cbro

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cbro

cbro

@broady

yaml/md/blob engineering @buildwithfern, former bigtech worker. coding for fun.

Katılım Nisan 2007
483 Takip Edilen3.1K Takipçiler
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cbro
cbro@broady·
I've verbally accepted an offer to join as staff eng @buildwithfern to sling some yaml (the currency of the future). I'm excited to be a part of a small team scaling it up with @getpostman.
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Pekka Enberg
Pekka Enberg@penberg·
@jhleath Nice! How are you doing multi-writer with this architecture?
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Hunter Leath
Hunter Leath@jhleath·
excited to announce serverless, multi-writer SQLite for Archil users. even though file systems are the primitive for AI agents, builders know that some data is better represented as database tables. good news is that those databases run on our file system natively. today, we're making it simple to add infinite SQLite databases to your file system, send queries/mutations to it from multiple locations, and only pay for the storage that you're actively using. excited to see what you build!
Archil@archildata

Agents need structured data too. Developers are using SQLite to store agent history, state, and memories, alongside Markdown. Today, we're announcing serverless SQLite on Archil. Create unlimited databases on your disk, and use our SDK against them -- from multiple clients.

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Iheanyi Ekechukwu
I get rules are rules but these visitation rules in the hospital are extremely ass for people with big families, no lie. 3 people ain't enough.
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Beyang
Beyang@beyang·
Agents != Models I've said this before, but it bears repeating: Amp's agent modes take away a lot of cognitive load. A user sent me a screenshot, I pasted it into low mode. "Wait, can that model do images?" The model can't, but the agent was fine:
Beyang tweet media
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cbro
cbro@broady·
@kubedoll this guy's local compute is limited to whatever MacBook he has. he is clueless
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TaitoAD
TaitoAD@TaitoTotsAD·
@Aitch_El @MitchPls4Real It's disrespectful to the animals, I have no issues with eating animals I do however have a problem with them being slaughtered for nothing. >_>
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Mitch
Mitch@MitchPls4Real·
I worked nights at Woolies during uni. There were always stacks of perfectly good rotisserie chickens and fresh bakery items left at closing. At first, night staff could take them home free or heavily discounted. Then head office banned it - no markdowns, no staff takeaways. Every night I’d throw 20+ good chickens and piles of bread in the bin. One coworker took a couple home for her kids. She got caught and was fired. They wouldn’t even donate to charities or food banks.
talegio difficult #boycottMSO 🇸🇩🇮🇷@talegio212959

65c off and expires today. Who are they kidding

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cbro
cbro@broady·
@jayair It's not too late to back out
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Jay
Jay@jayair·
Yeah so the move to Slack is going well
dax@thdxr

someone at @SlackHQ please add a reply feature. i'm begging you just copy discord DO NOT GET CREATIVE please

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cbro
cbro@broady·
@kwuchu Great choice, nice color
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cbro
cbro@broady·
@0thernet Would you write the next post about why that's valuable and a goal for you? One layer deeper please!
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cbro
cbro@broady·
@cunnyphile1488 @chrisczynski @kerckhove_ts had to explicitly disable single process because it leaked every new tab and window on my Arch system. I'm not blaming ghostty for this, but it wasn't a good experience
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Tom Sydney Kerckhove
Tom Sydney Kerckhove@kerckhove_ts·
I keep hearing great things about ghostty but it takes more than 100ms to start. That's just not fast enough for me to use it over urxvt.
Mitchell Hashimoto@mitchellh

Ghostty is now indisputably the fastest terminal emulator at IO throughput, by a very large margin. On ASCII, Unicode, and CSI tests, Ghostty is more than 2x (double!) faster than any other leading "fast" terminal. These changes are directly in libghostty, too, so everyone wins. `time cat 150MB_ascii.txt`: - Ghostty nightly: 575ms - Ghostty 1.3.2: 1.5sec - Alacritty: 1.2sec - Kitty: 1.7sec - Warp: 3.8sec - iTerm2, Terminal: stopped after 60s `time cat 150MB_unicode.txt` (mixed languages): - Ghostty nightly: 536ms - Ghostty 1.3.2: 1.22sec - Alacritty: 1.05s - Kitty: 1.35s - Warp: 3.4s - iTerm2, Terminal: stopped after 60s `DOOM-Fire-Zig` (an IO test): - Ghostty nightly: 842fps - Ghostty 1.3.2: 532fps - Kitty: 485fps - Alacritty: 593fps - Warp: 577fps - iTerm2, Terminal: 60fps (yes, 60) To quickly address the "cat speed doesn't matter" naysayers: this is a direct test of how many bytes/second you can push through a terminal. It doesn't cover just "read big file" but also "how much can a TUI do". The tests above test various shapes of inputs (plain ascii, unicode/wide chars, csi-heavy loads, etc.). IO throughput is incredibly important. Most of these improvements apply to libghostty-vt consumers too, so any libghostty-based terminals will instantly see huge throughput improvements by simply upgrading (ABI compatible). I'll cover the exact improvements in a blog post in the future. These results are the result of 6 separate optimizations.

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cbro
cbro@broady·
@m4rkmc what's the size on disk for the tile set
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Mark McD ☠
Mark McD ☠@m4rkmc·
My buddy made a 1 terapixel rendering of the Buddhabrot fractal. He believes it to be the largest static render ever made. 2^20 pixels square.
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rita kozlov 🐀
rita kozlov 🐀@ritakozlov·
this is actually a really big deal especially for frameworks / ISR type workloads on top of workers
Brendan Irvine-Broque@irvinebroque

Workers Cache — Your Cloudflare Worker now has its own tiered cache in front of it: blog.cloudflare.com/workers-cache/ Workers Cache is a programmable tiered cache between Workers — even between code running in the same Worker we’ve seen pretty much every approach to caching over the years from our customers, and Workers Cache is the direct result of everything we’ve learned it takes all the workarounds and clever hacks we’ve seen to make sites and APIs fast, and simplifies them down to writing JavaScript and returning Cache-Control headers you can use for so much — for us this is like shipping 12 different things on the same day first up — you can use it to place your app near your database, cache its responses, and run code in front close to users:

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cbro
cbro@broady·
@zeeg sometimes the enjoyment of reading LLM code comes down to comic relief
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cbro
cbro@broady·
@fatih this is the model that feels like an extremely solid senior SWE
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Fatih Arslan
Fatih Arslan@fatih·
Initial impressions using Fable 5 (High) so far 1. It's still consistent when it passes 200k context window. 2. It has a tendency to automatically commit on certain decisions, even though I told it a few times to give me its takes. 3. Building on the previous step, it's pretty good for long running sessions. It rarely needs human intervention. 4. I love how it explains things concisely. 5. It found so far a few outstanding edge cases that are very subtle in our operators. Those are well documented in our codebase, but It was fascinating to see when it pulled out those pieces for me. I like it for designing and planning so far, and it's superb in that regards. I created several follow-up plans, each independent of each other, and if I want, I could just parellize them via sub agents (assuming they each work in their respective worktrees).
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Ivan Burazin
Ivan Burazin@ivanburazin·
There is no category where Kubernetes wins for agentic workloads. Performance: sandbox (90ms vs. 2s per instance) Ergonomics: sandbox (2 commands vs. 12 steps) Statefulness: sandbox (local NVMe vs. mounted EBS) Spiky workloads: sandbox (2.7x more efficient) Steady state: sandbox (2% more efficient) So if you need a sandbox, use a goddamn sandbox.
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cbro
cbro@broady·
@ivanburazin @lox @renehernandezio Is this really a comparison of a truck vs car? Comparing k8s and a "sandbox" is more like a comparison between an interstate road system and a car.
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Ivan Burazin
Ivan Burazin@ivanburazin·
@lox @renehernandezio Sure you can. But all that adds more complexity and cost - not less. You’re trying to use a truck when you need a car.
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cbro
cbro@broady·
@elithrar very very good. congratulations
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Matt Silverlock 🐀
Matt Silverlock 🐀@elithrar·
in some personal news: after 10+ years here in the US, i’m now a permanent resident 🦅 🇺🇸 what an incredible wave of relief to have read “case approved”.
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