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⚙️ Query Compilers

code generation, LLVM, vectorization, adaptive optimization

12 Delegation software You Should Know
fluidwave.com·2h·
Discuss: DEV
📊Data Lineage
Database latency with PostgreSQL and MongoDB: it's the data model that makes it fast
mongodb.com·4h·
Discuss: DEV
⚙️Database Internals
The Data Room App (thedataroom.app)
djpardis.medium.com·4h·
Discuss: Hacker News
🏞️Delta Lake
The New Distribution Game: Building Products for Agents, Not Users
productcurious.com·4h·
Discuss: Hacker News
📊Columnar Engines
Navigating AI Dementia: Strategies for Safe Rollback
news.ycombinator.com·14h·
Discuss: Hacker News
🛡️Memory Safety
Convergent transformations of visual representation in brains and models
arxiv.org·7h
🧠Neural Interfaces
UA-Extract - Easy way to keep user-agent parsing updated
reddit.com·13h·
Discuss: r/opensource
🦠Malware Analysis
Advanced PDF Optimization Techniques - 1753087
dev.to·2h·
Discuss: DEV
🗜️Archive Compression
Python Fundamentals: class methods
dev.to·22h·
Discuss: DEV
📋Tokei
Slices, Prices & Python
dev.to·38m·
Discuss: DEV
🔢NumPy
The New Bar for Engineers in 2025: AI-Native or Behind
zachwills.net·10h·
Discuss: Hacker News
📋Tokei
Intuitionistic monotone modal logic via translation
arxiv.org·7h
🔧Functional Programming
Acoustic Index: A Novel AI-Driven Parameter for Cardiac Disease Risk Stratification Using Echocardiography
arxiv.org·7h
🤖AI
Show HN: Built a localhost-sharing CLI with live feedback
news.ycombinator.com·23h·
Discuss: Hacker News
📋Tokei
Integrating Python with MySQL Databases: An Introduction and Practical Guide
dev.to·18h·
Discuss: DEV
💾Databases
Show HN: Duende: Web UX for guiding Gemini as it improves your source code
github.com·14h·
Discuss: Hacker News
🤖AI
Ace Your Next Tech Interview: Front-End Developer Q&A You Must Know
dev.to·5h·
Discuss: DEV
📋Tokei
Why QA Teams Are Switching to Codeless Automation
dev.to·16h·
Discuss: DEV
📋Tokei
Python vs JavaScript for Backend: Which Is Better for Your Project?
dev.to·30m·
Discuss: DEV
🐍python
Consistent Explainers or Unreliable Narrators? Understanding LLM-generated Group Recommendations
arxiv.org·7h
🔄Feed Aggregation
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