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Chaîne source @OnePlusGuide · Post #2749 · 26 août

🔻E SE OXYGENOS SI FOSSE CHIAMATA IN UN ALTRO MODO? 🔻 #OP#OOS Molti di voi si ricorderanno OnePlus One, uscito sul mercato con CyanogenOS. A fine 2014, OnePlus annunciò la sua ROM proprietaria per questo One e indisse un concorso nella community per sceglierne il nome. Ecco alcune delle alternative proposte dagli utenti: 🔸Opus 🔸NomadOS 🔸CosmOS 🔸Muse 🔸Karma 🔸OnePlus ROM 🔸StratOS 🔸Carbon 🔸ElementOS 🔸DaVinci Che dite? Avreste preferito qualcuno di questi al posto di OxygenOS? Pierre — Il nostro canale 👉🏻@oneplusguide I nostri gruppi 👉🏻@oneplusitcommunity

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Recherche : #runtime

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Go

@golang · Post #58 · 22/04/2018 20:22

Why are goroutines not lightweight threads? Kartik Khare shows us his meaning about goroutines, lightweight threads and their difference in GoLang. There are no code examples inside but good thoughts about parallelism, threads and useful links at the end of the article :) #development#runtime#language https://codeburst.io/why-goroutines-are-not-lightweight-threads-7c460c1f155f

Go

@golang · Post #64 · 21/06/2018 16:17

Hi there! Which ways do you use to avoid memory leaks for REST API? In the following article by Iman Tumorang describes an excellent example of memory leaks, his solution, and results. Must have to read for everyone 😉 #development#runtime#architecture https://hackernoon.com/avoiding-memory-leak-in-golang-api-1843ef45fca8

GitHub Trends

@githubtrending · Post #15382 · 01/01/2026 12:30

#jupyter_notebook#agent#agentic_ai#agents#authentication#bedrock#core#gateway#identity_management#memory_management#production_code#runtime Amazon Bedrock AgentCore lets you build, deploy, and run AI agents securely at scale with any framework like CrewAI or LangGraph and any model, without managing complex infrastructure. It offers serverless runtime for long tasks up to 8 hours, gateway to connect tools like Slack or APIs easily, memory for personalized experiences, identity management, built-in code interpreter and browser tools, plus observability. This saves time by skipping heavy setup, speeds prototypes to production, cuts costs with pay-per-use, and boosts security—helping you create powerful agents faster for real business needs. https://github.com/awslabs/amazon-bedrock-agentcore-samples