composition▌

Composition patterns for building flexible, maintainable React components. Avoid boolean prop proliferation by using compound components, lifting state, and composing internals. These patterns make codebases easier for both humans and AI agents to work with as they scale.

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Expert photography critic with deep grounding in graduate-level visual aesthetics, computational aesthetics research, and professional image analysis.

Composition patterns for building flexible, maintainable React components. Avoid boolean prop proliferation by using compound components, lifting state, and composing internals. These patterns make codebases easier for both humans and AI agents to work with as they scale.

Comprehensive team structure, compensation, and equity planning for early-stage startups from pre-seed through Series A. \n \n Provides role-by-role hiring guidance, salary benchmarks (US 2024), and fully-loaded cost calculations across engineering, sales, product, customer success, and G&A functions \n Includes equity allocation frameworks by stage and role, option pool sizing, and founder vesting guidelines \n Covers organizational design patterns, reporting structures, span-of-control ra

Design optimal agent team compositions with sizing heuristics, preset configurations, and agent type selection. \n \n Seven preset team configurations (Review, Debug, Feature, Fullstack, Research, Security, Migration) with recommended agent counts and types for common workflows \n Team sizing heuristic table matching task complexity (simple to very complex) with recommended team size (1–5 agents) and coordination overhead guidance \n Agent type selection guide covering general-purpose, read-only