Redis array: short story of a long development process
4 hours ago
- #Redis Development
- #AI-Assisted Programming
- #Data Structures
- A new Array data type for Redis was developed over four months, with the author initially writing a detailed specification document that evolved through feedback and AI assistance.
- The implementation involved designing a complex internal structure with sparse and dense directories and slices, allowing operations like ARSET and ARSCAN to be efficient without large memory allocations.
- AI (GPT 5.x) was heavily used for system programming tasks, code review, and testing, enabling the author to tackle higher complexity and ensure code quality without major compromises.
- During stress testing, the author identified use cases like storing markdown files and added ARGREP with regex support using the TRE library, which was optimized with AI help for patterns like 'foo|bar|zap'.
- The author emphasizes that high-quality system programming still requires full involvement, but AI acts as a safety net for tedious tasks and bug detection, allowing for more ambitious designs.
- The Array data type is proposed to introduce numerical index semantics in Redis, with detailed use cases documented in the GitHub PR, and feedback is welcomed for its acceptance.