Write and optimize high-performance Julia code for scientific computing, numerical analysis, and production systems using Julia 1.10+ with package management and multiple dispatch patterns.

Guides researchers through the INFORMS Journal on Computing submission process with specialized skills for fit assessment, contribution sharpening, experimental design, reproducible code, visualization, writing, preflight checks, and rebuttal drafting.

Guides macroeconomists through the full AEJ: Macroeconomics submission lifecycle—from topic selection and empirical identification (SVAR, local projections) to model discipline (DSGE, HANK), AEA-style figures/tables, reproducibility packages, rebuttal letters, and preflight checks.

Evaluate Julia code in a persistent REPLicant session via `julia +rpc`, avoiding cold-start overhead for faster iterative development. Supports one-off evaluation, server management, and troubleshooting.

Get Julia language server features — diagnostics, go-to-definition, hover info, autocompletion — directly in Claude Code for .jl files.

Develop and optimize Julia code with 1.10+ idioms, package management, multiple dispatch patterns, and performance-critical numerical computing.