Garbage Collection Is a Hack
blog.adamant-lang.org·23h·
Discuss: Hacker News
🗑️Garbage Collection
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Put a little Pixie in your cluster
bitfieldconsulting.com·2h
🔍eBPF
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Reinventing PostgreSQL for the Next Generation of Apps
thenewstack.io·1d·
Discuss: Hacker News, r/opensource
💰TigerBeetle
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I needed fast embedded storage. RocksDB wasn't it. So I built TidesDB
tidesdb.com·11h·
Discuss: Hacker News
📋Columnar Storage
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Mount Mayhem at Netflix: Scaling Containers on Modern CPUs
netflixtechblog.medium.com·16h·
Discuss: Hacker News
🚀Performance
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Waterfall Methodology AI: The Smart Evolution of Traditional Project Management
writegenic.ai·21h·
Discuss: DEV
💬Prompt Engineering
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This Week in UnrealDev.nvim: Major Cache Overhaul & Smarter Builds!
github.com·1d·
Discuss: DEV
📝Neovim
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Beyond Chatbots: 5 Next-Gen Use Cases for AI Agents in Customer Support
composio.dev·7h·
Discuss: Hacker News
🤖Automation
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**Revolutionizing Fashion Design with Generative AI: The Cas
dev.to·18h·
Discuss: DEV
🎨Design Systems
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Storage engine choices
reddit.com·16h·
Discuss: r/rust
🌲LSM Trees
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Optional Is Not Optional in C++ (and Definitely Not a Pointer)
dev.to·2d·
Discuss: DEV
🦀Rust Lifetimes
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Building a simple async sales system to sustain clarity and income
dev.to·4h·
Discuss: DEV
🦀Rust
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Debugging AI Agents: Overcoming Observability Gaps in Multi-Agent Systems
dev.to·2d·
Discuss: DEV
👁️Observability
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New to C, did a string interning library.
reddit.com·2d·
Discuss: r/C_Programming
⚙️Zig
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Enhancing your .NET API with query language
dev.to·2d·
Discuss: DEV
🔥DataFusion
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Writing Your First Compiler - Part 1: Introduction
dev.to·5d·
Discuss: DEV
λFunctional Programming
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Eligify v1.4.0: We Made Your Rules Organized (And Auditable)
dev.to·18h·
Discuss: DEV
💰TigerBeetle
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TabGemma: Text-Based Tabular ICL via LLM using Continued Pretraining and Retrieval
arxiv.org·2d
🧮Vector Databases
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Merging Continual Pretraining Models for Domain-Specialized LLMs: A Case Study in Finance
arxiv.org·3d
🌳Tree-sitter
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Improving the Performance of Radiology Report De-identification with Large-Scale Training and Benchmarking Against Cloud Vendor Methods
arxiv.org·1d
🧠Machine Learning
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