Symbolic Execution, Program Analysis, Bug Finding, LLVM-Based

Digest #188: Kubernetes Retires ingress-nginx, Netflix Scales Logging to Petabytes, and What Anthropic Really Spends on AWS
devopsbulletin.comΒ·1d
πŸ”§DevOps
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Cursor's Composer Model Surprised Me
sawyerhood.comΒ·2dΒ·
Discuss: Hacker News
πŸš€Performance
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Empirical Taste
ajaysquest.beehiiv.comΒ·1dΒ·
Discuss: Hacker News
πŸ’¬Prompt Engineering
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Help Me Build the Future: Test My AI Developer Kit (Free Product Inside)
syntax-sprite-studio.lovable.appΒ·2dΒ·
Discuss: DEV
⚑FastAPI
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3 Must-Have GNOME Extensions to Instantly Boost Your Desktop
dev.toΒ·10hΒ·
Discuss: DEV
🧩Browser Extensions
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Tracking CPU spike!
github.comΒ·1dΒ·
Discuss: DEV
πŸš€Shuttle
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This distro beats Zorin OS 18
reddit.comΒ·18hΒ·
Discuss: r/linux
🐧Linux
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How Hyperconnected AI Development Creates a Multi-System Secret Sprawl
devops.comΒ·1d
πŸ›‘οΈAI Security
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Local, multi-model AI that runs on a toaster. One-click setup, 2GB GPU enough
github.comΒ·4dΒ·
Discuss: r/LocalLLaMA
πŸ–₯️SerenityOS
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Modern C++: Variadic Templates
dev.toΒ·3dΒ·
Discuss: DEV
πŸ¦€Rust Macros
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Automated Carbon Footprint Verification via Hyperdimensional Semantic Analysis
dev.toΒ·1hΒ·
Discuss: DEV
πŸ“ŠVictoriaMetrics
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Automated Anomaly Detection in Digital Pathology Slides via Multi-Scale Graph Analysis
dev.toΒ·1dΒ·
Discuss: DEV
🧠Machine Learning
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Knowledge Graph Analysis of Legal Understanding and Violations in LLMs
arxiv.orgΒ·2d
🍱Nom
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PANDA - Patch And Distribution-Aware Augmentation for Long-Tailed Exemplar-Free Continual Learning
arxiv.orgΒ·1d
πŸ“±Edge AI
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Enhancing the Outcome Reward-based RL Training of MLLMs with Self-Consistency Sampling
arxiv.orgΒ·1d
πŸ’¬Prompt Engineering
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Trupe: Implementing Actor Model in .NET
dev.toΒ·1dΒ·
Discuss: DEV
πŸš€Actix
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Breaking Down AI Costs: The Revolutionary TALE Framework That’s Changing How LLMs Think
pub.towardsai.netΒ·20h
πŸ’¬Prompt Engineering
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Setting Up Continuous Integration Workflow and Running Tests in Another Repository.
dev.toΒ·20hΒ·
Discuss: DEV
🌳Git
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7 Advanced Yet Practical Ways to Make Your AI Pipeline Production-Grade
dev.toΒ·2dΒ·
Discuss: DEV
πŸš€MLOps
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