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Source channel @TossLabChannel · Post #672 · 5月12日

#LinuxDo#浏览器脚本#论坛增强 LinuxDo Scripts:为 LinuxDo 论坛量身打造的增强脚本合集 由 dlzmoe 开发的 LinuxDo Scripts 是一套专为 LinuxDo 社区打造的浏览器增强脚本,涵盖浏览体验优化、互动增强、内容管理与 AI 智能辅助等多维度功能。 支持话题预览、快捷回复、“只看楼主”、黑夜模式、中英文混排优化等,同时内置 AI 总结与自动回帖等实用能力,并允许自定义皮肤与样式。 适用于提升重度用户的浏览效率与论坛参与体验。 🔘@TossLab🔘@TossLabChannel 🔘折腾系列频道 - 全面介绍 🔘境外离岸银行教程合集目录 🔘折腾实验室优质Github项目合集 🔘大流量卡三大运营商推荐合作店

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Go

@golang · Post #58 · 2018/04/22 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

Go

@golang · Post #64 · 2018/06/21 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

GitHub Trends

@githubtrending · Post #15382 · 2026/01/01 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