
Worked on the charmbracelet/crush repository to deliver performance and stability improvements for large-scale backend systems. Addressed gitignore matching by replacing regex-based logic with glob-based matching, introducing two-level caching and pre-built matchers in Go, which reduced CPU usage from approximately 80% to 2% during file-walking in large repositories. Enhanced the LSP manager by implementing safeguards against nil clients and adding state checks, improving reliability and error handling. Focused on profiling-driven optimization and maintainability, these changes resulted in faster indexing, lower resource consumption, and more stable editor features, directly benefiting developer experience and scalability for large monorepo environments.
February 2026: Delivered performance and stability improvements in charmbracelet/crush. Implemented glob-based gitignore matching with two-level caching and pre-built matchers, reducing CPU usage from ~80% to ~2% in large repos and speeding file-walking. Strengthened LSP manager by guarding against nil clients and adding state checks, boosting reliability. These changes improved repository operations, responsiveness in large monorepos, and overall developer experience. Technologies demonstrated include Go, optimized caching patterns, glob-based ignore parsing, and robust error handling. Business value includes faster indexing, lower CPU costs, and more stable editor features for large-scale projects.
February 2026: Delivered performance and stability improvements in charmbracelet/crush. Implemented glob-based gitignore matching with two-level caching and pre-built matchers, reducing CPU usage from ~80% to ~2% in large repos and speeding file-walking. Strengthened LSP manager by guarding against nil clients and adding state checks, boosting reliability. These changes improved repository operations, responsiveness in large monorepos, and overall developer experience. Technologies demonstrated include Go, optimized caching patterns, glob-based ignore parsing, and robust error handling. Business value includes faster indexing, lower CPU costs, and more stable editor features for large-scale projects.

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