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Sharding Strategies for Multi-Tenant Databases
Data & AI
Horizontal scaling patterns for multi-tenant databases, covering shard key selection, consistent hashing, and shard management best practices.
Vector Search 2.0 on Google Cloud
Data & AI
Expert guide to Google Cloud Vector Search 2.0: embeddings, indexes, collections, and query implementation from official docs.
OpenRouter Context Optimization
Data & AI
Optimize context window usage for OpenRouter models to reduce cost and improve quality. Covers token estimation, conversation trimming, chunking, and prompt caching.
Align long reads with sublong
Data & AI
Align long reads (PacBio, Oxford Nanopore) to a reference genome using sublong, with optional RNA-seq mode.
NeuroScript Standard Library Catalog
Data & AI
Catalogs all primitive and composite NeuroScript neurons with signatures, shapes, parameters, and categories. Use it to look up available neurons, check signatures, or decide which neuron to use. Includes a decision tree and references to composite library files.
Julia Pro Development
Data & AI
Expert in Julia 1.10+ development with modern tooling, performance optimization, and scientific computing.
Advanced SQL Mastery and Optimization
Data & AI
Expert SQL for cloud and hybrid databases, with performance tuning and data modeling for OLTP/OLAP workloads.
OpenRouter Context Optimization
Data & AI
Optimize context window usage for OpenRouter models to reduce cost and improve quality. Use when hitting context limits, managing long conversations, or building RAG systems.
Fal Upscale
Data & AI
Upscale and enhance image and video resolution using AI.
Apache Airflow DAG Patterns
Data & AI
Production-ready Apache Airflow DAG patterns covering operators, sensors, testing, and deployment best practices for data pipeline orchestration.
Quantitative Analyst
Data & AI
Build financial models, backtest trading strategies, and analyze market data with risk metrics and portfolio optimization.
Agent-Driven Parameter Optimization
Data & AI
Guide agent-driven parameter optimization for configurable systems with measurable objectives. Use for hyperparameter tuning, inference settings, simulations, or control experiments.