TGINSIGHT SIMILAR POSTS
Source channel @githubtrending · Post #14882 · Jun 29
#vue#english_learn#learn_english#memorizing_words#typing#typing_game#typing_practice#typing_word#typingspeedtest Typing Word is a free online tool to help you memorize and practice English words and articles. You can choose to learn words by typing or listening, with options for American or British pronunciation and error tracking. It includes features like a vocabulary notebook for new or difficult words, and a mode that repeats mistakes until you get them right. You can also practice classic texts or add your own articles with translation help. It supports many word lists for exams like CET, GRE, IELTS, TOEFL, and even programming terms. This tool helps you improve your English vocabulary and typing skills efficiently and interactively. https://github.com/zyronon/typing-word
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