TGINSIGHT SIMILAR POSTS
Chaîne source @OnePlusGuide · Post #3099 · 30 mars
🔻ROM DI ONEPLUS 9 E 9 PRO DISPONIBILI AL DOWNLOAD🔻 #OP9#OP9PRO#OOS#DOWNLOAD Come per ogni altro telefono, vi fornirò il download di ogni OxygenOS che potrebbe mai servire anche per i nuovi 9 e 9 Pro. I canali saranno sempre gli stessi: 🔸Sito: ideale se dovete scaricarle dal telefono 🔸App: ideale per scaricarle dal computer Le ROM disponibili, per chi di voi è nuovo, saranno: 🔸Stabile: ultimo ZIP della stabile EEA disponibile 🔸Beta: ultimo ZIP dell'Open Beta disponibile 🔸Rollback: pacchetto stabile che formatta il telefono, ideale per passare da beta a stabile 🔸EDL: tool per ripristinare completamente il telefono Al momento solo la stabile è disponibile, le altre arriveranno non appena avrò un link. 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
Hashtags
@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