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AI, networks and Mechanical Turks (2025)

https://www.ben-evans.com/benedictevans/2025/11/23/ai-networks-and-mechanical-turks
1•mooreds•42s ago•0 comments

Goto Considered Awesome [video]

https://www.youtube.com/watch?v=1UKVEUGEk6Y
1•linkdd•3m ago•0 comments

Show HN: I Built a Free AI LinkedIn Carousel Generator

https://carousel-ai.intellisell.ai/
1•troyethaniel•4m ago•0 comments

Implementing Auto Tiling with Just 5 Tiles

https://www.kyledunbar.dev/2026/02/05/Implementing-auto-tiling-with-just-5-tiles.html
1•todsacerdoti•5m ago•0 comments

Open Challange (Get all Universities involved

https://x.com/i/grok/share/3513b9001b8445e49e4795c93bcb1855
1•rwilliamspbgops•6m ago•0 comments

Apple Tried to Tamper Proof AirTag 2 Speakers – I Broke It [video]

https://www.youtube.com/watch?v=QLK6ixQpQsQ
2•gnabgib•8m ago•0 comments

Show HN: Vibe as a Code / VaaC – new approach to vibe coding

https://www.npmjs.com/package/@gace/vaac
1•bstrama•9m ago•0 comments

Show HN: More beautiful and usable Hacker News

https://twitter.com/shivamhwp/status/2020125417995436090
3•shivamhwp•10m ago•0 comments

Toledo Derailment Rescue [video]

https://www.youtube.com/watch?v=wPHh5yHxkfU
1•samsolomon•12m ago•0 comments

War Department Cuts Ties with Harvard University

https://www.war.gov/News/News-Stories/Article/Article/4399812/war-department-cuts-ties-with-harva...
5•geox•15m ago•0 comments

Show HN: LocalGPT – A local-first AI assistant in Rust with persistent memory

https://github.com/localgpt-app/localgpt
1•yi_wang•16m ago•0 comments

A Bid-Based NFT Advertising Grid

https://bidsabillion.com/
1•chainbuilder•20m ago•1 comments

AI readability score for your documentation

https://docsalot.dev/tools/docsagent-score
1•fazkan•27m ago•0 comments

NASA Study: Non-Biologic Processes Don't Explain Mars Organics

https://science.nasa.gov/blogs/science-news/2026/02/06/nasa-study-non-biologic-processes-dont-ful...
2•bediger4000•30m ago•2 comments

I inhaled traffic fumes to find out where air pollution goes in my body

https://www.bbc.com/news/articles/c74w48d8epgo
2•dabinat•31m ago•0 comments

X said it would give $1M to a user who had previously shared racist posts

https://www.nbcnews.com/tech/internet/x-pays-1-million-prize-creator-history-racist-posts-rcna257768
4•doener•33m ago•1 comments

155M US land parcel boundaries

https://www.kaggle.com/datasets/landrecordsus/us-parcel-layer
2•tjwebbnorfolk•38m ago•0 comments

Private Inference

https://confer.to/blog/2026/01/private-inference/
2•jbegley•41m ago•1 comments

Font Rendering from First Principles

https://mccloskeybr.com/articles/font_rendering.html
1•krapp•44m ago•0 comments

Show HN: Seedance 2.0 AI video generator for creators and ecommerce

https://seedance-2.net
1•dallen97•48m ago•0 comments

Wally: A fun, reliable voice assistant in the shape of a penguin

https://github.com/JLW-7/Wally
2•PaulHoule•50m ago•0 comments

Rewriting Pycparser with the Help of an LLM

https://eli.thegreenplace.net/2026/rewriting-pycparser-with-the-help-of-an-llm/
2•y1n0•51m ago•0 comments

Lobsters Vibecoding Challenge

https://gist.github.com/MostAwesomeDude/bb8cbfd005a33f5dd262d1f20a63a693
2•tolerance•51m ago•0 comments

E-Commerce vs. Social Commerce

https://moondala.one/
1•HamoodBahzar•52m ago•1 comments

Avoiding Modern C++ – Anton Mikhailov [video]

https://www.youtube.com/watch?v=ShSGHb65f3M
2•linkdd•53m ago•0 comments

Show HN: AegisMind–AI system with 12 brain regions modeled on human neuroscience

https://www.aegismind.app
2•aegismind_app•57m ago•1 comments

Zig – Package Management Workflow Enhancements

https://ziglang.org/devlog/2026/#2026-02-06
1•Retro_Dev•59m ago•0 comments

AI-powered text correction for macOS

https://taipo.app/
1•neuling•1h ago•1 comments

AppSecMaster – Learn Application Security with hands on challenges

https://www.appsecmaster.net/en
1•aqeisi•1h ago•1 comments

Fibonacci Number Certificates

https://www.johndcook.com/blog/2026/02/05/fibonacci-certificate/
2•y1n0•1h ago•0 comments
Open in hackernews

Ask HN: What did onboarding training look like in OS kernel teams?

10•markus_zhang•2mo ago
Context: I'm wondering how did OS kernel teams provide training to their new hires.

I'm mostly curious about:

- NT kernel / XNU kernel / Android kernel teams, or anything that is not OSS like Linux, e.g. some prop RTOS team would also count

- When teams still hired new graduates from targeted schools into kernel teams. Not sure whether your team is still doing this so I put up a past tense.

Questions:

- How much time do new hires work on the training? Do you give e.g. 3 months to catch up and start to work on small tickets, or it's a swim or die strategy?

- If there is any structured training, what material do you use? Is it mostly reading internal docs, or shadowing seniors, or published books about the kernel, or something else?

- How does the training address code quality? What kind of exercises/material does it lay on the new hires to work on code quality? What does code quality mean in the kernel team?

- How does the training address performance? How much do you care about memory footprint?

- Does the training use a minimal version of the production OS and ask the new hires to replicate existing features?

- What "subsystems"/"modules" (e.g. vm/boot/driver/scheduler/fs/etc.) do you expose to the new hires first?

- How does the training address internal tooling, especially kernel debugging?

Thanks for reading, and hopefully I get some answers :D

Comments

addaon•2mo ago
I've worked on or adjacent to one of the kernels you mention, and multiple RTOS's, across twenty years. The onboarding process has been the same as other non-OS software projects I've been involved in. I've never been in an environment where formal training is used. Instead, the new hire is encouraged to read the code, read documentation (when available -- and update it while reading it), ask questions, and take on some smaller tickets; and direct mentorship from a more senior engineer is the main tool for getting them up to speed.
markus_zhang•2mo ago
Thanks addaon, looks like exactly the same as the teams (neither is low level) I worked for.