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Chaîne source @OnePlusGuide · Post #3144 · 2 juil.
🔻OXYGEN OS E COLOR OS UNISCONO LA CODEBASE🔻 #OP#OPPO#OOS#COLOR Dopo la notizia della condivisione di alcune risorse tra OnePlus e Oppo, arrivano i primi risultati. D'ora in avanti, OxygenOS e ColorOS uniranno la codebase. Ma cosa significa? Il nucleo del sistema sarà lo stesso in tutte e due le ROM, ma si tratta di cambiamenti interni, non visibili all'utente comune. Se le due ROM cominceranno ad assomigliarsi in grafica e funzioni, quello sarà un altro discorso. Il beneficio di questa mossa è uno: gli aggiornamenti. OnePlus ha comunicato la nuova politica di manutenzione software per i suoi dispositivi, che si articola così: 🔸Flagship (da Serie 8): 3 aggiornamenti di Android e 4 anni di patch 🔸Nord, Nord CE e flagship vecchi: 2 aggiornamenti di Android e 3 anni di patch 🔸Nord serie N: 1 aggiornamento di Android e 3 anni di patch Pierre — Il nostro canale 👉🏻@oneplusguide I nostri gruppi 👉🏻@oneplusitcommunity
Recherche : #runtime
@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
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@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
@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