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소스 채널 @phpdevelopersuz · Post #3316 · 8월 21일

🚀 API Shop - API Xizmatlaringiz Uchun Eng Yaxshi Tanlov! 🌟 📲 Bizda Mavjud Xizmatlar: 1️⃣ Ijtimoiy Tarmoqlardan Media Yuklab Olish: Instagram, TikTok, Facebook, Twitter va boshqa ijtimoiy tarmoqlardan media va rasm yuklab oling. 📸🎥 2️⃣🎙 TTS (Text-to-Speech) API: Matnni ovozga aylantiring, har qanday til va ovoz variantlari bilan. Oson va tez! 🗣💬 3️⃣🎵 Shazam API: Musiqa tanish, qo'shiqlarni aniqlash va har qanday audio faylni tanib olish imkoniyati. 🎶🔍 4️⃣📁 Photolab API: Tasvirlaringizni ajoyib effektlar bilan bezang! Eng yaxshi tasvir tahrirlash API xizmati sizni kutmoqda. 🌟📸 🤖 Barcha xizmatlarimizni Telegram botimiz orqali ham ko'rishingiz mumkin:@Apishopbot 🔗 Bizning xizmatlarimizdan foydalaning va imkoniyatlardan maksimal darajada foydalaning! 🚀 🌐 Bot:@Apishopbot 📩 Bog'lanish:@bizbotsupport #API#Xizmatlar#TTS#Shazam#Fotomuhandislik#Innovatsiya

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Go

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

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. PM 04:17

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. PM 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