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NPMX – a fast, modern browser for the NPM registry

2026-02-14 @ 02:14:34Points: 63Comments: 29

What dating apps are optimizing. Hint: It isn't love

2026-02-14 @ 01:27:28Points: 79Comments: 47

An AI Agent Published a Hit Piece on Me – More Things Have Happened

2026-02-14 @ 00:37:53Points: 325Comments: 163

OpenAI has deleted the word 'safely' from its mission

2026-02-13 @ 22:17:06Points: 445Comments: 227

Show HN: Data Engineering Book – An open source, community-driven guide

2026-02-13 @ 21:35:52Points: 122Comments: 11

The Problem: I found that learning resources for modern data engineering are often fragmented and scattered across hundreds of medium articles or disjointed tutorials. It's hard to piece everything together into a coherent system.

The Solution: I decided to open-source my learning notes and build them into a structured book. My goal is to help developers fast-track their learning curve.

Key Features:

LLM-Centric: Focuses on data pipelines specifically designed for LLM training and RAG systems.

Scenario-Based: Instead of just listing tools, I compare different methods/architectures based on specific business scenarios (e.g., "When to use Vector DB vs. Keyword Search").

Hands-on Projects: Includes full code for real-world implementations, not just "Hello World" examples.

This is a work in progress, and I'm treating it as "Book-as-Code". I would love to hear your feedback on the roadmap or any "anti-patterns" I might have included!

Check it out:

Online: https://datascale-ai.github.io/data_engineering_book/

GitHub: https://github.com/datascale-ai/data_engineering_book

The EU moves to kill infinite scrolling

2026-02-13 @ 20:52:11Points: 454Comments: 463

GPT-5.2 derives a new result in theoretical physics

2026-02-13 @ 19:20:12Points: 436Comments: 290

I'm not worried about AI job loss

2026-02-13 @ 19:13:04Points: 221Comments: 368

Show HN: Skill that lets Claude Code/Codex spin up VMs and GPUs

2026-02-13 @ 19:02:17Points: 114Comments: 30

When an agent writes code, it usually needs to start a dev server, run tests, open a browser to verify its work. Today that all happens on your local machine. This works fine for a single task, but the agent is sharing your computer: your ports, RAM, screen. If you run multiple agents in parallel, it gets a bit chaotic. Docker helps with isolation, but it still uses your machine's resources, and doesn't give the agent a browser, a desktop, or a GPU to close the loop properly. The agent could handle all of this on its own if it had a primitive for starting VMs.

CloudRouter is that primitive — a skill that gives the agent its own machines. The agent can start a VM from your local project directory, upload the project files, run commands on the VM, and tear it down when it's done. If it needs a GPU, it can request one.

  cloudrouter start ./my-project
  cloudrouter start --gpu B200 ./my-project
  cloudrouter ssh cr_abc123 "npm install && npm run dev"
Every VM comes with a VNC desktop, VS Code, and Jupyter Lab, all behind auth-protected URLs. When the agent is doing browser automation on the VM, you can open the VNC URL and watch it in real time. CloudRouter wraps agent-browser [1] for browser automation.

  cloudrouter browser open cr_abc123 "http://localhost:3000"
  cloudrouter browser snapshot -i cr_abc123
  # → @e1 [link] Home  @e2 [link] Settings  @e3 [button] Sign Out
  cloudrouter browser click cr_abc123 @e2
  cloudrouter browser screenshot cr_abc123 result.png
Here's a short demo: https://youtu.be/SCkkzxKBcPE

What surprised me is how this inverted my workflow. Most cloud dev tooling starts from cloud (background agents, remote SSH, etc) to local for testing. But CloudRouter keeps your agents local and pushes the agent's work to the cloud. The agent does the same things it would do locally — running dev servers, operating browsers — but now on a VM. As I stopped watching agents work and worrying about local constraints, I started to run more tasks in parallel.

The GPU side is the part I'm most curious to see develop. Today if you want a coding agent to help with anything involving training or inference, there's a manual step where you go provision a machine. With CloudRouter the agent can just spin up a GPU sandbox, run the workload, and clean it up when it's done. Some of my friends have been using it to have agents run small experiments in parallel, but my ears are open to other use cases.

Would love your feedback and ideas. CloudRouter lives under packages/cloudrouter of our monorepo https://github.com/manaflow-ai/manaflow.

[1] https://github.com/vercel-labs/agent-browser

Building a TUI is easy now

2026-02-13 @ 17:50:54Points: 182Comments: 124

How did the Maya survive?

2026-02-13 @ 14:36:07Points: 118Comments: 91

Fix the iOS keyboard before the timer hits zero or I'm switching back to Android

2026-02-13 @ 14:21:01Points: 1371Comments: 684

Monosketch

2026-02-13 @ 12:18:05Points: 745Comments: 131

WolfSSL sucks too, so now what?

2026-02-13 @ 10:18:56Points: 99Comments: 77

CSS-Doodle

2026-02-13 @ 08:02:23Points: 146Comments: 16

New Nick Bostrom Paper: Optimal Timing for Superintelligence [pdf]

2026-02-13 @ 05:05:26Points: 74Comments: 81

The wonder of modern drywall

2026-02-13 @ 03:33:27Points: 94Comments: 145

Anthropic raises $30B in Series G funding at $380B post-money valuation

2026-02-12 @ 18:58:56Points: 399Comments: 407

Common Lisp Screenshots: today's CL applications in action

2026-02-12 @ 01:44:35Points: 72Comments: 19

Adventures in Neural Rendering

2026-02-10 @ 21:26:16Points: 20Comments: 1

Gradient.horse

2026-02-10 @ 04:13:49Points: 183Comments: 42

Show HN: I spent 3 years reverse-engineering a 40 yo stock market sim from 1986

2026-02-10 @ 02:44:58Points: 99Comments: 23

It has been a rough journey but I finally see the light at the end of the tunnel. I just recently redid the website and thought maybe the full story of how this project came to be would interest you all. Thank you for reading.

Faster Than Dijkstra?

2026-02-10 @ 02:36:34Points: 118Comments: 69

The Blurred Line Between Video Calling and Live Streaming Software

2026-02-09 @ 20:41:34Points: 21Comments: 4

gRPC: From service definition to wire format

2026-02-09 @ 12:17:23Points: 109Comments: 13

Sandwich Bill of Materials

2026-02-08 @ 23:15:54Points: 220Comments: 25

Advanced Aerial Robotics Made Simple

2026-02-08 @ 15:10:30Points: 117Comments: 9

Green’s Dictionary of Slang - Five hundred years of the vulgar tongue

2026-02-08 @ 05:10:36Points: 98Comments: 15

Implementing Auto Tiling with Just 5 Tiles

2026-02-08 @ 01:37:36Points: 86Comments: 16

Font Rendering from First Principles

2026-02-08 @ 00:58:29Points: 123Comments: 16

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