TGINSIGHT SIMILAR POSTS
Source channel @githubtrending · Post #15034 · Aug 7
#javascript#antd#music#music_player#nodejs#react#react_router#redux#webapp#webpack Copper Bell is a free website app focused on listening to music. It offers many songs and has a simple, clean design that makes it easy to find and play your favorite music. You can search for songs, make playlists, read scrolling lyrics, save songs, and create your own song lists. It does not have live broadcasts, social features, or ads, so there are no distractions and you get a pure music experience. You can use it on any modern web browser without installing anything. It works on many devices, including tablets. This way, you can enjoy music, manage your songs, and discover new tunes easily anytime and anywhere. https://github.com/enzeberg/tonzhon-music
Search: #runtime
@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
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@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
@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