
Worked on enhancing the llmo-prompts-ahrefs workflow within the adobe/spacecat-api-service repository by increasing the prompts-per-domain import limit, enabling broader data coverage and supporting business analytics requirements. The update involved backend development using JavaScript, focusing on scalable onboarding logic to accommodate larger domains. The implementation included targeted code changes and comprehensive tests to validate the new onboarding flow and ensure reliability. All modifications were tracked for traceability through a dedicated commit reference. This work addressed the need for importing more prompts per domain, improving the system’s ability to handle larger datasets and aligning with evolving business and data analysis needs.
In August 2025, delivered a scalable upgrade to the llmo-prompts-ahrefs workflow in adobe/spacecat-api-service by increasing the prompts-per-domain import limit and updating onboarding logic. This enables onboarding of larger-domain prompts, improves data coverage, and supports business analytics needs. The changes were implemented with focused code changes and accompanying tests to validate the new capacity and onboarding path. Commit traceability is maintained with the change reference c92fd022b8e58d28408c7ac501792cb2de5e372a (feat: support 200 prompts per domain (#1179)).
In August 2025, delivered a scalable upgrade to the llmo-prompts-ahrefs workflow in adobe/spacecat-api-service by increasing the prompts-per-domain import limit and updating onboarding logic. This enables onboarding of larger-domain prompts, improves data coverage, and supports business analytics needs. The changes were implemented with focused code changes and accompanying tests to validate the new capacity and onboarding path. Commit traceability is maintained with the change reference c92fd022b8e58d28408c7ac501792cb2de5e372a (feat: support 200 prompts per domain (#1179)).

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