pd

[Can Bölük @_can1357]

you can really tell these people write nothing but crud react webapps
"there's literally no need to read code anymore"
meanwhile, "mythos-level intelligence" left on it's own:

[Ado @adocomplete]

We're expanding Claude for Open Source to more of the community.

6 months of Claude Max 20x, on us.

If you're a maintainer, a core contributor, someone landing PRs across the ecosystem, or someone keeping a critical package alive, apply today!

[Peter Steinberger 🦞 @steipete]

How do folks run AI-assisted engineering interviews these days?

[Cloudflare @Cloudflare]

We're opening the waitlist for our Monetization Gateway, which will allow you to charge for any web page, dataset, API, or MCP tool behind Cloudflare. The charges will settle in stablecoins over the x402 open protocol. https://t.co/pvICtEIixj

[Charlie Marsh @charliermarsh]

Entering an era in which there will be constant posts about how someone rewrote X in Rust or Y in Zig or Z in C, and they'll have nice-looking benchmarks and graphs, but you'll have no idea if it's at all good or usable

[Arpit Bhayani @arpit_bhayani]

Fun fact: OpenAI handles 800 million users on ChatGPT with just one PostgreSQL primary and 50 read replicas 🤯

Today, OpenAI published an engineering blog explaining how they scaled their Postgres setup to support a massive 800 million users using a single primary and 50 multi-region replicas.

They dive into details around their scaling approach, the PgBouncer proxy, cache locking, and cascading read replicas. It is genuinely neat and impressive.

Some time back, I published a video on my YouTube channel where I dissected the blog and broke down the nuances.

Give it a watch - it is short and fun.

[pd @pd96dev]

@BenjDicken @jarredsumner is your guy

[Gergely Orosz @GergelyOrosz]

Just reflecting on two things that have NOT gotten visibly faster with AI:

1. Launching financial services in a new country/region. Many US neobanks are still not available in the EU, and the other way around. Software was never the bottleneck?

2. Adding support for old hardware. Windows 11 still doesn't run on older devices; iOS still doesn't support older phones, same with Android. Even though we have more ways to make it work, no

What else is like this, where things have not gotten faster at all?

[Sebastián Ramírez @tiangolo]

I saw a job post the other day. 👔

It required 4+ years of experience in FastAPI. 🤦

I couldn't apply as I only have 1.5+ years of experience since I created that thing. 😅

Maybe it's time to re-evaluate that "years of experience = skill level". ♻

[Sebastián Ramírez @tiangolo]

I might not have enough experience to apply to some @FastAPI jobs, but at least it now has 100k GitHub stars. ✨

Thank you for letting me build this. 🙌

🍰☕️

[Matteo Collina @matteocollina]

I looped, and now I have 40 PRs to review. Even with loops, I’m still the bottleneck

[Pedro Marques ⚙︎ @pmarquees]

“No I will never ship code I didn’t read”

1.2 GB node_modules

[Matt Pocock @mattpocockuk]

Top 5 all-time on https://t.co/MCssy4fP9k, nice

Someday its sequel, /wayfinder, will eclipse it

[David Fowler @davidfowl]

Or give your agent a tool that can do it https://t.co/0pXxFYTeuj

[David Fowler @davidfowl]

I see a lot of influencers talking about “not reading the code” and “building software factories” but I don’t see much discourse about what software engineering teams of the future look like? Software is a multilayer game as much as everyone will try to convince you that all you need is a team of agents…

[Dillon Mulroy @dillon_mulroy]

yall im ngl its way harder to get joy and satisfaction out of building with ai than it was before

constantly straddling burn out, being far less immersed in hard problems, constant context switching

i’m tired of the uncertainty of where this is going and how to do it well

[Yuchen Jin @Yuchenj_UW]

a friend: “I burned 15B tokens last week.”

me: “what did you build?”

him: “nothing, mostly Anthropic revenue.”

[Kai @hqmank]

✅Found a wild token hack that only works properly on Fable 5.

Claude charges image tokens by pixel size, not by how much text is in the image.

So someone built a proxy that renders your context into PNGs before sending it to the API.

Before: 92,000 tokens for a dense tool result
After: 4,761 tokens for the same content as a PNG

End-to-end bill savings: 59-70%.

SWE-bench tasks: same completion rate, half the cost.

Link in reply👇

[Vivek Galatage @vivekgalatage]

Visualization plays a significant role in understanding algorithms.

Hence, we have https://t.co/uby1YJwoap

[Simon Willison @simonw]

The most interesting Fable tip I've heard so far is to let the model use its own judgement as much as possible

I told it "For all coding tasks use your judgement to decide an appropriate lower power model and run that in a subagent" and it seems to be saving a lot of tokens