Fluent Visitors: revisiting a classic design pattern
neilmadden.blog·2d·
Discuss: r/programming
λFunctional Programming
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Independently verifying Go's reproducible builds
golangweekly.com·2d
🏗️Cranelift
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Exploring Digital Transformation in Construction: A Case Study of Hagaz Ltd
linkedin.com·1h·
Discuss: DEV
🔧DevOps
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Generalizing Test-Time Compute-Optimal Scaling as an Optimizable Graph
huggingface.co·2d·
Discuss: Hacker News
🎴TAO
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Benchmarking the cost of Java's EnumSet - A Second Look
kinnen.de·3d·
Discuss: Hacker News, r/programming
📏Linear Types
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Detailed Technical Documentation on AI Implementation Logic (Taking Large Language Models as an Example )
nbtab.com·3d·
Discuss: DEV
📱Edge AI
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Why Space and Time's Mainnet v2 Could Change How Banks Handle Tokenized Assets
hackernoon.com·2d
💰TigerBeetle
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Steering the Flow: Network Control Through Mathematical Optimization
dev.to·1d·
Discuss: DEV
🕸️Graph Theory
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How I Prepared for a Data Science Interview at a Large Tech Company
kdnuggets.com·2d
📊Data Science
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Teaching My Team How to Build LINQ from Scratch
dev.to·3d·
Discuss: DEV
λFunctional Programming
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Process Bottleneck Breakthrough: AI-Powered Outcome Prediction
dev.to·2d·
Discuss: DEV
🚀Performance
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Large Language Models as Information Sources: Distinctive Characteristics and Types of Low-Quality Information
arxiv.org·1d
💬Natural Language Processing
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Building Resilient Event-Driven Systems: Lessons from the Distributed Trenches
dev.to·3d·
Discuss: DEV
🔄Distributed Systems
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Unclonable Cryptography in Linear Quantum Memory
arxiv.org·16h
🔢Homomorphic Encryption
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How to Avoid Common Data Management Pitfalls in Enterprise RAG Systems: A Guide to Effective Governance and Observability
dev.to·4d·
Discuss: DEV
🔥DataFusion
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Large Language Models Do NOT Really Know What They Don't Know
paperium.net·1d·
Discuss: DEV
💬Prompt Engineering
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Migration Case: From Azkaban to DolphinScheduler
dev.to·1d·
Discuss: DEV
🤖Automation
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pg_stat_plans: Track per-plan call counts, execution times and EXPLAIN texts
github.com·4d·
Discuss: Hacker News
🐘PostgreSQL
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Automated Prompt Generation for Code Intelligence: An Empirical study and Experience in WeChat
arxiv.org·1d
💬Prompt Engineering
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Agentic Design of Compositional Machines
paperium.net·1h·
Discuss: DEV
💬Prompt Engineering
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