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Source channel @olddriverGDstudy · Post #13 · Mar 17

#秀哥语录 2020.12.27【撩妹模板】#撩妹#语录 告诉你们一个小秘密 没事多去逛逛有年轻漂亮老板娘的美甲店 不要问我为什么 小姐姐 我买几瓶指甲油送给喜欢的人 买好付完钱送给老板娘 你就是我喜欢的人 你可以直白的告诉老板娘 其实我已经关注你好久了 第一次见到你 就有种心跳的感觉 我已经好多次想进来了 就是不知道怎么和你搭讪 可是 你的身影实在挥之不去 我今天忍不住了 豁出去了 就想告诉你 我真的好喜欢你 能不能加个好友

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Go

@golang · Post #58 · 04/22/2018, 08:22 PM

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

Go

@golang · Post #64 · 06/21/2018, 04:17 PM

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

GitHub Trends

@githubtrending · Post #15382 · 01/01/2026, 12:30 PM

#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