🧹Hamma uchun tarixni tozalash – Android uchun Telegram’ning beta-versiyasida endi siz nafaqat o‘zingiz, balki barcha ishtirokchilar uchun guruh suhbati tarixini tozalashingiz mumkin. Xabarlarni hamma uchun tozalash imkoniyati faqat guruh egasi uchun mavjud. Eslatma: biz xozirda chat tarixini tozalash uchun turli botlardan foydalanamiz. Ushbu imkoniyat faqat superguruhlarda ishlaydi va tez kunda Telegramga qo'shilishi kutilmoqda. #Android#beta 💚@TGraphUz | YouTube
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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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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 · 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