metabase/metabase
Jan 2026 – Jul 2026
7 Months active
Languages Used
CSSClojureJSONJavaScriptMarkdownTypeScriptHTMLYAML
Technical Skills
CSSClojureReactReduxTypeScriptUI/UX design
Maksym Yakubych
PROFILE
Maksym Yakubych
Over seven months, contributed to the metabase/metabase repository by delivering 29 features and resolving 26 bugs, focusing on AI integration, data visualization, and user experience improvements. Built and refined Metabot AI workflows, enhanced Slack and email integrations, and implemented robust API development for both backend and frontend systems using Clojure, React, and TypeScript. Improved onboarding, analytics review, and configuration management through targeted UI/UX enhancements and comprehensive testing, including unit and end-to-end tests. Prioritized maintainability and business value by streamlining admin workflows, optimizing performance, and ensuring reliable data complexity reporting, resulting in more accessible and scalable analytics for enterprise users.
Overall Statistics
Feature vs Bugs
53%Features
Repository Contributions
69Total
Bugs
26
Commits
69
Features
29
Lines of code
25,563
Activity Months7
Work History
July 2026
1 Commits • 1 Features
Jul 1, 2026July 2026: Delivered a focused UI/UX improvement for Metabase Stats page to enhance readability of data complexity. The change moves the data complexity section lower on the page, reduces font size, and shortens copy to streamline information density while preserving necessary details. Tied to BOT-1797, implemented in commit 7d1f271280e1f8ff6bd71590eb83b287355d9bda, with tests updated to cover the UI changes and verification steps included in the PR. Business value: Faster, clearer analytics review for admins and data teams; reduced cognitive load without increasing page complexity; improved test coverage to mitigate regressions and support confident releases.
1 Commits • 1 Features
Jul 1, 2026July 2026: Delivered a focused UI/UX improvement for Metabase Stats page to enhance readability of data complexity. The change moves the data complexity section lower on the page, reduces font size, and shortens copy to streamline information density while preserving necessary details. Tied to BOT-1797, implemented in commit 7d1f271280e1f8ff6bd71590eb83b287355d9bda, with tests updated to cover the UI changes and verification steps included in the PR. Business value: Faster, clearer analytics review for admins and data teams; reduced cognitive load without increasing page complexity; improved test coverage to mitigate regressions and support confident releases.
July 2026
June 2026
4 Commits • 4 Features
Jun 1, 2026June 2026 (metabase/metabase) delivered a focused set of Metabot enhancements that streamline user workflows, unify administration, and enrich in-chat data visualization. Key features include a copy button for Metabot code snippets, Slackbot integration using the internal Metabot ID with admin UI configuration, a full-screen AI Exploration page for Metabot, and inline chart rendering within the Metabot chat interface. All changes shipped with updated tests and verification steps, with emphasis on reliability and user impact. These changes reduce operational overhead, improve embeddability, and accelerate AI-assisted data exploration, driving faster onboarding and higher adoption of Metabot features.
June 2026
4 Commits • 4 Features
Jun 1, 2026June 2026 (metabase/metabase) delivered a focused set of Metabot enhancements that streamline user workflows, unify administration, and enrich in-chat data visualization. Key features include a copy button for Metabot code snippets, Slackbot integration using the internal Metabot ID with admin UI configuration, a full-screen AI Exploration page for Metabot, and inline chart rendering within the Metabot chat interface. All changes shipped with updated tests and verification steps, with emphasis on reliability and user impact. These changes reduce operational overhead, improve embeddability, and accelerate AI-assisted data exploration, driving faster onboarding and higher adoption of Metabot features.
May 2026
15 Commits • 4 Features
May 1, 2026May 2026 focused on delivering reliable, user-friendly AI capabilities and strengthening configuration UX, while tightening testing and data visibility features. Key features delivered include Metabot AI features and UX enhancements with consolidated AI enablement, improved error handling, and a new configure flow for API providers. We also introduced a dedicated MCP/Agent API settings page to improve API configuration management, and expanded data visibility with a UI for data complexity scores including color coding and the last calculated date. On the testing and reliability front, AI usage tests were refactored toward unit tests to improve maintainability, and mock-server testing was used to validate AI workflows. Major fixes include Metabot chart generation from documents and multiple UI/UX polish items that reduced frictions (scroll behaviors, run button labeling, and model-path display). Overall impact: higher AI adoption, reduced configuration/setup friction, and more reliable analytics pipelines. Technologies/skills demonstrated: API integration, front-end UX design, test automation, mock-server testing, and data-visualization UI enhancements.
15 Commits • 4 Features
May 1, 2026May 2026 focused on delivering reliable, user-friendly AI capabilities and strengthening configuration UX, while tightening testing and data visibility features. Key features delivered include Metabot AI features and UX enhancements with consolidated AI enablement, improved error handling, and a new configure flow for API providers. We also introduced a dedicated MCP/Agent API settings page to improve API configuration management, and expanded data visibility with a UI for data complexity scores including color coding and the last calculated date. On the testing and reliability front, AI usage tests were refactored toward unit tests to improve maintainability, and mock-server testing was used to validate AI workflows. Major fixes include Metabot chart generation from documents and multiple UI/UX polish items that reduced frictions (scroll behaviors, run button labeling, and model-path display). Overall impact: higher AI adoption, reduced configuration/setup friction, and more reliable analytics pipelines. Technologies/skills demonstrated: API integration, front-end UX design, test automation, mock-server testing, and data-visualization UI enhancements.
May 2026
April 2026
10 Commits • 7 Features
Apr 1, 2026April 2026 monthly summary for the Metabase team. Focused on delivering a cohesive and business-value driven AI capability, improving transition paths, and tightening reliability around billing, tests, and UX.
April 2026
10 Commits • 7 Features
Apr 1, 2026April 2026 monthly summary for the Metabase team. Focused on delivering a cohesive and business-value driven AI capability, improving transition paths, and tightening reliability around billing, tests, and UX.
March 2026
6 Commits • 4 Features
Mar 1, 2026March 2026 (2026-03) monthly summary for metabase/metabase: Delivered five key feature enhancements and targeted bug fixes to Metabot, improving UX, reliability, and enterprise readiness. Highlights include an enhanced Mentions Menu, self-hosted provider configuration with Anthropic key, NLQ profile accuracy in SQL Editor requests, improved transform error reporting, and an in-editor SQL fixes workflow. Major bugs resolved include correct label updates for pasted SmartLink references and accurate NLQ profile application during SQL editor interactions. These efforts reduce support friction, boost adoption of Metabot features, and strengthen maintainability across OSS and enterprise deployments.
6 Commits • 4 Features
Mar 1, 2026March 2026 (2026-03) monthly summary for metabase/metabase: Delivered five key feature enhancements and targeted bug fixes to Metabot, improving UX, reliability, and enterprise readiness. Highlights include an enhanced Mentions Menu, self-hosted provider configuration with Anthropic key, NLQ profile accuracy in SQL Editor requests, improved transform error reporting, and an in-editor SQL fixes workflow. Major bugs resolved include correct label updates for pasted SmartLink references and accurate NLQ profile application during SQL editor interactions. These efforts reduce support friction, boost adoption of Metabot features, and strengthen maintainability across OSS and enterprise deployments.
March 2026
February 2026
20 Commits • 4 Features
Feb 1, 2026February 2026: Focused on reliability, UX polish, and feature parity across dashboards, charts, and Metabot integrations. Delivered critical fixes to gauge chart rendering in emails/slack and dark themes; repaired dashboard save/edit flow after reverts and funnel reordering; introduced new user enhancements in documents and Metabot (duplicate option, tooltips, and @ mentions); and delivered UI polish for loaders, email centering, and export visuals.
February 2026
20 Commits • 4 Features
Feb 1, 2026February 2026: Focused on reliability, UX polish, and feature parity across dashboards, charts, and Metabot integrations. Delivered critical fixes to gauge chart rendering in emails/slack and dark themes; repaired dashboard save/edit flow after reverts and funnel reordering; introduced new user enhancements in documents and Metabot (duplicate option, tooltips, and @ mentions); and delivered UI polish for loaders, email centering, and export visuals.
January 2026
13 Commits • 5 Features
Jan 1, 2026January 2026 Monthly Summary for metabase/metabase: delivered a set of user-focused features and stability fixes that enhance cross-team collaboration, dark-mode UX, and enterprise branding, while improving performance and reliability of charts, PDFs, and data pickers. The work emphasizes business value through improved onboarding workflows, consistent UI, faster feedback loops, and scalable UI components.
13 Commits • 5 Features
Jan 1, 2026January 2026 Monthly Summary for metabase/metabase: delivered a set of user-focused features and stability fixes that enhance cross-team collaboration, dark-mode UX, and enterprise branding, while improving performance and reliability of charts, PDFs, and data pickers. The work emphasizes business value through improved onboarding workflows, consistent UI, faster feedback loops, and scalable UI components.
January 2026
Activity
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Quality Metrics
Correctness93.6%
Maintainability82.4%
Architecture82.8%
Performance82.4%
AI Usage34.8%
Skills & Technologies
Programming Languages
CSSClojureHTMLJSONJavaScriptMarkdownTypeScriptYAML
Technical Skills
AI integrationAPI developmentAPI integrationCSSClojureCypressD3.jsJSON editingJavaScriptNodeNode.jsReactReduxTypeScriptUI/UX design
Repositories Contributed To
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