TGINSIGHT SIMILAR POSTS
Source channel @githubtrending · Post #15431 · Jan 23
#cplusplus#3d_engine#arm64#cmake#cplusplus#cpp17#d3d11#directx#directx11#engine#game#game_engine#gamedev#mod#opengl#opensource#sdl#sdl2#stalker#x64#xray_engine OpenXRay is a free, improved version of the X-Ray Engine for S.T.A.L.K.E.R. games like Call of Pripyat and Clear Sky. It adds 64-bit support, higher FPS, bug fixes, modding tools, and runs on Linux, macOS, and more. This benefits you with smoother, more stable gameplay, better performance on modern or non-Windows PCs, and easy access to new mods without changing the classic feel. https://github.com/OpenXRay/xray-16
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