TGINSIGHT SIMILAR POSTS
Source channel @githubtrending · Post #14806 · Jun 8
#other Here’s a simple summary of the most important information and its benefit to you get enough good sleep, avoid smoking, move your body every day, and eat less sugar—doing just these four can make a big difference. The text also shares tips from neuroscience, like getting sunlight in the morning to help wake up and feel better, and avoiding bright lights at night to sleep well. Eating mostly plants and fermented foods helps your gut and immune system, while timing your meals (like eating in an 8-hour window) can boost your health and even help you live longer. The text also explains how your brain’s chemicals, like dopamine, affect your mood and motivation, and how you can use simple tricks—like taking breaks, trying new things, or doing light exercise—to stay focused and happy. The benefit is that you can feel better, think clearer, and stay healthier by making small, smart changes to your daily routine. https://github.com/zijie0/HumanSystemOptimization
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@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