adobe/spacecat-api-service
May 2026 – Jun 2026
2 Months active
Languages Used
CSSHTMLJavaScriptTypeScript
Technical Skills
AI IntegrationAPI DevelopmentAPI developmentBackend DevelopmentData AnalysisDocumentation
Dima
PROFILE
Dima
Over a two-month period, contributed to the adobe/spacecat-api-service repository by building foundational backend features focused on AI visibility and brand content optimization. Developed and expanded API endpoints using TypeScript and Node.js, enabling enhanced AI-driven metrics, visual prompt responses, and geographic expansion of AI visibility. Improved data export automation and relevance-based sorting, while updating SDKs and client libraries to align with evolving API contracts. Enhanced developer experience through comprehensive documentation and UI/UX refinements, supporting both backend and frontend integration. The work emphasized observability, data-driven decision-making, and global reach, providing brand teams with tools for faster, more reliable content optimization workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
9Total
Bugs
0
Commits
9
Features
5
Lines of code
115,414
Activity Months2
Your Network
82 peopleSame Organization
@semrush.com9
Shared Repositories
73
Work History
June 2026
4 Commits • 2 Features
Jun 1, 2026June 2026: Delivered two primary features for adobe/spacecat-api-service with clear business value: (1) Brand and Content Visibility Enhancements, and (2) AI Visibility Geographic Expansion with API Client Updates. Implemented new export endpoints for brand-topics, brand-prompts, gap-topics, and gap-prompts; enhanced relevance-based sorting (TOPIC_VISIBILITY and RELEVANCE_SCORE); added date parameter support across v1 endpoints. Expanded AI visibility to additional countries and stabilized implementation; updated SDK to latest and bumped ai-seo-ts to align with API changes. Commit references include 8faa8031, 10995751, 9f48d0e9, and 618fe1df. These changes improve data visibility, export automation, and global reach, enabling faster, data-driven content optimization for brand teams.
4 Commits • 2 Features
Jun 1, 2026June 2026: Delivered two primary features for adobe/spacecat-api-service with clear business value: (1) Brand and Content Visibility Enhancements, and (2) AI Visibility Geographic Expansion with API Client Updates. Implemented new export endpoints for brand-topics, brand-prompts, gap-topics, and gap-prompts; enhanced relevance-based sorting (TOPIC_VISIBILITY and RELEVANCE_SCORE); added date parameter support across v1 endpoints. Expanded AI visibility to additional countries and stabilized implementation; updated SDK to latest and bumped ai-seo-ts to align with API changes. Commit references include 8faa8031, 10995751, 9f48d0e9, and 618fe1df. These changes improve data visibility, export automation, and global reach, enabling faster, data-driven content optimization for brand teams.
June 2026
May 2026
5 Commits • 3 Features
May 1, 2026May 2026 monthly summary for adobe/spacecat-api-service: Delivered foundational Serenity backend and AI visibility enhancements, expanded AI-driven capabilities, and strengthened developer experience through documentation and SDK updates. Focused on enabling observable AI metrics, enriching API surfaces for AI visibility, and introducing AI visual prompt responses. These efforts drive business value by improving AI feature discoverability, reliability, and integration simplicity for customers and internal teams, with measurable improvements in observability and developer productivity.
May 2026
5 Commits • 3 Features
May 1, 2026May 2026 monthly summary for adobe/spacecat-api-service: Delivered foundational Serenity backend and AI visibility enhancements, expanded AI-driven capabilities, and strengthened developer experience through documentation and SDK updates. Focused on enabling observable AI metrics, enriching API surfaces for AI visibility, and introducing AI visual prompt responses. These efforts drive business value by improving AI feature discoverability, reliability, and integration simplicity for customers and internal teams, with measurable improvements in observability and developer productivity.
Activity
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Quality Metrics
Correctness84.4%
Maintainability82.2%
Architecture82.2%
Performance82.2%
AI Usage57.8%
Skills & Technologies
Programming Languages
CSSHTMLJavaScriptTypeScript
Technical Skills
AI IntegrationAPI DevelopmentAPI developmentBackend DevelopmentData AnalysisDocumentationFull Stack DevelopmentJavaScriptNode.jsOAuthProtobufTypeScriptUI/UX designbackend developmentdocumentation
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