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JPEG DNA – Archival of media assets in nucleoid sequences

https://jpeg.org/jpegdna/
1•rochav•55s ago•0 comments

What is my face shape

https://whatismyfaceshape.net/
1•adilblati3•1m ago•0 comments

Kohler Can Access Data from Toilet Camera It Describes as "End-to-End Encrypted"

https://varlogsimon.leaflet.pub/3m6zrw6k2bs2p
1•BCM43•2m ago•0 comments

Navigating the future of AI agent security [audio]

https://overcommitted.dev/ep-36-navigating-the-future-of-ai-agent-security-with-dan-moore/
1•mooreds•3m ago•0 comments

OpenAI's Sam Altman Declares 'Code Red' After Rivals Make Advances

https://www.ft.com/content/7a42396f-487a-47b0-8121-8d8f2112fa53
1•skx001•3m ago•1 comments

Another open source project dies of neglect, leaving thousands scrambling

https://www.theregister.com/2025/12/02/ingress_nginx_opinion/
2•CrankyBear•4m ago•0 comments

AWS unveils frontier agents, a new class of AI agents that work as an extension

https://www.aboutamazon.com/news/aws/amazon-ai-frontier-agents-autonomous-kiro
1•_____k•4m ago•0 comments

3mdeb Ports Their Dasharo Firmware to a Recent ASRock Rack Motherboard

https://www.phoronix.com/news/3mdeb-Dasharo-SPC741D8
3•pietrushnic•6m ago•1 comments

Show HN: Schema3D – Interactive SQL schema visualization

https://schema3d.com/
1•shane-jacobeen•6m ago•1 comments

Tangle: An open-source ML experimentation platform built at Shopify scale

https://shopify.engineering/tangle
1•vincentzed•6m ago•1 comments

Vitest Browser Mode Starter (React) Repo

https://github.com/HowToTestFrontend/vitest-browser-mode-starter-react
1•howToTestFE•8m ago•0 comments

Ask HN: How do you do things outside of work?

3•izzylan•8m ago•2 comments

Some people still drive stick

https://www.praf.me/driving-stick
1•_praf•9m ago•0 comments

WordPress 6.9

https://wordpress.org/download/releases/6-9/
1•pentagrama•12m ago•0 comments

Give Us One Manual for Normies, Another for Hackers

https://hackaday.com/2025/12/02/give-us-one-manual-for-normies-another-for-hackers/
1•zdw•12m ago•0 comments

Dhrystone

https://en.wikipedia.org/wiki/Dhrystone
1•krelian•13m ago•0 comments

TIL the Wayback Machine saves 150k gigabytes of webpages every day

https://www.pcgamer.com/hardware/til-the-wayback-machine-saves-150-000-gigabytes-of-webpages-ever...
1•not4uffin•13m ago•0 comments

Yttrium – The Rare Earth Metal Driving Tensions Between the US and China

https://www.wired.com/story/yttrium-rare-earth-metal-china-us/
1•skx001•14m ago•0 comments

Instant Supercompute: Launching Wolfram Compute Services

https://writings.stephenwolfram.com/2025/12/instant-supercompute-launching-wolfram-compute-services/
1•birriel•15m ago•0 comments

Optimize for Momentum

http://muratbuffalo.blogspot.com/2025/12/optimize-for-momentum.html
1•zdw•18m ago•0 comments

In the Shadow of Jane Street and Citadel Securities, Hudson River Mints Billions

https://www.bloomberg.com/news/features/2025-12-01/high-speed-trader-hudson-river-steps-up-battle...
1•jrehor•22m ago•0 comments

The Market Myth (2016)

https://www.cadmusjournal.org/node/532
1•measurablefunc•23m ago•0 comments

A History of SmarterChild (2016)

https://www.vice.com/en/article/a-history-of-smarterchild/
2•alwa•25m ago•0 comments

Back End in a Coffee Break

https://nomirun.com/
1•mihajakovac•25m ago•1 comments

Mamoru Oshii's Patlabor 2 Has Most Realistic Movie Portrayal of Aerial Combat

https://www.cartoonbrew.com/anime/patlabor-2-most-accurate-air-combat-221108.html
2•austinallegro•26m ago•0 comments

Blue Origin Plans to Beat SpaceX to the Moon

https://www.wsj.com/business/blue-origin-moon-mission-plan-spacex-9c6b9595
2•JumpCrisscross•28m ago•0 comments

Musk Foundation

https://muskfoundation.org/
2•tusslewake•28m ago•0 comments

Work disincentives hit the near-poor hardest (2022)

https://www.niskanencenter.org/work-disincentives-hit-the-near-poor-hardest-why-and-what-to-do-ab...
2•folump•30m ago•0 comments

AI generated font using nano banana

https://constanttime.notion.site/Worlds-first-Ai-generated-font-using-nano-banana-2ba6f8e15af1801...
4•ebaad96•31m ago•0 comments

Optimising PostgreSQL Memory Configuration

https://tomfos.tr/postgres/tuning/memory/
2•irq-1•31m ago•0 comments
Open in hackernews

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

6•markus_zhang•40m 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•35m 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•32m ago
Thanks addaon, looks like exactly the same as the teams (neither is low level) I worked for.