into Kubernetes/OpenShift Show HN: AI agents for UK GDAD PCF roles and their skills The Two Pillars: Mixer Mode and Meta-Software in the Reorganization of Software Work After AI GitHub - JaiCode08/teleport-env What 1,000+ Harness Experiments Taught Me About Self-Improving Agents Show HN: Liiists, a Markdown-first, iOS and CLI list app SwiperTab – Get this Extension for 🦊 Firefox (en-US) GitHub - kouhxp/fftext: Summarize, explain, fact-check, or translate any text, URL, or file. No GPU. No cloud. One command GitHub - sweetpad-dev/sweetpad: Develop Swift/iOS projects using VSCode GitHub - dogmaticdev/IRON: IRON a.k.a. Intermediate Representation Object Notation is a Interpreter/Database that is used to create Programming Languages. GitHub - sjhalani7/vaen: Package your AI coding harness into a portable .agent file, and share it across repos, teams, & the community without ever having to copy-paste instructions, skills, MCP config, or secrets. Show HN: Gandalf the Grader Show HN: Citadeld – replay any CI failure locally from a single file GitHub - tdortman/cuSBF: High-Performance GPU Super Bloom Filter coral-ai/claude-code-token-xray at main · Coral-Bricks-AI/coral-ai GitHub - ulyssestenn/funes: Funes is a Git-based framework for LLM-managed knowledge work: an AI Librarian ingests raw sources, builds an interlinked Markdown knowledge base, and uses it to produce cited reports, analyses, and other outputs. GitHub - ThatXliner/gah: Git Add Hunk, built for agents to use GitHub - harmont-dev/harmont-cli: Command-line client for the Harmont CI platform GitHub - brooksmcmillin/mcp-authflow: OAuth 2.0 Authorization Server framework for MCP servers GitHub - javaid-codes/audit-supply-chain-agents GitHub - amorey/gochan: A small library of common channel architectures for Go, inspired by Rust GitHub - arifozgun/OpenGem: Free, Open-Source AI API Gateway with Gemini, OpenAI & Anthropic Compatibility in 1 file GitHub - Pranesh950/BioPetals: 🌸 Run BIOxAI models at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading GitHub - cnguyen14/bounty-doctor: Diagnose a GitHub bounty issue before you waste hours: detects honeypot scam repos, AI-bot attempt swarms, and stale contests. Show HN: CoreMCP – MCP Server for On-Prem DBs Show HN: KittyHTML – Render HTML/CSS as an inline image in your terminal GitHub - bingud/filemat: Web-based file manager Show HN: TruthLens – Free multi-signal deepfake image detector GitHub - apexlocal-jz/claude-usage-tray: Windows system-tray app showing your Claude Code rate-limit usage at a glance. Zero deps, ~300 lines of PowerShell. Cross-IDE (works regardless of VS Code, Cursor, plain terminal). Release v0.1.2.1 · kouhxp/yapsnap GitHub - noopolis/moltnet: Self-hostable chat network for AI agents. Pre-built bridges for Claude Code, Codex, and the Claws. Rooms, DMs, history. No Slack bots, no Matrix, no glue code. GitHub - tamerh/enju: Coordinating Humans, AI Agents, and Compute as Peers on a Shared Workflow Graph Show HN: Continuity-auth – Respect-weighted rate limits for the open web GitHub - luml-ai/luml: AI lifecycle platform where engineers and agents track experiments, train models, and ship to production. GitHub - mrdanielcasper/CoreTex: A UNIX-inspired, biomimetic, flat-file AI harness and knowledge engine. GitHub - clemg/pierre-github: Pierre's diffs.com and trees.software for Github GitHub - lyriks-io/unspaghettit: Behavior-driven AI development without prompt spaghetti. GitHub - sofumel/claude-handoff-revive: Resume Claude Code work after rate/usage/context limits without replaying the prior transcript. Auto-saves at 90%/95% usage. Plugin-installable, 10 languages. GitHub - dotexorg/saferpc: Typed, end-to-end encrypted RPC over any bidirectional channel. GitHub - BeeZeeAgent/beezee: Agent harness orchestration Legato Next.js Boilerplate for Internal Tools · CoreUI GitHub - clark-labs-inc/clark-hash: Clark Hash, 32x smaller searchable sketches for embeddings GitHub - ZeroPointRepo/youtube-mcp: The fastest YouTube transcript + YouTube search MCP for AI agents. Try for free. Typing Mastery — climb toward 100+ WPM, deliberately GitHub - Andebugulin/Awareen GitHub - fayzan123/claude-workflow-composer: Visual desktop app for composing multi-agent coding workflows. Drag agents, attach skills and MCPs, wire handoffs, export to .claude/ GitHub - StackOneHQ/stack-nudge We hardened an LLM agent. Each defense we added made it more exploitable. GitHub - alkait/WhatsKept: Agent-queryable WhatsApp history from an iOS backup — a single Go binary. GitHub - octelium/cordium: Open-source, general-purpose sandbox platform for devs and AI agents that provides identity-based secure access to infrastructure without credentials. GitHub - scosman/videowright: Build animated explainer videos with your coding agent GitHub - dipankar/dscode: The code editor you can take apart. GitHub - zoharbabin/web-researcher-mcp: MCP server (Go) for AI assistants: web search, content extraction, academic/patent/news research. Multi-provider routing, 4-tier scraping, search lenses. Works with Claude, Cursor, and any MCP client. GitHub - scanaislop/aislop: Catch the slop AI coding agents leave in your code: narrative comments, swallowed exceptions, as-any casts, dead code, oversized functions. 50+ rules across 7 languages (TypeScript, JavaScript, Python, Go, Rust, Ruby, PHP). Sub-second, deterministic, no LLM at runtime. MIT-licensed. GitHub - kouhxp/cheap-im: CPU-only voice agent approximating Thinking Machines' Interaction Models demo GitHub - unprovable/OrchidMantis: Orchid Mantis — standalone framework for Zero-Knowledge Proofs of eXploit (ZKPoX). GitHub - CarpseDeam/Aura-IDE: An AI coding harness that shaped itself - Planner/Worker agents, repo awareness, surgical edits, validation, recovery, and safe diff approvals. GitHub - chojs23/concord: A feature-rich TUI client for Discord GitHub - aerf-spec/aerf: Agent Evidence Receipt Format (AERF) — an open specification for tamper-evident, independently verifiable records of AI agent actions. GitHub - Jwrede/tokentoll: Catch LLM cost changes in code review. Infracost for LLM spend. GitHub - samchon/ttsc: A `typescript-go` toolchain for compiler-powered plugins and type-safe execution + 500x faster lint integrated into compiler GitHub - Higangssh/homebutler: 🏠 Manage your homelab from chat. Single binary, zero dependencies. GitHub - olalie/tapmap: See where your computer connects and what stands out on a live world map. GitHub - Diplomat-ai/diplomat-agent: What can your AI agent do to the real world? Scan your code. See which tool calls have zero checks GitHub - Bajusz15/beacon: Open-source agent for secure remote access, monitoring, and deploys across home-lab and self-hosted machines like Raspberry Pi, N100, or any Linux server. Open web based TTY or tunnel Home Assistant and other local services securely without opening ports. BigTech AI News - Chrome 应用商店 GitHub - vinhnx/VTCode: VT Code is an open-source coding agent with LLM-native code understanding and robust shell safety. Supports multiple LLM providers with automatic failover and efficient context management. GitHub - Lumen-Labs/brainapi2: BrainAPI is a knowledge graph–powered AI memory layer that transforms unstructured data into structured knowledge, enabling intelligent search, recommendations, and contextual memory for AI agents and applications. GitHub - familiar-software/familiar: Let AI watch you work. Familiar lets your AI update its memory, skills, and knowledge by watching your screen. make sidebar/address bar rounded corner toggleable
GitHub - hxii/sixwhyo: A six-year-old code reviewer who's not afraid to as "why?" about everything.
hxii · 2026-06-23 · via Show HN

sixwhyo

sixwhyo (6 y.o.)

Dad, is this function so long because it is Python?

MIT License

sixwhyo asks "Why?" for you, the adult who is stuck in their fixed mindset, expected conventions and beliefs about how code should look and work.

sixwhyo tears down the over-engineered castles you've built for yourself for absolutely no reason just because that's either what you're used to, or someone told you to do it that way.

The inspiration for this was:

  • My own 6-year-old, Andy! ❤️
  • Ponytail

Skills

Skill Description
sixwhyo A six-year-old code reviewer who asks "why?" about everything. Catches over-engineering, confusing names, and unnecessary complexity.
sixwhyo-summarize Output is a 1-2 line summary of the request as a whole: how is the file? Is the class nice? Is the function correct?
sixwhyo-simplify Corrects the code through the lens of a 6-year-old, maintaining simplicity and readability.

Usage

Trigger What happens
Say 6yo The kid turns on and stays on. Persists across responses until you say stop or go to your room.
sixwhyo-simplify One-shot: reviews and rewrites the code, then exits.
sixwhyo-summarize One-shot: produces a 1-2 line summary of the file, then exits.

Install

OpenCode

To install globally

mkdir -p ~/.config/opencode/skills/ && git clone https://github.com/hxii/sixwhyo.git ~/.config/opencode/skills/sixwhyo

To install in your project

mkdir -p .opencode/skills/ && git clone https://github.com/hxii/sixwhyo.git .opencode/skills/sixwhyo

Oh My Pi (omp)

Via omp

omp plugin install github:hxii/sixwhyo

Pi

Via pi

pi install git:github.com/hxii/sixwhyo

To install globally

mkdir -p ~/.agents/skills/sixwhyo && git clone https://github.com/hxii/sixwhyo.git ~/.agents/skills/sixwhyo

To install in your project

mkdir -p .agents/skills/sixwhyo && git clone https://github.com/hxii/sixwhyo.git .agents/skills/sixwhyo

Codex

Run

codex plugin marketplace add hxii/sixwhyo

Example

# calculator.py
from abc import ABC, abstractmethod

class Operation(ABC):
    @abstractmethod
    def execute(self, a: float, b: float) -> float:
        pass

class AdditionOperation(Operation):
    def execute(self, a: float, b: float) -> float:
        return a + b

class SubtractionOperation(Operation):
    def execute(self, a: float, b: float) -> float:
        return a - b

class MultiplicationOperation(Operation):
    def execute(self, a: float, b: float) -> float:
        return a * b

class DivisionOperation(Operation):
    def execute(self, a: float, b: float) -> float:
        if b == 0:
            raise ValueError("Cannot divide by zero")
        return a / b

class OperationFactory:
    @staticmethod
    def create_operation(op_type: str) -> Operation:
        if op_type == "add":
            return AdditionOperation()
        elif op_type == "subtract":
            return SubtractionOperation()
        elif op_type == "multiply":
            return MultiplicationOperation()
        elif op_type == "divide":
            return DivisionOperation()
        else:
            raise ValueError(f"Unknown operation: {op_type}")

class Calculator:
    def __init__(self):
        self.factory = OperationFactory()

    def calculate(self, op_type: str, a: float, b: float) -> float:
        operation = self.factory.create_operation(op_type)
        return operation.execute(a, b)

def main():
    calc = Calculator()
    result = calc.calculate("add", 5, 3)
    print(f"Result: {result}")

if __name__ == "__main__":
    main()

becomes

This file is too big and I'm confused.

**Why is it called test.py when it says calculator.py inside?**
The comment on line 1 says "calculator.py" but the file is test.py. That's like putting a "cat" label on a dog.

**Why so many classes for adding numbers?**
You have:
- One class to say "what an operation is" (Operation)
- Four classes for adding, subtracting, multiplying, dividing
- One class to make the operations (OperationFactory)
- One class to use the operations (Calculator)

That's 7 classes to do `a + b`. I can do that with just `a + b`.

**Why does the factory need to exist?**
The factory takes a string like "add" and returns an AdditionOperation. But why not just do the math right there? When I want to add 5 and 3, I don't need to build a machine first.

**Why does Calculator need its own class?**
It just has one method that asks the factory for an operation and runs it. That's two lines of code, not a whole class.

**What's good:**
You did check for dividing by zero. That's smart because dividing by zero makes numbers explode.

**My question:**
Why can't this whole file just be:

```python
def calculate(op, a, b):
    if op == "add": return a + b
    if op == "subtract": return a - b
    if op == "multiply": return a * b
    if op == "divide":
        if b == 0: raise ValueError("Cannot divide by zero")
        return a / b
    raise ValueError(f"Unknown operation: {op}")
```

That's 8 lines instead of 56. Do we really need all those classes?