TGTGInsighttelegram intelligenceLIVE / telegram public index
← mariinavo

TGINSIGHT SIMILAR POSTS

Etsi samankaltaista sisältöä

Lähdekanava @mariinavodesign · Post #708 · 12.6.

Эффект Liquid Glassв Figma — как в новом обновлении от Apple 🪄 В комментариях — инструкция, как собрать эффект вручную А для тех, кто на платформе Ready? Set. Create!, доступен шаблон этого эффекта в разделе Шаблоны Figma — его можно дублировать в свой проект и сразу применить 🫰🏼 #figma@mariinavodesign

Hashtags

Tulokset

3 samankaltaista julkaisua löydetty

Haku: #runtime

当前筛选 #runtime清除筛选
Go

@golang · Post #58 · 22.04.2018 klo 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 · 21.06.2018 klo 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 · 01.01.2026 klo 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