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Source channel @olddriverGDstudy · Post #58 · Mar 27

#风哥避孕套如何选择课堂笔记 都说了多少遍了,别TMD买冈本,冈本TMD容易破 油少,一样的价钱不会买旁边的相模啊,玻尿酸套子也有缺点虽然润但是时间久了干的快,沐浴乳我不挑但是有一个沐浴乳我拒绝 ,力士的薰衣草真的不好闻,冈本最大的问题就是他油放的少拿出来就干,要润就玻尿酸 然后赤尾有小储精囊跟无储精囊套 要感觉我都是用浮点的,浮点套女的感觉来得快,有些人就马眼有感觉的这么办 不过无储精囊适合做多了跟射精量不大的用要不然会破的,超市就买杜蕾斯 杰士邦 相模,淘宝你看中啥买啥,然后小科普 0.01都是聚氨酯套 其他的都是乳交套,名流的玻尿酸套还是不错的,套子我是不追求的薄的,套子主要是为了安全还有就是润,很多套子很润但是油少玻尿酸少了也不行,像玻尿酸套子虽然很润但是也干的快,捷古斯也算日本大牌了,蝴蝶套一个形容 牌子叫捷古斯 因为包装上印着蝴蝶,买啥套子真的是最啥太大追求就用JS的套子 干了就跟JS说换个套子 #知识#避孕套

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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