Redis array: short story of a long development process
antirez.com
May 4, 2026
4 min read
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56/100
Summary
A new Array data type for Redis has been developed over four months, with implementation occurring part-time. The development process was accelerated by advancements in technology, allowing for increased productivity during that period.
Key Takeaways
- The new Array data type for Redis was developed over four months, with significant contributions from AI tools like GPT-5 and Codex during the design and implementation phases.
- The implementation features a complex internal structure that allows for efficient memory usage and performance, including a super directory of sliced dense directories.
- AI-assisted testing and code reviews identified and corrected inefficiencies and design errors, leading to a more robust final product.
- The author utilized regular expressions in Redis arrays and optimized the TRE library for improved efficiency in specific use cases.
Community Sentiment
Positives
- The use of LLMs has significantly enhanced the productivity of experienced developers, allowing them to accomplish more within the same timeframe.
- AI coding agents serve as powerful collaborators, amplifying human intelligence and creativity rather than replacing it.
- The integration of AI into the development process enables a more thorough review of code, identifying gaps and bugs that might be overlooked by humans alone.
Concerns
- There is a cautionary sentiment against assuming that all developers can achieve the same results with AI tools, as the original creator of Redis emphasizes his unique expertise.
- The notion of 'vibe coding' suggests a lack of rigor in AI-assisted development, which some developers reject as they remain heavily involved in the validation and review process.