adobe/spacecat-api-service
Oct 2025 – Jun 2026
2 Months active
Languages Used
JavaScript
Technical Skills
JavaScriptbackend developmentAPI DevelopmentAPI developmentBackend DevelopmentPostgreSQL
Nursinem Dere
PROFILE
Nursinem Dere
Over a two-month period, this developer enhanced the adobe/spacecat-api-service repository by delivering two backend features focused on onboarding analytics and prompt management. They expanded onboarding audit capabilities by integrating customer analysis support, enabling richer insights during new customer setup. Later, they implemented a read-optimized aggregate endpoint for prompt statistics, restructuring outputs to nest intent fields and leveraging SQL-driven aggregation in PostgreSQL for improved performance and maintainability. Their work included comprehensive unit and integration testing, as well as collaboration on code reviews. Core technologies used were JavaScript, PostgreSQL, and backend development best practices, with an emphasis on maintainable, testable code.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
474
Activity Months2
Your Network
544 peopleSame Organization
@adobe.com471
Shared Repositories
73
Work History
June 2026
2 Commits • 1 Features
Jun 1, 2026June 2026 — adobe/spacecat-api-service: Delivered a read-optimized Prompts Management enhancement and related fixes. Key features include a new aggregate endpoint GET /v2/orgs/:spaceCatId/brands/:brandId/prompts/stats returning branded/unbranded counts and intents grouped under an intents object; restructured rpc_brand_prompt_stats outputs to nest intent_* fields under intents; and updated tests (unit, integration) with staging smoke coverage. The changes are backed by the PostgREST RPC in mysticat-data-service, replacing a derived branded column approach with SQL-driven aggregation, reducing write-path complexity and backfill risk. Performance considerations include a partial index on (organization_id, brand_id, status) to keep reads fast. Commit references: e25d9be2f526a1f4d41b23d82425917bd5e92cc8 and 920eca5f53575eb729d88a6d989a0b988bffafb2. Co-authored by Claude Sonnet 4.6.
2 Commits • 1 Features
Jun 1, 2026June 2026 — adobe/spacecat-api-service: Delivered a read-optimized Prompts Management enhancement and related fixes. Key features include a new aggregate endpoint GET /v2/orgs/:spaceCatId/brands/:brandId/prompts/stats returning branded/unbranded counts and intents grouped under an intents object; restructured rpc_brand_prompt_stats outputs to nest intent_* fields under intents; and updated tests (unit, integration) with staging smoke coverage. The changes are backed by the PostgREST RPC in mysticat-data-service, replacing a derived branded column approach with SQL-driven aggregation, reducing write-path complexity and backfill risk. Performance considerations include a partial index on (organization_id, brand_id, status) to keep reads fast. Commit references: e25d9be2f526a1f4d41b23d82425917bd5e92cc8 and 920eca5f53575eb729d88a6d989a0b988bffafb2. Co-authored by Claude Sonnet 4.6.
June 2026
October 2025
1 Commits • 1 Features
Oct 1, 2025Summary for 2025-10: Delivered onboarding enhancement to support customer analysis audits by adding 'llmo-customer-analysis' to the onboarding audits. This expands analytics capabilities during onboarding, enabling earlier and richer customer insights, and lays groundwork for improved onboarding efficiency and potential conversion gains. All work is tracked in commit 70fb80dd67361dda1506e58daabbd87579b8a02c (feat: add 'llmo-customer-analysis' to supported features in llmo-onbo… (#1421)).
October 2025
1 Commits • 1 Features
Oct 1, 2025Summary for 2025-10: Delivered onboarding enhancement to support customer analysis audits by adding 'llmo-customer-analysis' to the onboarding audits. This expands analytics capabilities during onboarding, enabling earlier and richer customer insights, and lays groundwork for improved onboarding efficiency and potential conversion gains. All work is tracked in commit 70fb80dd67361dda1506e58daabbd87579b8a02c (feat: add 'llmo-customer-analysis' to supported features in llmo-onbo… (#1421)).
Activity
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Quality Metrics
Correctness100.0%
Maintainability93.4%
Architecture100.0%
Performance93.4%
AI Usage60.0%
Skills & Technologies
Programming Languages
JavaScript
Technical Skills
API DevelopmentAPI developmentBackend DevelopmentJavaScriptPostgreSQLUnit Testingbackend developmenttesting
Repositories Contributed To
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