dev stuff @aws // Python + JavaScript engineer // tweets my own
Seattle, WA
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we're chatting about the new AWS getting started experience on spaces!
ask product and engineering leadership about sign up with Google/GitHub, no credit card requirement for most users, agent-first DX, abstraction around IAM, spend limits! 🚀
x.lingyaoai.com/i/spaces/1RKZzBmMwANKB
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the new AWS getting started experience x.lingyaoai.com/i/spaces/1RKZzBmMwANKB
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Ali Spittel retweeted
TL;DR sign up with Google/GitHub, no credit card for most users, agent-first DX, abstraction around IAM, spend limits 🚀
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Strands Decider 2B, a small, open-source decision model, perfect for experimentation but capable enough for real work: strandsagents.com/blog/intro…
We've open sourced the whole recipe, with all the training data, code, and log of what we learned along the way: github.com/strands-labs/stra…
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👀 check it out: github.com/strands-labs/stra…
🚀 Meet Strands Decider 2B, a small open source decision model built for fast experimentation and local development: strandsagents.com/blog/intro…
It's part of a new class of decision models. Unlike reasoning models that generate open-ended text, Strands Decider 2B picks between options and assigns confidence scores. Decision models are faster and more capable at a given size, always produce an answer from the selected options, and can run with very low latency.
Strands Decider 2B is a 2 billion parameter model that runs on a local CPU or GPU and can return answers to meaningful questions in tens of milliseconds. On accuracy and calibration, it ranks second among public models in its ~2 billion parameter class, and first among those that share their full training recipe.
We're already seeing early success with model routing, tool selection, guardrails, evals, and hybrid agents that pair LLMs for the hard calls with decider models for the rote ones. Grab the code on GitHub and the latest snapshots on HuggingFace, and tell us what you build.
This space is super early and we are experimenting with different variants of these models, so give it a spin and give us feedback!
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sign in with GitHub/Google
many folks won't need to enter a credit card
set up your coding agent
simpler console experience
set up spend limits
it's easier than ever to build on AWS 🚀
aws.amazon.com/blogs/aws/aws…
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i'm so excited to share one of the most exciting projects i've gotten to work on through my career.
i hope this makes it so that more people love building on AWS 💜
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psa as we enter fall - office workers who work away from windows have significantly worse mental health than folks whose desks are near windows.
firing up my seasonal depression 10k lux lamps in my office every day.
pmc.ncbi.nlm.nih.gov/article…
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Ali Spittel retweeted
¡No te pierdas este workshop! 🚀
Con @anacunha vas a crear y publicar tu propia app en la nube desde cero con la nueva experiencia AWS.
¡Salís con un proyecto personal online y podés ganar premios! Sumate en nerdear.live
#Nerdearla 🇦🇷
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Claude Opus 5 scores 30% on ARC-AGI-3 on its own. Wrapped in an agent harness built with Strands, it scored 99.95%. I dug through the open source code to see how it works:
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i cannot function on a computer without spectacle or a similar window management tool. literally the first thing i install.
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i really don't want to use your agent, i want to use my agent to use your thing.
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It all comes down to this. 🎬
The season finale of The Full Stack drops today and our final three teams are bringing everything they've got.
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You can now give an agent rules like: pay, but only $10 per transaction and $100 per day. Delete, but only after a backup exists.
They're enforced at the gateway, outside the agent's own code, so a clever prompt can't undo them.
How it works 👇
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Ali Spittel retweeted
1/ Introducing Kiro Crew. 👻
An open source, persistent development workspace that runs on your hardware and works wherever you are. It started as an internal tool called MeshClaw, shaped by hundreds of contributors across the company. Now it’s yours to build on too.
Read the full story → spr.ly/6016BEhBkK
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