TGINSIGHT SIMILAR POSTS
Saluran sumber @AlanBimbatiBlog · Post #607 · 5 Jan
🗿 Un abbraccio a Satoshi Nakamoto 📍 A Lugano (Svizzera), è stata realizzata di recente un'opera d'arte che celebra il fondatore di Bitcoin. 🔍 La caratteristica unica di questa statua è che si vede solo da una prospettiva, attraverso il codice. Questo simboleggia l'anonimato di Satoshi Nakamoto, permettendo di vedere la sua "anima" attraverso il suo operato. 👤 Satoshi Nakamoto è infatti il fondatore di Bitcoin. Dal 31 ottobre 2008, nessuno sa ancora chi sia realmente, eppure tutti possono vedere che non ha mai mosso i suoi Bitcoin dopo la prima e ultima transazione prima della sua scomparsa. #Bitcoin
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Cari: #runtime
@golang · Post #58 · 22/04/2018, 08:22 PTG
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, 04:17 PTG
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 PTG
#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