Memory Allocators, Performance Optimization, Microsoft Research, Arena Allocation

Mojo: MLIR-Based Performance-Portable HPC Science Kernels on GPUs for the Python Ecosystem
arxiv.org·4d·
Discuss: Lobsters
📊Profile-Guided Optimization
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MCP Gateways: A Developer's Guide to AI Agent Architecture in 2026
composio.dev·35m·
Discuss: Hacker News
🔌gRPC
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How I use an LLM to write and execute TypeScript "just-in-time" in my app
pscanf.com·3d·
🦙Ollama
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I just revived my 13-year-old game for $43 using Claude Code
reddit.com·1d·
Discuss: r/ClaudeAI
🌈Nannou
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Build better software to build software better
slack.engineering·5d·
Discuss: Hacker News
📦uv
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Instant Parameter Selection for Modular Systems (b, p, t, r)
news.ycombinator.com·3d·
Discuss: Hacker News
📐TLA+
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No More Embeddings, Just Gemini File Search to Get Higher Accuracy
pub.towardsai.net·7h
🔍RAG
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GPT-5.1 Prompting Guide
cookbook.openai.com·2d·
Discuss: Hacker News
💬Prompt Engineering
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ParaRNN [from Apple Research]
github.com·2d·
Discuss: Hacker News
🔥PyTorch
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Tech With Tim: Is This the Fastest App Build Ever? (Base44 Demo)
dev.to·18h·
Discuss: DEV
🚀Shuttle
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Tech With Tim: Is This the Fastest App Build Ever? (Base44 Demo)
dev.to·10h·
Discuss: DEV
🚀Shuttle
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Tech With Tim: Is This the Fastest App Build Ever? (Base44 Demo)
dev.to·8h·
Discuss: DEV
🚀Shuttle
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🔥 LLM Interview Series(5): Self-supervised Learning and Next-token Prediction
dev.to·4h·
Discuss: DEV
💬Prompt Engineering
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Show HN: LeanSpec - Built in 10 days using the specs it defines
github.com·4d·
Discuss: Hacker News
📊Performance Tools
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Can Playwright vs Selenium Cut CI Time?
dev.to·15h·
Discuss: DEV
📊Performance Tools
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Beyond ChatGPT: 5 Under-the-Radar AI Tools Revolutionizing Your Daily Productivity
dev.to·1d·
Discuss: DEV
💬Prompt Engineering
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Show HN: Zingle – an AI code reviewer for data teams (SQL/dbt/Airflow/Spark)
news.ycombinator.com·1d·
Discuss: Hacker News
💰TigerBeetle
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Adaptability as the Core of Software Design
dev.to·1d·
Discuss: DEV
🎭Program Synthesis
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Unlocking True Concurrency in Python 3.13: Mastering Free-Threaded Mode for High-Performance Applications
dev.to·4d·
Discuss: DEV
🔄Concurrency
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Maximizing Efficiency of Dataset Compression for Machine Learning Potentials With Information Theory
arxiv.org·1d
📊Information Theory
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