How Writing Prompts Taught Me to Think Like a Programmer
inspiredbywords.hashnode.devยท10hยท
Discuss: DEV
โš™Systems Programming
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Select 1 Touches 5,583 Lines of Postgres Source Code
narekg.meยท14hยท
Discuss: Hacker News
๐Ÿ—„๏ธDatabases
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Valori โ€“ A Python-native Vector Database I built from scratch
news.ycombinator.comยท2dยท
Discuss: Hacker News
๐Ÿ—„๏ธDatabases
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How Generative AI is Transforming Software Architecture in 2025
builder.aiยท16hยท
Discuss: DEV
โš™Systems Programming
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Exploiting neuro-inspired dynamic sparsity for energy-efficient intelligent perception
nature.comยท1d
๐Ÿง Memory Management
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Fast and Affordable LLMs serving on Intel Arc Pro B-Series GPUs with vLLM
blog.vllm.aiยท1d
๐Ÿง Memory Management
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My game now handles thousands of plants and huge farms after major optimizations
reddit.comยท2hยท
Discuss: r/godot
๐ŸŽฎGame Engines
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This free Linux distro replaced 5 of my most-used networking tools
xda-developers.comยท12h
โš™Systems Programming
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Would Satoshi Pass the Exchange Checklist?
dev.toยท1dยท
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Classification in Equilibrium: Structure of Optimal Decision Rules
arxiv.orgยท1h
๐ŸŽฎGame Engines
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Generalizable Blood Cell Detection via Unified Dataset and Faster R-CNN
arxiv.orgยท1h
๐Ÿ—„๏ธDatabases
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The Metastasize of Templating in Declarative Language
fromanengineersight.substack.comยท2dยท
Discuss: Substack
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Quantifying Edits Decay in Fine-tuned LLMs
arxiv.orgยท1d
โš™Low-Level
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Who Are We in This Universe?
dev.toยท42mยท
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โš™Systems Programming
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Built my own password manager in Rust โ€” learned a ton about encryption and ownership ๐Ÿฆ€
reddit.comยท2dยท
Discuss: r/rust
๐Ÿ”จFrom Scratch
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Parametric Pareto Set Learning for Expensive Multi-Objective Optimization
arxiv.orgยท1d
โš™Systems Programming
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Debunking the Myth: Is JOIN Always Faster Than Correlated Subqueries?
dev.toยท11hยท
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๐Ÿ—„๏ธDatabases
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Writing Your First Compiler - Part 6: Extending the Language
dev.toยท4dยท
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โš™Low-Level
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Towards Optimal Constellation Design for Digital Over-the-Air Computation
arxiv.orgยท1d
๐Ÿง Memory Management
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Retracing the Past: LLMs Emit Training Data When They Get Lost
arxiv.orgยท1d
โš™Low-Level
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