Monthly summary for 2026-01 focused on the chalk-ai/docs repo. Key features: Chalk SQL Input Feature enabling SQL queries as input for Chalk queries, and Chalk SQL Documentation Improvements and Accessibility. No major bugs reported this month. Overall impact: accelerated data retrieval for Chalk queries, improved developer experience through comprehensive documentation and accessibility enhancements, and strengthened maintainability. Technologies/skills demonstrated: SQL integration, documentation tooling, syntax highlighting, local viewing for docs, and documentation structure improvements.

November 2025: Delivered a critical enhancement to OnlineQueryBulkRequest in chalk-ai/chalk-go by adding SQL-based inputs (inputs_sql) and refactoring InputsFeather into a new Inputs structure to align with the updated codebase. Implemented a compatibility fix to resolve a compile-time issue caused by moving InputsFeather into a oneof, ensuring stable builds across configurations. The changes broaden data-source compatibility, enabling SQL-based data ingestion and improving maintainability for future refactors. Demonstrated Go development, refactoring, protobuf/oneof-style data modeling, and cross-team codebase alignment, delivering business value through reduced integration friction and lower risk of build-time failures.