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Chaîne source @OnePlusGuide · Post #2740 · 22 août
🔻IL GLOSSARIO DEL MODDING🔻 #ONEPLUSNORD#MODDING Nei nostri gruppi abbiamo notato che c'è un numero abbastanza importante di utenti che vorrebbe iniziare a fare i primi passi nel mondo del Modding ma non sa da dove partire. Noi di OnePlus IT Staff abbiamo pensato di fornirvi quello che noi amiamo chiamare "il Glossario del Modding" che racchiude, in un elenco con annessa descrizione, tutti i termini e/o concetti che sono la base del Modding, in maniera tale da fornirvi la formazione di base per poter capire come il Modding può migliorare l'esperienza d'uso del vostro dispositivo. N.B. Il post sarà in continuo aggiornamento da qui in avanti, perciò assicuratevi di dargli un'occhiata ogni tanto! 🔸 Il Glossario del Modding Pit — Il nostro canale 👉🏻@oneplusguide I nostri gruppi 👉🏻@oneplusitcommunity
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@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