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Millets: A practical memory-safety and thread-safety experiment
eagledot.xyz·17h·
🔧Database Internals
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Show HN: C discrete event SIM w stackful coroutines runs 45x faster than SimPy
github.com·14h·
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🔄Differential Dataflow
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Stratum: Architecting a Configurable Cache Simulator with C++ and Racket
thecloudlet.github.io·2d·
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Durable Execution: Build reliable software in an unreliable world
thenewstack.io·1d·
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OLTP Systems
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Evolution of the x86 context switch in Linux (2018)
maizure.org·17h·
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⚙️Zig
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LLMs as the new high level language
federicopereiro.com·1d·
🕸️WebAssembly
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Show HN: Database Internals, a book by Claude Opus 4.5
cloudstreet-dev.github.io·2d·
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Using Nsight Compute with large codebases - Part 2 : Profiling large code bases
blog.ncompass.tech·13h·
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Understanding LLM Inference Engines: Inside Nano-vLLM (Part 1)
neutree.ai·1d·
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In Depth – Memory Governance: The Achilles' Heel of Enterprise AI
yeasy.blogspot.com·8h·
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🏠Lakehouse
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Anthropic's Performance Take-Home: A 65x Optimization (For Dummies)
ikot.blog·16h·
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📊Columnar Databases
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TI-99/4A: Revisiting Implementation Strategies
bumbershootsoft.wordpress.com·3d·
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⚙️Zig
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The Architecture of Open Source Applications (Volume 1) Berkeley DB
aosabook.org·1d·
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How I'm writing code in 2026
coryzue.com·14h·
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Mad Rust: The JVM Developer's Journey. Kotlin/Java Developer's Road to Valhalla
sobolev.substack.com·9h·
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🕸️WebAssembly
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Mekara: Workflows as Code Proof-of-Concept
meksys-dev.github.io·2h·
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🔄ETL Pipelines
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Simple Made Easy (2011)
infoq.com
·1d·
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🕸️WebAssembly
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A Fresh Look at IBM 3270 Information Display System
rs-online.com·13h·
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🔧Database Internals
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The State of Memory Leaks in GNU/Linux
techrights.org·2d·
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⚙️Zig
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How I've run major projects
benkuhn.net·1d·
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🔄Differential Dataflow
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