Compiler…

Lexical Analysis

[Abhinav Upadhyay @abhi9u]

Before jumping into books like DDIA or Database Internals, it helps to understand the systems layer these designs are built on.

A lot of the design of such data-intensive systems is based on virtual memory: page tables, page faults, mmap, the page cache, swapping, NUMA placement, TLBs, and the tradeoffs between what the OS wants and what the database wants.

My latest article is a ~25,000-word mini-book on virtual memory.

It starts from first principles and goes all the way down to advanced topics like NUMA placement and performance debugging with tools like perf and /proc.

I also wrote it differently: as a dialogue between a user-space process and the kernel.

Most treatments of virtual memory are dry and fact-heavy. I wanted this one to feel more like a story, while still being technically deep.

Link below.

[swyx @swyx]

this is a big deal, on the order of Kelsey Hightower’s “Kubernetes The Hard Way” and probably all ai engineers should go thru this once

mostly i advocate “just in time learning”, but this is one scenario you want “just in case”

[Matt Pocock @mattpocockuk]

A talk I gave a few weeks ago.

Software fundamentals matter more than ever. Here's why:

https://t.co/KG7gdqFo2j

[Theo - t3.gg @theo]

Spain's egregious Cloudflare blocks are breaking Docker now 💀

[Vivek Galatage @vivekgalatage]

Paper: The Path of a Packet Through the Linux Kernel

https://t.co/aQQZ649dxa

Computer Networking is one of my favourite topics - I even did my final-year project on MPLS/LDP on a Linux box. That meant a lot of hands-on NIC configuration: setting up interfaces in various modes so packets could be routed correctly over LDP. And tracing how packet buffers are handled to implement zero-copy wherever possible.

This paper is a deep dive into how packets traverse the kernel - the kind I wish I'd had back then. Worth saving for a careful read.

[Kit Langton @kitlangton]

I recommend looking into 𝚘𝚙𝚎𝚗𝚝𝚞𝚒

[Vivek Galatage @vivekgalatage]

The CSE 351 Cache Simulator is the best hands-on way to understand cache hits, misses, LRU eviction, and write policies.

Tweak the parameters, step through memory accesses, watch it all happen live.

https://t.co/HKBrfyt5Go

[Dillon Mulroy @dillon_mulroy]

almost 11 years ago i watched this talk on my lunch break. it ended up being one of the most influential videos i've ever watched.

been workflow pilled ever since

https://t.co/UATXnKsEWH

[Steve Krouse @stevekrouse]

I disagree: https://t.co/D17M3HAF1b

Code is how we get precise abstractions into human heads

Saying code isn't important is like saying mathematical notation isn't important

There's a reason we glorify f = ma or e = mc2. Formalism holds immense power for mastering complexity

[Andrej Karpathy @karpathy]

Expectation: the age of the IDE is over
Reality: we’re going to need a bigger IDE
(imo).

It just looks very different because humans now move upwards and program at a higher level - the basic unit of interest is not one file but one agent. It’s still programming.

[Ben Dicken @BenjDicken]

oops did it again

[wangbin579 @wangbin579]

If you want to become a database genius among your peers, you need to read this article. It offers invaluable insights that could mark the beginning of your breakthrough in the database field.

[Sahitya @sahitya_twt]

Open-source contributions can literally get you hired...

with zero interviews

[Tech At Bloomberg @TechAtBloomberg]

During his talk this morning in the #Go devroom at #FOSDEM2026 (10:30 AM CET), software engineer Valentyn Yukhymenko explores how Reflection actually works under the hood in @golang
https://t.co/8ycdZIzI8Z
#golang #GoRuntime #opensource

[Randall Kanna Franson @RandallKanna]

https://t.co/zSKgLwgIrG

[Boris Cherny @bcherny]

I'm Boris and I created Claude Code. I wanted to quickly share a few tips for using Claude Code, sourced directly from the Claude Code team. The way the team uses Claude is different than how I use it. Remember: there is no one right way to use Claude Code -- everyones' setup is different. You should experiment to see what works for you!

[Bohan Zhang @BohanZhangOT]

@PostgreSQL has long powered core @OpenAI products like ChatGPT and the API. Over the past year, our production load grew 10× and keeps rising. Today we run a single primary with nearly 50 read replicas in production, delivering low double-digit millisecond p99 client-side latency and five-nines availability. In our latest OpenAI Engineering blog, we unpack the optimizations we made to to scale @Azure PostgreSQL to millions of queries per second for more than 800M ChatGPT users. Check out the full post here: https://t.co/VTnxhlwlat

[Ryan Peterman @ryanlpeterman]

https://t.co/i5I9vM3Xtw

[Ben Dicken @BenjDicken]

Postgres vs MySQL Transactions + Log-based writes (Database Internals Chapter 5) https://t.co/u8lWNvKra3

[vixhaℓ @TheVixhal]

https://t.co/7BdtGHXTdF