TGINSIGHT SIMILAR POSTS
Source channel @githubtrending · Post #15566 · Mar 16
#typescript#claude_code#ide#obsidian#obsidian_plugin#productivity Claudian is an Obsidian plugin that embeds Claude Code as your AI collaborator, turning your vault into its workspace for reading/writing files, searching, running bash commands, analyzing images, and multi-step tasks. Key features include context-aware chats with @mentions, inline edits, custom instructions (#), slash commands (/), skills, agents, vision support, plan mode for safe previews, and security options like YOLO/Safe/Plan. Install via GitHub release or BRAT after setting up Claude Code CLI. This boosts your productivity by automating note edits, generating insights from your vault, and handling complex workflows seamlessly without leaving Obsidian. https://github.com/YishenTu/claudian
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