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Canale sorgente @WritingWay · Post #1369 · 24 ago
LA PALESTRA DELL'EDITING #scrittura#editing Se vuoi davvero apprendere l'editing, la revisione dei testi 🖌🖍devi conoscere le differenze tra un testo e l'altro perché l'editing varia in base a ciò su cui lavoriamo; 🖌🖍 è necessaria tanta pratica e allenamento, si impara in particolare affrontando le diverse casistiche; 🖌🖍 bisogna conoscere le tecniche narrative, come si struttura un'opera, come si verifica lo sviluppo argomentativo. A ottobre parte la seconda edizione del corso online LA PALESTRA DELL'EDITING, scopri tutte le info. 🔔⏰ Fino al 15 settembre potrai usufruire della tariffa agevolata. @writingway 🙌 Se pensi che questo post e questo evento possano interessare ad altri, inoltralo cliccando sulla freccia a destra.
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Cerca: #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