Alex

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Alex

Alex

@alexUX_UI

🧡 AWS Cert. Solutions Architect 🔬 Web technologist 🧩 Module Federation 🦀 Rust 💜 Wasm 🇨🇴 Tiene mi corazón

Denver, CO شامل ہوئے Aralık 2013
2.5K فالونگ1.4K فالوورز
پن کیا گیا ٹویٹ
Alex
Alex@alexUX_UI·
Combined three(!) of my favorite technologies over the weekend: 1) @webpack Module Federation 2) Rust-flavored Wasm 3) @reactjs Check out how they all come together to create Conways Game of Life here: github.com/alexUXUI/wasm-…
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Alex@alexUX_UI·
Is there any better feeling than seeing those around you thriving, shining, becoming their highest potential in real-time? 🥹
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Alex@alexUX_UI·
@2twitme @MLflow Thanks so much @2twitme are you gonna be in SF for the databricks conf this year?
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Alex@alexUX_UI·
. @MLflow homies, are you all working on a Skill registry by chance? Maybe an overloaded prompt registry?
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Alex@alexUX_UI·
Re: AI exhaustion & empathy. I'm trying to replace AIs authoritative tone with a curios one. Idea is that it is exhausting to manage such unfounded confidence for fear others may see this posturing as proof.
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Adam
Adam@adamdotdev·
I’m going through the craziest burnout I’ve experienced in my ~17 year career I’ve been sick for 16 days now, haven’t even been able to go for walks I kind of fucking hate AI I think all of these things are related
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Brad Garropy
Brad Garropy@bradgarropy·
@kentcdodds I think you are reaching a similar conclusion to us over @cloudflare. The engineer's role is shifting more towards product. We have been referring to this as "outcomes engineering". o16g.com
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Alex
Alex@alexUX_UI·
Outcome Engineering 🧡🔥
Brad Garropy@bradgarropy

@kentcdodds I think you are reaching a similar conclusion to us over @cloudflare. The engineer's role is shifting more towards product. We have been referring to this as "outcomes engineering". o16g.com

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Dmytro Krasun
Dmytro Krasun@DmytroKrasun·
I made SpaceTimeLoom.com to explain gravity to my kids. They can just play with mass and see how it bends space. You don’t have to explain concepts anymore. You can build them!
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sunil pai
sunil pai@threepointone·
a strange change happening to the sdlc, driven by pi.dev extensions, and now in cloudflare because of dynamic workers + artifacts + think etc previously: check out code, make changes, deploy, repeat the new way: deploy first(!), and make changes in production, per user, repeat fully there. this is remarkable for the future for personal software. things that can build themselves.
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Zack Chapple
Zack Chapple@Zackary_Chapple·
Surrounding ourselves with epic folks makes the journey much more fun
Debbie O'Brien@debs_obrien

I’m excited to share that I’ve started a new role as Platform Engineer – Applied AI at @ZephyrCloudIO 🚀 I’ll be working at the intersection of AI, infrastructure, and developer experience, helping shape how we build, evaluate, and scale agentic workflows. I’m especially excited about what we’re building with Zephyr Agency: a new approach to working with AI agents. More coming soon 👀 Looking forward to sharing more about what I’m working on soon. Stay tuned.

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Tanner Linsley
Tanner Linsley@tannerlinsley·
If AI reading your open source code hurts your business, you were likely using "open source" as a growth strategy instead of a philosophy. And closing it now doesn't make you secure. It just means fewer good-faith developers hardening your code, and more bad actors pointing AI at your production servers.
Bailey Pumfleet@pumfleet

Open source is dead. That’s not a statement we ever thought we’d make. @calcom was built on open source. It shaped our product, our community, and our growth. But the world has changed faster than our principles could keep up. AI has fundamentally altered the security landscape. What once required time, expertise, and intent can now be automated at scale. Code is no longer just read. It is scanned, mapped, and exploited. Near zero cost. In that world, transparency becomes exposure. Especially at scale. After a lot of deliberation, we’ve made the decision to close the core @calcom codebase. This is not a rejection of what open source gave us. It’s a response to what risks AI is making possible. We’re still supporting builders, releasing the core code under a new MIT-licensed open source project called cal. diy for hobbyists and tinkerers, but our priority now is simple: Protecting our customers and community at all costs. This may not be the most popular call. But we believe many companies will come to the same conclusion. My full explanation below ↓

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Alex
Alex@alexUX_UI·
How I imagine the Internet Engineering Task Force (IETF)
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Alex@alexUX_UI·
@kentcdodds @jnd1er Designing intelligent product experiences: beyond the chat box
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Tanner Linsley
Tanner Linsley@tannerlinsley·
Finally, @Tan_Stack Start now supports React Server Components! Start's RSCs are a truly fetchable, cacheable and composable primitive that work with your favorite tools instead of dictating your entire architecture. Oh, and one more thing... "Composite Components" 😉 🔗⬇️🧵
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Zack Chapple
Zack Chapple@Zackary_Chapple·
I wonder how much the full content actually goes through how to solve this or if @FrontendMasters is just trying to rage bait to get more people to subscribe. This is easily solved with Module Federation
Frontend Masters 💻✨@FrontendMasters

The micro frontend trap 🪤 You split everything up, feel great about your architecture, then realize the Context API only works within a React tree. More autonomy. More problems. 😅 From our course: Enterprise UI Development: Microfrontends, Testing, & Code Quality

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Thomas O'Duffy
Thomas O'Duffy@ThomasODuffy·
@techNmak Anyone who "believed" Dijkstra's algorithm was optimal for sparse graphs wasn't actually listening to what Dijkstra explained about quality thinking preceding programming.
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Tech with Mak
Tech with Mak@techNmak·
For 38 years, computer scientists believed Dijkstra's algorithm was optimal for sparse graphs. The logic seemed airtight: Dijkstra sorts vertices by distance. Sorting has a lower bound of O(n log n). Therefore shortest paths can't be faster. 5 researchers proved the assumption wrong. The trick: combine Dijkstra's priority queue with Bellman-Ford's dynamic programming. Divide and conquer on vertex sets. Shrink the frontier. Result: O(m log^(2/3) n) First improvement for directed graphs since Fibonacci heap in 1987. Tsinghua. Stanford. Max Planck. 17 pages.
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Alex
Alex@alexUX_UI·
@AhmedShahnab yooo I love this concept so much
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Alex ری ٹویٹ کیا
Ben Dicken
Ben Dicken@BenjDicken·
*Finally* read through @samwhoo's blog on LLM quantization. It's incredible. For many (even in tech) the understanding of how LLMs work stops at the surface level. Sam is helping us all go deeper, digging into the interesting facets of how AI models truly work. Read it!
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