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Source channel @githubtrending · Post #15516 · Feb 23

#javascript#anthropic#anthropic_ai#anthropic_claude#claude#claude_api#claude_code#claude_code_ui#claudecode#gui#mobile_first#react#ui Cloud CLI (Claude Code UI) is a free, responsive app for desktop and mobile that lets you manage Claude Code, Cursor CLI, or Codex projects anywhere. View sessions, chat interactively, edit files with syntax highlighting, use Git tools, and run a built-in terminal—no installs needed (just run `npx @siteboon/claude-code-ui`). Enable tools safely and add optional AI task planning. This benefits you by giving a user-friendly interface over terminal CLIs, so you code, collaborate, and stay productive on any device without context switches or setup hassle. https://github.com/siteboon/claudecodeui

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Go

@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

Go

@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

GitHub Trends

@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