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Source channel @devilsbelow · Post #629 · Mar 9

🌐Weekly News Digest [ March 2 – March 8 ] That was a week when a wider Gulf war sent oil prices jumping, while Central Africa’s mineral struggle spilled into sanctions and landslides. 💡...And here are more key highlights: 🇨🇩 DR Congo — A landslide at the Rubaya mine leaves hundreds of people dead — A third Rubaya-area landslide in 38 days hits Gakombe after heavy rains 🇬🇭 Ghana — Ghana faces joint US-China pressure to drop a 5%-12% gold royalty scale 🇳🇪 Niger — Niger cancels three gold-refinery agreements after repeated alleged contract breaches 🇳🇬 Nigeria — Nigeria signs a $1.3bn alumina refinery pact with AFC — Ogoniland groups say oil restart must wait for cleanup and justice 🇷🇼 Rwanda — The US sanctions Rwanda’s army and four officers over support for M23 🇿🇦 South Africa — South Africa expands illegal-mining raids and lines up military support 🇿🇲 Zambia — Kasumbalesa bridge collapse cuts Congo’s main copper export route to southern ports 🇿🇼 Zimbabwe — A Zimbabwe court jails a Chinese mine supervisor five years over a gold panner’s killing 🌍 Global — Oil prices jump 12% as Gulf escalation triggers fuel-supply fears #NewsDigest ✈️ Stay informed - @devilsbelow

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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