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Blog post from Tinybird

Post Details
Company
Date Published
Author
Ramiro Aznar Ballarin
Word Count
971
Language
English
Hacker News Points
-
Summary

In a previous role at Planet, the author developed a data infrastructure system to monitor and alert for issues in satellite image collection, using an array of technologies including Python scripts, SQL, and dbt. This effort was challenging and required substantial time and resources, as it involved creating a complex data pipeline to transform data into metrics essential for the company's revenue-generating imagery products. Transitioning to Tinybird, the author embraced modern AI-assisted development tools, significantly reducing the time and complexity involved in rebuilding a similar anomaly detection system. By employing prompt engineering techniques and using Tinybird's capabilities, the author was able to create a functional prototype in just one day, contrasting with the extensive effort previously required. This shift highlights the transformative potential of AI tools in streamlining development processes and enhancing efficiency, particularly in building internal tools, although they may not yet be ideal for production-level applications.