Goroutines, Channels, Concurrency, Standard Library

What Changed? Pin-pointing behavior shift
world.hey.com·4h·
Discuss: Hacker News
🧠Machine Learning
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Self play and autocurricula in the age of agents
amplifypartners.com·15h·
Discuss: Hacker News
💬Prompt Engineering
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We built an AI that does the tasks no human likes to repeat — meet Codedoc
everdone.ai·1d·
Discuss: DEV
📚Technical Writing
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What we learned running the industry’s first AI code review benchmark
devinterrupted.substack.com·4d·
Discuss: r/programming
📊Performance Tools
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Preventing AI Project Failures Through Effective Prompt Engineering
launchdarkly.com·2d·
Discuss: DEV
💬Prompt Engineering
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Announcing the Agent Development Kit for Go: Build Powerful AI Agents with Your Favorite Languages
developers.googleblog.com·3d
☸️Kubernetes
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Tech With Tim: 7 Python Anti Patterns to Avoid
dev.to·9h·
Discuss: DEV
💬Prompt Engineering
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C++26 std::execution vs. Rust's async/rayon: Two different philosophies for the future of concurrency?
reddit.com·5d·
Discuss: r/rust
🦀Rust Async
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Showcasing three recent improvements to Anvil
dev.to·4h·
Discuss: DEV
🌐Web Development
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TimeSense:Making Large Language Models Proficient in Time-Series Analysis
arxiv.org·10h
⏱️Time Series Analysis
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TypeScript Rewrote Itself in Go?! What That “10x Faster” Hype Really Means
dev.to·6d·
Discuss: DEV
🦕Deno
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UAV-Assisted Resilience in 6G and Beyond Network Energy Saving: A Multi-Agent DRL Approach
arxiv.org·10h
🕸️Mesh Networks
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DLER: Doing Length pEnalty Right - Incentivizing More Intelligence per Token viaReinforcement Learning
paperium.net·2d·
Discuss: DEV
💬Prompt Engineering
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Rewiring Experts on the Fly:Continuous Rerouting for Better Online Adaptation inMixture-of-Expert models
paperium.net·1d·
Discuss: DEV
📱Edge AI
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On the Mechanisms of Collaborative Learning in VAE Recommenders
arxiv.org·10h
🧮Vector Databases
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Minimal and Mechanistic Conditions for Behavioral Self-Awareness in LLMs
arxiv.org·1d
💬Prompt Engineering
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💻Your GitHub Speaks Louder Than Your Resume: A Tiger Cloud Story🐅
dev.to·1d·
Discuss: DEV
ClickHouse
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Quantifying Edits Decay in Fine-tuned LLMs
arxiv.org·10h
📊Profile-Guided Optimization
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How We Integrated Licensed Fleets into a Global Ride-Hailing Platform
dev.to·19m·
Discuss: DEV
🏙️Smart Cities
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The Best LLM and AI Orchestration Toolkits for Your Stack
dev.to·1d·
Discuss: DEV
🦙Ollama
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