Introducing Metrax: performant, efficient, and robust model evaluation metrics in JAX
developers.googleblog.comΒ·11h
πŸ“ŠPerformance Tools
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Refreshing Apache XML Infrastructure
blog.adamretter.org.ukΒ·3dΒ·
πŸ“‹Protobuf Schema
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Keynote: Cloud Native for Good - Faseela K, O. Mohsine, R. Machorro, B. Thomas, J. Workman
youtube.comΒ·1d
☸️Kubernetes
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GitHub Availability Report: October 2025
github.blogΒ·16h
πŸ”§DevOps
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End-to-End OCR with Vision Language Models
ubicloud.comΒ·15hΒ·
Discuss: Hacker News
πŸ¦™Ollama
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Project OSSAS: Custom LLMs to Process 100M Research Papers
inference.netΒ·1dΒ·
Discuss: Hacker News
πŸ¦™Ollama
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Top 5 Agentic Coding CLI Tools
kdnuggets.comΒ·20h
πŸ’»CLI Tools
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Help Me Build the Future: Test My AI Developer Kit (Free Product Inside)
syntax-sprite-studio.lovable.appΒ·10hΒ·
Discuss: DEV
⚑FastAPI
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Two can keep a secret if one is dead. So please share everything with at least one person.
lesswrong.comΒ·1d
πŸ“‹Protocol Design
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Building a Simple Personal Library with Python: My Experience from Zero to Execution
dev.toΒ·19hΒ·
Discuss: DEV
⚑Ruff
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Build a Company Website with Bolt.new and Strapi 5 - Part 2
dev.toΒ·20hΒ·
Discuss: DEV
πŸš€Shuttle
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I wrote a "from first principles" guide to building an HTTP/1.1 client in Rust (and C/C++/Python) to compare performance and safety
reddit.comΒ·3dΒ·
Discuss: r/rust
πŸ¦€Rust
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Mini-Micro: http.post wizardry
dev.toΒ·1dΒ·
Discuss: DEV
πŸ”ŒgRPC
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Building Agentic AI with Amazon Bedrock – Part 1: Your First AI Agent (Beginner Friendly)
dev.toΒ·6hΒ·
Discuss: DEV
πŸ¦™Ollama
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Project-oak: Meaningful control of data in distributed systems
github.comΒ·16hΒ·
Discuss: Hacker News
πŸ”’Tetragon
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Slice-Aware Spoofing Detection in 5G Networks Using Lightweight Machine Learning
arxiv.orgΒ·4h
πŸ”WireGuard
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Sharing My Little Experiment: Code Genie – A Simple Open-Source Tool to Help with Code Ideas
github.comΒ·18hΒ·
Discuss: DEV
🎭Program Synthesis
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A Production LLMOps Architecture for Snowflake
dev.toΒ·2dΒ·
Discuss: DEV
πŸ¦™Ollama
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The Future of AI: Context Engineering in 2025 and Beyond
dev.toΒ·2dΒ·
Discuss: DEV
πŸ’¬Prompt Engineering
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Unlearning Imperative: Securing Trustworthy and Responsible LLMs through Engineered Forgetting
arxiv.orgΒ·4h
πŸ›‘οΈAI Security
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