
Over six months, Mykola Iakobchuk engineered robust data quality and automation features across adobe/spacecat-audit-worker and hlxsites/aem-boilerplate-commerce. He improved link auditing by centralizing URL normalization and filtering non-scrapable URLs, leveraging Node.js and JavaScript for backend reliability. Mykola integrated Bright Data’s SERP API to automate broken-link remediation, reducing manual SEO tasks. In the commerce repository, he enhanced product URL consistency and metadata export, supporting AEM workflows with TypeScript and API integration. His work emphasized maintainable code, thorough testing, and cross-system consistency, resulting in more accurate audits, resilient scraping, and scalable bot-detection, reflecting a deep understanding of full stack development challenges.
February 2026: Delivered Bright Data-based enhancements to the spacecat-audit-worker to automate link-health remediation. Implemented Bright Data client integration with SERP API to resolve broken backlinks and extended the same approach to broken internal links, including locale-aware fallbacks and multi-keyword strategies to improve accuracy. Tied changes to SITES-40032 and SITES-40429 and initiated AWS Secrets Manager credential update plan. Improvements reduce manual remediation, enhance SEO health signals, and demonstrate strong cloud-integrations and data-driven validation capabilities.
February 2026: Delivered Bright Data-based enhancements to the spacecat-audit-worker to automate link-health remediation. Implemented Bright Data client integration with SERP API to resolve broken backlinks and extended the same approach to broken internal links, including locale-aware fallbacks and multi-keyword strategies to improve accuracy. Tied changes to SITES-40032 and SITES-40429 and initiated AWS Secrets Manager credential update plan. Improvements reduce manual remediation, enhance SEO health signals, and demonstrate strong cloud-integrations and data-driven validation capabilities.
January 2026 focused on improving the efficiency and accuracy of link auditing in adobe/spacecat-audit-worker by introducing pre-filtering of non-scrapable URLs and centralizing URL normalization across audits. The work strengthened business value by reducing unnecessary scraping, improving audit integrity across domain variations, and reducing cross-system errors between RUM and site registration.
January 2026 focused on improving the efficiency and accuracy of link auditing in adobe/spacecat-audit-worker by introducing pre-filtering of non-scrapable URLs and centralizing URL normalization across audits. The work strengthened business value by reducing unnecessary scraping, improving audit integrity across domain variations, and reducing cross-system errors between RUM and site registration.
December 2025 performance summary: Strengthened automation reliability and bot-detection capabilities across multiple repos, delivering tangible business value through improved data reliability, broader bot-blocker visibility, and enhanced user feedback. All changes delivered with thorough testing and backward compatibility.
December 2025 performance summary: Strengthened automation reliability and bot-detection capabilities across multiple repos, delivering tangible business value through improved data reliability, broader bot-blocker visibility, and enhanced user feedback. All changes delivered with thorough testing and backward compatibility.
November 2025 — Spacecat Audit Worker: Two primary feature improvements shipped with targeted fixes across metatag processing and internal link auditing, underpinned by expanded test coverage and robust edge-case handling. These changes increase data quality, audit precision, and remediation speed, delivering measurable business value in metadata accuracy and SEO readiness.
November 2025 — Spacecat Audit Worker: Two primary feature improvements shipped with targeted fixes across metatag processing and internal link auditing, underpinned by expanded test coverage and robust edge-case handling. These changes increase data quality, audit precision, and remediation speed, delivering measurable business value in metadata accuracy and SEO readiness.
August 2025 monthly summary for hlxsites/aem-boilerplate-commerce: Delivered key URL normalization and metadata export enhancements to improve data consistency, SEO readiness, and AEM bulk metadata workflows. Implemented lowercase SKUs in product URLs, and extended the metadata generator to produce XLSX and JSON outputs, enabling reliable bulk operations across commerce components and SEO tooling.
August 2025 monthly summary for hlxsites/aem-boilerplate-commerce: Delivered key URL normalization and metadata export enhancements to improve data consistency, SEO readiness, and AEM bulk metadata workflows. Implemented lowercase SKUs in product URLs, and extended the metadata generator to produce XLSX and JSON outputs, enabling reliable bulk operations across commerce components and SEO tooling.
July 2025: Focused on stabilizing the Product Details Block in the hlxsites/aem-boilerplate-commerce repository by eliminating duplicate and stale content. Implemented a robust rendering approach by replacing appendChild with replaceChildren to ensure a clean slate before rendering new product details. This reduces content duplication, prevents stale data, and improves user experience in product detail views.
July 2025: Focused on stabilizing the Product Details Block in the hlxsites/aem-boilerplate-commerce repository by eliminating duplicate and stale content. Implemented a robust rendering approach by replacing appendChild with replaceChildren to ensure a clean slate before rendering new product details. This reduces content duplication, prevents stale data, and improves user experience in product detail views.

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