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

N
Netflix TechBlog - Medium
I
InfoQ
Engineering at Meta
Engineering at Meta
Jina AI
Jina AI
Recent Announcements
Recent Announcements
T
The Blog of Author Tim Ferriss
P
Proofpoint News Feed
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
D
Docker
Microsoft Security Blog
Microsoft Security Blog
宝玉的分享
宝玉的分享
Last Week in AI
Last Week in AI
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
GbyAI
GbyAI
博客园 - Franky
博客园 - 聂微东
Microsoft Azure Blog
Microsoft Azure Blog
博客园 - 叶小钗
酷 壳 – CoolShell
酷 壳 – CoolShell
B
Blog RSS Feed
WordPress大学
WordPress大学
MyScale Blog
MyScale Blog
月光博客
月光博客
罗磊的独立博客

Show HN

GitHub - astefanutti/shaderbang: Shebang for Shaders 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
The Time Traveling Pizza Configurator
steampixel · 2026-06-03 · via Show HN

Most configurators ask you a list of questions. Wanderer asks the right questions, in the right order, and quietly rewrites itself whenever you change your mind.

To show what Wanderers engine (Reactive Graph Sequencing) actually feels like in practice, let's build something familiar: a pizza configurator. You can try the live demo right on this page.

The Setup

The configurator walks you through a series of choices. Dough. Sauce. Cheese. Crust. Toppings. Each answer feeds into the next, and at the end you get a clean summary of your pizza.

So far, nothing unusual. Any form builder can do this.

But here's where it gets interesting.

Conditional Follow-Ups

When you pick size, you can choose between small, medium, large, and party pizza. If you pick party pizza, a new question appears: do you want it pre sliced? If yes, another question follows: how many slices?

That slice count then shows up in the final summary, right next to your toppings.

In a traditional flow builder, you'd wire this up with conditional branches, store the slice count in a variable, and write a bit of glue code to make sure the summary reflects the choice. Doable, but tedious.

In Wanderer, you just draw it. The graph handles the rest.

The Magic: Going Back

Now imagine you've finished configuring your party pizza with 12 slices. You scroll back through your answers and decide that actually, you want a small pizza instead.

You click on the size question. You change party pizza to small.

Three things happen automatically:

  1. The slice questions disappear from your configuration
  2. The slice count vanishes from the summary
  3. The flow continues cleanly from wherever the last valid question was

You didn't write any logic for this. You didn't define rollback rules. You didn't mark dependencies. The graph already knew that the slice questions only existed because of the party pizza choice. When that premise disappeared, everything downstream of it disappeared too.

This is retroactive adaptation, and it's the defining feature of RGS.

Why This Works

Every node in the graph holds state. Every edge carries a condition. When you change an answer, the graph doesn't just move forward to the next question. It re traverses itself from scratch, evaluates which paths are still valid given the new state, and collapses into a fresh sequence.

The questions that no longer belong simply aren't part of the new sequence. Their state is invalidated. Their entries in the summary vanish. The flow resumes at the first unanswered question in the new path.

You're not patching a flow. You're regenerating it.

Why You Care

If you've ever built a wizard, a configurator, or a chatbot with conditional logic, you know the pain. Forward flow is easy. Backward flow is where things break. Users change their minds, and suddenly your state is inconsistent, your summary is wrong, and you're writing invalidation logic by hand for every possible dependency.

RGS handles this by default. Backtracking, follow up questions, and data invalidation all happen on their own, because the graph itself encodes the dependencies.

That means:

  • You can let users freely jump back and edit any earlier answer
  • You don't need to track which fields depend on which other fields
  • You don't need to manually clear stale data
  • The summary always reflects the current valid state of the configuration

Try the Demo

The pizza configurator on this page is running on Wanderer right now. Change your mind as often as you like. Jump backwards. Pick party pizza, set your slice count, then switch to small and watch the slices quietly disappear. The graph is doing all of it for you.

You can learn more about the technology (Reactive Graph Sequencing) here: https://wanderer-flow.de/blog/reactive-graph-sequencing-the-technology-behind-wanderer