bigcommerce/b2b-buyer-portal
Feb 2026 – Mar 2026
2 Months active
Languages Used
TypeScriptMarkdown
Technical Skills
API integrationReactfront end developmentB2B systemsBackend DevelopmentFeature Flag Management
Matt McQuilty
PROFILE
Matt Mcquilty
Matt McQuilty enhanced the bigcommerce/b2b-buyer-portal by implementing CSV upload batching for large product SKU lists, chunking uploads into 50-item batches to bypass backend API limits and merging results for seamless quote creation. He introduced feature flag management to control rollout and maintain backward compatibility, while preparing unit-test scaffolding to ensure reliability. In addition, Matt improved the SearchProducts GraphQL path by switching to variable-based queries and enforcing numeric product IDs, reducing upstream errors. He also clarified local development setup through updated documentation. His work demonstrated depth in TypeScript, API integration, and feature flag governance, resulting in improved reliability and maintainability.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
4Total
Bugs
1
Commits
4
Features
3
Lines of code
190
Activity Months2
Your Network
84 peopleWork History
March 2026
3 Commits • 2 Features
Mar 1, 2026March 2026: Delivered reliability and maintainability improvements for the SearchProducts GraphQL path, hardened upstream input handling, and streamlined local development onboarding for faster delivery. All changes align with B2B-3705 feature flags to preserve backward compatibility and prepare for increased GraphQL limits.
3 Commits • 2 Features
Mar 1, 2026March 2026: Delivered reliability and maintainability improvements for the SearchProducts GraphQL path, hardened upstream input handling, and streamlined local development onboarding for faster delivery. All changes align with B2B-3705 feature flags to preserve backward compatibility and prepare for increased GraphQL limits.
March 2026
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 delivered a robust enhancement to the quotes workflow in bigcommerce/b2b-buyer-portal by enabling CSV upload batching for large product SKUs. The change chunks CSV uploads into 50-item batches, bypassing backend API limits, merging results, and constructing quote line items without exposing errors to users. A feature flag gating (B2B-4231.chunk_product_searches_in_csv_upload) was introduced for controlled rollout and guarded in the central featureFlags registry. Unit-test scaffolding was prepared (referencing B2B-4277) and local verifications demonstrated that large uploads now succeed with batched requests. Rollout is in progress. Impact: enables quotes for extensive catalogs, reduces backend failures, and improves reliability and UX for mid-market customers. Business value includes faster quote turns, lower support overhead, and higher confidence in the platform’s ability to handle growth. Technologies/skills demonstrated: batching/concurrency handling in API calls, feature flagging and rollout governance, merging batched results, QA scaffolding and Jira traceability, cross-functional collaboration between frontend and backend teams.
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 delivered a robust enhancement to the quotes workflow in bigcommerce/b2b-buyer-portal by enabling CSV upload batching for large product SKUs. The change chunks CSV uploads into 50-item batches, bypassing backend API limits, merging results, and constructing quote line items without exposing errors to users. A feature flag gating (B2B-4231.chunk_product_searches_in_csv_upload) was introduced for controlled rollout and guarded in the central featureFlags registry. Unit-test scaffolding was prepared (referencing B2B-4277) and local verifications demonstrated that large uploads now succeed with batched requests. Rollout is in progress. Impact: enables quotes for extensive catalogs, reduces backend failures, and improves reliability and UX for mid-market customers. Business value includes faster quote turns, lower support overhead, and higher confidence in the platform’s ability to handle growth. Technologies/skills demonstrated: batching/concurrency handling in API calls, feature flagging and rollout governance, merging batched results, QA scaffolding and Jira traceability, cross-functional collaboration between frontend and backend teams.
Activity
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Quality Metrics
Correctness90.0%
Maintainability85.0%
Architecture85.0%
Performance85.0%
AI Usage25.0%
Skills & Technologies
Programming Languages
MarkdownTypeScript
Technical Skills
API integrationB2B systemsBackend DevelopmentFeature Flag ManagementGraphQLReactTypeScriptdocumentationfront end developmentlocal development setup
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