We finally have an OpenVMM based sandbox! MSR / AzSRG just open sourced nvx (https://t.co/X7ACDuMZOQ), a sandbox built to support most agent workloads while stripping out all unnecessary components resulting in the lightest hardware isolated uVM I've seen
๐ Prevent unauthorized data exfiltration with connection allowlists โ https://t.co/CZNCNC0UiO
Third-party scripts or AI-generated code can bypass app-level checks to send sensitive information to unauthorized servers. Connection allowlists give you explicit control over network requests by making the browser the gatekeeper of all network connections originating from your page.
Animate UI 2.0 is out ๐
Animated primitives for Radix UI, Base UI and React Aria, built with Motion.
Keep your shadcn/ui components.
โ A CLI that animates them in one command
โ An AI skill that animates anything (components, icons, interactions) and reviews your motion
๐ DeepSeek-V4.1-Flash-1017 is here!
Stronger benchmark performance, faster task completion, and shorter outputs than the previous versionโa Pareto improvement in performance and cost. Now live on our website, app, and API.
๐ ๏ธ Optimized for @DeepSeekHarness, Tencent CodeBuddy, WorkBuddy, and more. Upgrade to DeepSeek Harness v0.2.1-rc.1 or later for the best experience with the new model.
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MiniMax M3.1 Flash: Space Performance + Bunny Speed
๐๐ฐ Yes, Space Bunny - which has topped global leaderboards with 200T+ tokens - was an earlier version of M3.1 Flash.
๐ฐRedefining the performance economics of agentic AI. M3.1 Flash achieves frontier-level intelligence across key tasks such as Cowork (Automation-Bench: 62%; ALE: 30%), Coding (DeepSWE: 74%) and Visual Reasoning (BabyVision: 91%), at 1/3 the cost of M3 and 3x the speed.
API pricing (flat rate): $0.15 / $0.60 per 1M input/output tokens, with cache reads at $0.015 / 1M tokens.
Model weights will arrive on Oct 23.
API: https://t.co/fHRdSV73Hr
M Plan: https://t.co/XfJWSyauda
MiniMax Code for desktop: https://t.co/SGmLTI2HQm
10 more books I can't recommend enough:
On your way to Software Architect (Part 2)
Here's the order I'd read them in again ๐
๐ญ. ๐๐๐ป๐ฑ๐ฎ๐บ๐ฒ๐ป๐๐ฎ๐น๐ ๐ผ๐ณ ๐ฆ๐ผ๐ณ๐๐๐ฎ๐ฟ๐ฒ ๐๐ฟ๐ฐ๐ต๐ถ๐๐ฒ๐ฐ๐๐๐ฟ๐ฒ (Mark Richards, Neal Ford)
โณ The map of architecture styles and the "-ilities" behind them.
โณ First law: everything in software architecture is a trade-off.
๐ฎ. ๐ฃ๐ฎ๐๐๐ฒ๐ฟ๐ป๐ ๐ผ๐ณ ๐๐ป๐๐ฒ๐ฟ๐ฝ๐ฟ๐ถ๐๐ฒ ๐๐ฝ๐ฝ๐น๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป ๐๐ฟ๐ฐ๐ต๐ถ๐๐ฒ๐ฐ๐๐๐ฟ๐ฒ (Martin Fowler)
โณ The reference for problems you hit in almost every app.
โณ After it, you'll spot these patterns in code you own.
๐ฏ. ๐ ๐ถ๐ฐ๐ฟ๐ผ๐๐ฒ๐ฟ๐๐ถ๐ฐ๐ฒ๐ ๐๐ฒ๐๐ถ๐ด๐ป ๐ฃ๐ฎ๐๐๐ฒ๐ฟ๐ป๐ ๐ถ๐ป .๐ก๐๐ง (Trevoir Williams)
โณ Saga, CQRS, and API Gateway in real .NET code.
โณ The new edition is updated for .NET 10 and C# 14.
๐ฐ. ๐๐ผ๐บ๐ฎ๐ถ๐ป-๐๐ฟ๐ถ๐๐ฒ๐ป ๐ฅ๐ฒ๐ณ๐ฎ๐ฐ๐๐ผ๐ฟ๐ถ๐ป๐ด (Alessandro Colla, Alberto Acerbis)
โณ How to apply DDD to the legacy monolith you already have.
โณ Step by step: from a big ball of mud to modules and microservices.
๐ฑ. ๐ฃ๐ฟ๐ฎ๐ฐ๐๐ถ๐ฐ๐ฎ๐น ๐๐๐ฒ๐ป๐-๐๐ฟ๐ถ๐๐ฒ๐ป ๐ ๐ถ๐ฐ๐ฟ๐ผ๐๐ฒ๐ฟ๐๐ถ๐ฐ๐ฒ๐ ๐๐ฟ๐ฐ๐ต๐ถ๐๐ฒ๐ฐ๐๐๐ฟ๐ฒ (Hugo Filipe Oliveira Rocha)
โณ The real pain of events: ordering, duplicates, eventual consistency.
โณ Shows how to keep data in sync when every service owns its own.
๐ฒ. ๐ฆ๐ผ๐ณ๐๐๐ฎ๐ฟ๐ฒ ๐๐ฟ๐ฐ๐ต๐ถ๐๐ฒ๐ฐ๐๐๐ฟ๐ฒ: ๐ง๐ต๐ฒ ๐๐ฎ๐ฟ๐ฑ ๐ฃ๐ฎ๐ฟ๐๐ (Neal Ford, Mark Richards, Pramod Sadalage, Zhamak Dehghani)
โณ How to split a system and its data when there's no best answer.
โณ Sagas, data ownership, and service size, with clear trade-off tables.
๐ณ. ๐ฆ๐๐๐๐ฒ๐บ ๐๐ฒ๐๐ถ๐ด๐ป ๐๐ป๐๐ฒ๐ฟ๐๐ถ๐ฒ๐, ๐ฉ๐ผ๐น. ๐ญ (Alex Xu)
โณ A 4-step framework to design any system.
โณ Rate limiter, URL shortener, chat. Classic problems, clear diagrams.
๐ด. ๐ฆ๐๐๐๐ฒ๐บ ๐๐ฒ๐๐ถ๐ด๐ป ๐๐ป๐๐ฒ๐ฟ๐๐ถ๐ฒ๐, ๐ฉ๐ผ๐น. ๐ฎ (Alex Xu, Sahn Lam)
โณ Harder cases: payment system, digital wallet, stock exchange.
โณ Worth reading even if you never plan to interview.
๐ต. ๐๐ฟ๐ฐ๐ต๐ถ๐๐ฒ๐ฐ๐๐ถ๐ป๐ด ๐ณ๐ผ๐ฟ ๐ฆ๐ฐ๐ฎ๐น๐ฒ (Lee Atchison)
โณ How to keep high availability as traffic and teams grow.
โณ Teaches you to measure and manage risk, not hope it away.
๐ญ๐ฌ. ๐ฆ๐ถ๐๐ฒ ๐ฅ๐ฒ๐น๐ถ๐ฎ๐ฏ๐ถ๐น๐ถ๐๐ ๐๐ป๐ด๐ถ๐ป๐ฒ๐ฒ๐ฟ๐ถ๐ป๐ด (Betsy Beyer, Chris Jones, Jennifer Petoff, Niall Richard Murphy)
โณ How Google keeps huge systems running: SLOs and error budgets.
โณ Architecture doesn't end at deploy. This book starts there.
๐ ๐ข๐ป๐ฒ ๐๐ถ๐ฝ ๐ณ๐ฟ๐ผ๐บ ๐บ๐ ๐ฒ๐ ๐ฝ๐ฒ๐ฟ๐ถ๐ฒ๐ป๐ฐ๐ฒ:
Before you read about a pattern, find where your project needs it.
Books stick when you have a real problem to solve.
Which of these have you read, and which one helped you the most?
15 AI Research Voices on X
@amaarora= AI papers explained through code.
@cwolferesearch= Clear, in-depth LLM research breakdowns.
@sedielem =Diffusion models explained deeply.
@MaartenGr= Complex AI made visual.
@seb_ruder =NLP and multilingual AI insights.
@Tim_Dettmers= Quantization and efficient LLMs demystified.
@arankomatsuzaki= Research papers distilled into takeaways.
@srush_nlp= Transformers explained with hands-on code.
@ai_explorer25= New AI tools, peoples and ai commentary
@rasbt= LLM research translated into practical code.
@natolambert= RLHF and post-training unpacked.
@eugeneyan= AI research meets real-world systems.
@sh_reya= AI evaluation beyond benchmark scores.
@HamelHusain= Practical, no-nonsense AI evaluation.
@ch402= Neural networks decoded from within
Cloudflare open-sourced the security audit skill that seeded its own vulnerability hunting harness. Your coding agent can now run it on your code.
How it works, in 6 phases:
โ maps your codebase
โ hunts for bugs area by area so nothing gets skipped
โ sends every finding to a fresh agent that didn't find it, to confirm it's real
โ writes structured results
โ verifies each record again, independently
โ writes the final report
You get a findings file split into confirmed, needs validation and rejected, so you fix the real problems first.
Install:
npx skills add https://t.co/ptOfJggqQB --skill security-audit
Then open your agent in your project and type: "security audit this codebase"
MIT licensed, 31.3K stars.
Odinstaloval jsem Docker Desktop a mรญsto nฤj zaฤal pro vรฝvoj linux vฤcรญ z Macu pouลพรญvat nativnรญ Apple Containers a je to supr - pamฤลฅovรก nรกroฤnost ลกla dolลฏ, IO pro diskovรฉ operace je nฤkde รบplnฤ jinde. Pro UI management doporuฤuju Davit...
I tried @t3dotcodes for the first time after seeing a random post of someone talking about seamless subagent integration with other AI agent vendors, and it is actually including mobile app integration via t3 connect. Works smoothly with the personal harness as well. I'm gonna spend more time with it.
DeepSeek V4.1-Flash-1017 has released, beating GPT 5.6 Sol on Terminal-Bench while being ~17x cheaper.
It improves the previous DeepSeek V4.1-Flash result by 35%, accomplished with "no algorithmic innovation" but instead by RL training it on multiple coding agent harnesses.
Claude writes about 90% of Claude Code's code.
From June to September, merged PRs more than doubled while the share reverted fell by more than 40%.
We wrote about how we changed code review to get there, and how to adopt it:
https://t.co/9sZe64g3mb
We keep improving performance across Claude, and you may have noticed it starts responding sooner!
Claude Code now gzips the conversation it sends on every turn, so it reaches the model faster. Cloud sessions also start up as soon as you start typing.
๐ DeepSeek-V4.1-Flash-1017 is here!
Stronger benchmark performance, faster task completion, and shorter outputs than the previous versionโa Pareto improvement in performance and cost. Now live on our website, app, and API.
๐ ๏ธ Optimized for @DeepSeekHarness, Tencent CodeBuddy, WorkBuddy, and more. Upgrade to DeepSeek Harness v0.2.1-rc.1 or later for the best experience with the new model.
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