SQL, T-SQL, PL/pgSQL, SPARQL, Cypher, Gremlin, XQuery, Query, Join, Subquery, Aggregate Functions, Window Functions, Stored Procedure, Trigger, View

Non-recursively deleting a binary tree in constant space: Synthesizing the parent pointer
devblogs.microsoft.com·13h
💾Database
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The AI Engineer's Guide to Surviving the EU AI Act • Larysa Visengeriyeva & Barbara Lampl • GOTO 25
youtube.com·15h
🤖AI
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Python MarkItDown: Convert Documents Into LLM-Ready Markdown
realpython.com·1d
🔧Feature Engineering
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YaCy - The search engine I thought I would love
sprocketfox.io·2d
🧭Vector Databases
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What Is Delta Lake
ibm.com·1d·
Discuss: Hacker News
🔗Distributed Systems & Big Data Techniques
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Perplexity shows how to run monster AI models more efficiently on aging GPUs, AWS networks
go.theregister.com·1d
🤖AI
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Advice for System Design Interviews
jacobbrazeal.wordpress.com·21h·
Discuss: Hacker News
🌐Distributed Systems
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What Node platform should i use?
reddit.com·1d·
Discuss: r/node
🌐Distributed Systems
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The rise of ‘Slow AI’: Why devs should stop speedrunning stupid
app.coderabbit.ai·22h·
Discuss: DEV
🤖AI
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Google to remove more search features including practice problems, nutrition facts, nearby offers and more
searchengineland.com·1d
💾Database
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Lemonade's C++ port is available in beta today, let me know what you think
reddit.com·11h·
Discuss: r/LocalLLaMA
🌐Distributed Systems
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How to Build a RAG Solution with Llama Index, ChromaDB, and Ollama
dev.to·1d·
Discuss: DEV
🧭Vector Databases
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Merging Continual Pretraining Models for Domain-Specialized LLMs: A Case Study in Finance
arxiv.org·1d
🔀Transformers
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Oolong: Evaluating Long Context Reasoning and Aggregation Capabilities
arxiv.org·1d
🔀Transformers
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Google Finance expands AI capabilities with Deep Search and prediction markets
ppc.land·7h
🤖AI
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From searching to solving: how Vector Databases transform product discovery
dev.to·3d·
Discuss: DEV
🧭Vector Databases
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My 2025 Developer Tech Stack: From Code to Docs
dev.to·1d·
Discuss: DEV
🏗️Data Engineering
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How Race Conditions Can Break Your System?
dev.to·23h·
Discuss: DEV
🔪Database Sharding
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Supercharging AI Model Building: Data and Task Parallelism with Ray and Databricks
databricks.com·8h
🏗️Data Engineering
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