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Replacing Obsidian with Neovim

https://linkarzu.com/posts/neovim/markdown-setup-2025/
1•feel-ix-343•1m ago•0 comments

Velocity of Money

https://en.wikipedia.org/wiki/Velocity_of_money
1•gurjeet•2m ago•0 comments

Stop building automations. Start running your business

https://www.fluxtopus.com/automate-your-business
1•valboa•7m ago•1 comments

You can't QA your way to the frontier

https://www.scorecard.io/blog/you-cant-qa-your-way-to-the-frontier
1•gk1•8m ago•0 comments

Show HN: PalettePoint – AI color palette generator from text or images

https://palettepoint.com
1•latentio•9m ago•0 comments

Robust and Interactable World Models in Computer Vision [video]

https://www.youtube.com/watch?v=9B4kkaGOozA
1•Anon84•12m ago•0 comments

Nestlé couldn't crack Japan's coffee market.Then they hired a child psychologist

https://twitter.com/BigBrainMkting/status/2019792335509541220
1•rmason•14m ago•0 comments

Notes for February 2-7

https://taoofmac.com/space/notes/2026/02/07/2000
2•rcarmo•15m ago•0 comments

Study confirms experience beats youthful enthusiasm

https://www.theregister.com/2026/02/07/boomers_vs_zoomers_workplace/
2•Willingham•22m ago•0 comments

The Big Hunger by Walter J Miller, Jr. (1952)

https://lauriepenny.substack.com/p/the-big-hunger
2•shervinafshar•23m ago•0 comments

The Genus Amanita

https://www.mushroomexpert.com/amanita.html
1•rolph•28m ago•0 comments

We have broken SHA-1 in practice

https://shattered.io/
9•mooreds•29m ago•2 comments

Ask HN: Was my first management job bad, or is this what management is like?

1•Buttons840•30m ago•0 comments

Ask HN: How to Reduce Time Spent Crimping?

2•pinkmuffinere•31m ago•0 comments

KV Cache Transform Coding for Compact Storage in LLM Inference

https://arxiv.org/abs/2511.01815
1•walterbell•36m ago•0 comments

A quantitative, multimodal wearable bioelectronic device for stress assessment

https://www.nature.com/articles/s41467-025-67747-9
1•PaulHoule•38m ago•0 comments

Why Big Tech Is Throwing Cash into India in Quest for AI Supremacy

https://www.wsj.com/world/india/why-big-tech-is-throwing-cash-into-india-in-quest-for-ai-supremac...
1•saikatsg•38m ago•0 comments

How to shoot yourself in the foot – 2026 edition

https://github.com/aweussom/HowToShootYourselfInTheFoot
1•aweussom•38m ago•0 comments

Eight More Months of Agents

https://crawshaw.io/blog/eight-more-months-of-agents
4•archb•40m ago•0 comments

From Human Thought to Machine Coordination

https://www.psychologytoday.com/us/blog/the-digital-self/202602/from-human-thought-to-machine-coo...
1•walterbell•41m ago•0 comments

The new X API pricing must be a joke

https://developer.x.com/
1•danver0•41m ago•0 comments

Show HN: RMA Dashboard fast SAST results for monorepos (SARIF and triage)

https://rma-dashboard.bukhari-kibuka7.workers.dev/
1•bumahkib7•42m ago•0 comments

Show HN: Source code graphRAG for Java/Kotlin development based on jQAssistant

https://github.com/2015xli/jqassistant-graph-rag
1•artigent•47m ago•0 comments

Python Only Has One Real Competitor

https://mccue.dev/pages/2-6-26-python-competitor
4•dragandj•48m ago•0 comments

Tmux to Zellij (and Back)

https://www.mauriciopoppe.com/notes/tmux-to-zellij/
1•maurizzzio•49m ago•1 comments

Ask HN: How are you using specialized agents to accelerate your work?

1•otterley•50m ago•0 comments

Passing user_id through 6 services? OTel Baggage fixes this

https://signoz.io/blog/otel-baggage/
1•pranay01•51m ago•0 comments

DavMail Pop/IMAP/SMTP/Caldav/Carddav/LDAP Exchange Gateway

https://davmail.sourceforge.net/
1•todsacerdoti•52m ago•0 comments

Visual data modelling in the browser (open source)

https://github.com/sqlmodel/sqlmodel
1•Sean766•54m ago•0 comments

Show HN: Tharos – CLI to find and autofix security bugs using local LLMs

https://github.com/chinonsochikelue/tharos
1•fluantix•54m ago•0 comments
Open in hackernews

Ask HN: How did you learn to debug production incidents?

1•binora•1mo ago

Comments

marco_z•1mo ago
Through tears and mud, how else?
jackfranklyn•1mo ago
Honestly, by being thrown into fires and surviving them. A few things that accelerated it:

1. Building mental models of the entire stack - when you understand how data flows from request to database and back, you can narrow down "where" faster than "what"

2. Getting comfortable reading logs before reaching for the debugger. Production debugging is 80% log archaeology

3. Keeping a personal incident journal. After each outage I'd write what I assumed, what was actually wrong, and what evidence I missed. You start recognizing your own blind spots

4. Pair debugging with more senior engineers when possible. Watching how someone else navigates the same chaos teaches patterns you'd never discover alone

The uncomfortable truth is there's no shortcut - you have to accumulate scar tissue from actual incidents. But deliberate reflection on each one compounds faster than just moving on.

dhavalt•1mo ago
While debugging a crash or incident, I used to get lost in the specific line of code and trying to fixing symptoms. TLA+ gave me new prespective towards debugging, and started treating system crashes as a state problems rather than just code errors. I stop asking 'Why is this line failing?' and start asking 'How did the system get into this state?'.

And whenever a fix or patch feel like a duct-tape to me, start looking at the architecture and keep asking myself how can this be refactor to make it more resilient.

I realized my brain naturally wants to 'fill in the gaps' with assumptions. Learning to suppress that urge and force myself to verify what is actually happening rather than what I think is happening has been the most important part of my growth.

Its a continues process, you never stop learning.