Heading to SysOps/DevOps Katowice tonight? So am I—but I’ll be up on stage! 🎤
Join me for some serious engineering deep-dives, community Q&A, and networking over pizza.
📅 Tonight (Oct 14) at 18:00 CEST
📍 ING Hubs Poland, Katowice
Last chance to sign up! 👇
meetup.com/pl-pl/sysopskato/
#DevOps #SysOps #Katowice #TechMeetup
Lech Kalinowski retweeted
We trained Apex for React Native. It landed #2 at fixing web React.
Callstack's Apex is tied #5 overall on @aidenybai's ReactBench. React Native tuning carries over to the web.
Try it on Vercel AI Gateway or apex.callstack.com
Lech Kalinowski retweeted
AI helps your team ship code faster, but how does it actually achieve end-to-end ROI?
@syke shares his approach: start with a business metric hypothesis, verify user exposure, then measure the outcome and cost.
Learn how to apply a rubric before calling your next agent-assisted feature release a success 👇 Link in the comments
🚀 Apex is now available on Vercel AI Gateway.
Callstack’s agentic coding model is built for React Native, React, and Next.js, with a 256K context window for feature development, debugging, testing, reviews, and large refactors.
Try it: vercel.com/ai-gateway/models…
Celebrating @callstackio’s APEX launch! 🎉
I connected APEX to my Vault Terminal (callstack.com/blog/building-…) for some classic RPG gaming. 🎮
@OpenAIDevs has Codex × @modretro Chromatic.
We have @apex__ai × Vault. 😎
Still an early prototype (only one piece exists 😅).
Small company, big heart and even bigger ambitions! ❤️
I am presenting at local community meetup!
>>> meetup.com/pl-pl/sysopskato/…
Lech Kalinowski retweeted
Announcing Apex: agentic coding model for mobile and web, specialized in React.
We built Apex from a single idea: can an open-weight model deliver frontier-level performance at lower cost?
Yes. Apex is SOTA in React Native and Next.js.
Try it now: apex.callstack.com
A few photos from my Agents Commander talk at Code Europe! 😄
I spend a lot of time working with AI agents, so it was good to share what I’ve been building and how I actually use it.
Thanks to everyone who came along—and to @code_europe for having me!
I’m building something awesome. 👀
The inspiration came while on holiday with my kids—but this is the next chapter of my AI-native device project, Vault.
I’ve tested the stack with current SOTA open-weight LLMs, and it works. The ultra-compact enclosure for my custom Jetson Orin Nano Super build is now printing. Fully parametric, too—no Astra operating Blender involved. 😉
Probably my most ambitious after-hours Physical AI project yet. Still need to add a physical kill switch… just in case! 😅
I’m fascinated by how far I can push this.
Where it started:
callstack.com/blog/building-…
#PhysicalAI #OpenSource #Hardware
This is your tool for testing mobile apps with agents, any platform, simulators and devices included ⬇️
Any agent can test iPhone Duo apps for you now. No need to do it by hand.
Folded, half-open, open, all without stealing your focus or other agents sessions.
Just give them @agent_device
How does quantization affect APEX performance? 🔬
Artur Morys-Magiera @artus9033 and I shared our research at @AgentConf . We hope our findings help the community make more informed decisions about quantization.
🎥 youtu.be/XLoY8PpYXNU
344 runs. 25 days. Quantization is humbling 😅
Apex-31B BF16: 57% → 86.5% MMLU after fixing the chat template + eval harness. Same weights. Same 400 questions. 🤯
Then the payoff: IQ4_XS gave us 3.4× decode throughput and a 73% smaller file vs BF16 on DGX Spark. 🚀
@artus9033 and I talked about all of this at @AgentConf , organized by @callstackio.
For me, it’s already one of the most exciting AI conferences in Poland! 🇵🇱🔥



















