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Eleanor Boyd

Developer

Eleanor Boyd

26030610+eleanorjboyd@users.noreply.github.com

74 commits~5 files/commit

Performance

YoY:+700%
2026Previous year

Insights

Key patterns and highlights from this developer's activity.

Peak MonthJan'26127 performance
Growth Trend↑696%vs prior period
Avg Files/Commit5files per commit
Active Days24of 455 days
Top Repovscode74 commits

Effort Over Time

Breakdown of growth, maintenance, and fixes effort over time.

Bug Behavior

Beta

Bugs introduced vs. fixed over time.

Investment Quality

Beta

Reclassifies engineering effort based on bug attribution. Commits that introduced bugs are retrospectively counted as poor investments.

69%Productive TimeGrowth 92% + Fixes 8%
22%Maintenance Time
9%Wasted Time
How it works

Methodology

Investment Quality reclassifies engineering effort based on bug attribution data. Commits identified as buggy origins (those that introduced bugs later fixed by someone) have their grow and maintenance time moved into the Wasted Time category. Their waste (fix commits) remains counted as productive. All other commits retain their standard classification: grow is productive, maintenance is maintenance, and waste (fixes) is productive.

Relationship to Growth / Maintenance / Fixes

The standard model classifies commits as Growth, Maintenance, or Fixes. Investment Quality adds a quality lens: a commit that introduced a bug is retrospectively counted as a poor investment — the engineering time spent on it was wasted because it ultimately required additional fix work. Fix commits (Fixes in the standard model) are reframed as productive, because fixing bugs is valuable work.

Proposed API Endpoint

Currently computed client-side from commit and bug attribution data. Ideal server-side endpoint:

POST /v1/organizations/{orgId}/investment-quality
Content-Type: application/json

Request:
{
  "startTime": "2025-01-01T00:00:00Z",
  "endTime": "2025-12-31T23:59:59Z",
  "bucketSize": "BUCKET_SIZE_MONTH",
  "groupBy": ["repository_id" | "deliverer_email"]
}

Response:
{
  "productivePct": 74,
  "maintenancePct": 18,
  "wastedPct": 8,
  "buckets": [
    {
      "bucketStart": "2025-01-01T00:00:00Z",
      "productive": 4.2,
      "maintenance": 1.8,
      "wasted": 0.6
    }
  ]
}

Recent Activity

Latest analyzed commits from this developer.

HashMessageDateFilesEffort
cef5addThis commit introduces **comprehensive support for the new `HiddenFamilyH` AI model family** within the **Copilot extension**. It primarily adds a **new agent prompt configuration** in `familyHPrompts.tsx` specifically tailored for `HiddenFamilyH`, detailing instructions for tool usage, markdown formatting, and linking. Concurrently, the `chatModelCapabilities.ts` module is updated to recognize the `HiddenFamilyH` model hash and extend model capability functions like `isHiddenFamilyH` to properly identify and support this new family. This **enhancement** allows the system to effectively prompt and leverage the unique features of the `HiddenFamilyH` model, improving its interaction and output.Mar 303grow
ff4fef2This commit **adds support for the Minimax family of models** within the **Copilot extension's chat model capabilities**. It updates the `modelSupportsMultiReplaceString` function in `extensions/copilot/src/platform/endpoint/common/chatModelCapabilities.ts` to recognize these models. This **new feature** ensures that the Copilot extension can correctly determine if Minimax models support multi-replace string operations, enabling more robust text manipulation features when using these specific models.Mar 261grow
d414aa8This commit **introduces a new feature** by extending the **Copilot extension's chat model capabilities** to include the Minimax family of models. Specifically, it updates the logic within `chatModelCapabilities.ts` to ensure Minimax models are recognized as supporting and being able to exclusively use string replacement operations. This change enables these models to fully leverage advanced text manipulation features, improving their integration and performance within the Copilot environment. The update affects how `modelSupportsReplaceString` and `modelCanUseReplaceStringExclusively` are evaluated for Minimax models.Mar 191grow
baf2716This commit introduces **significant new features and enhancements** to the **Chat subsystem**, expanding its core capabilities. It primarily focuses on improving **prompt syntax handling**, updating the `promptValidator` and `promptFileParser` to support new prompt structures and formats. This work also includes adjustments to the **chat widget's UI**, new **chat execution actions**, and updates to `chatModes` to integrate these expanded functionalities. Comprehensive test coverage has been added for these new features, ensuring a more powerful and flexible chat experience.Mar 1810–
823045aThis commit performs a **maintenance merge**, integrating all recent changes from the `main` branch into the `broad-unicorn` feature branch. The operation updates a wide array of files across the codebase, primarily affecting the **agent hosting infrastructure**, **browser view management**, and the **AI chat and sessions subsystems**. This includes modifications to CLI commands, server components, platform services, and numerous workbench contributions related to chat, sessions, and agent interactions. The merge ensures that the `broad-unicorn` branch is synchronized with the latest developments, providing a current and stable foundation for continued feature implementation.Mar 17178–
8e21770This commit primarily focuses on **maintenance and refactoring** within the **Chat feature**, specifically improving the robustness and user experience of **handoff functionality** and **prompt syntax validation**. It introduces a new validation rule to ensure chat handoff labels contain at least one alphanumeric character, preventing malformed labels, and refines duplicate label detection logic within `PromptValidator`. Additionally, the commit enhances `ExecuteHandoffAction` by implementing better error handling for URI parsing and improving handoff label matching through whitespace trimming, while also updating error logging practices in `chatWidget.ts`. These changes collectively improve the reliability and consistency of the chat experience, particularly when interacting with handoff commands.Mar 175maint
eb74de1This commit performs **maintenance** by **refactoring** comments within the **Chat contribution's browser actions**. It specifically **reduces the verbosity of comments** related to `sourceCustomAgent` within the `IGetHandoffsArgs` interface and before the source custom agent resolution in the `ExecuteHandoffAction`. This change is isolated to `src/vs/workbench/contrib/chat/browser/actions/chatExecuteActions.ts`. The primary goal is to improve code readability and clarity for developers, with **no functional impact** on the chat features.Mar 171maint
b2d94afThis commit introduces several **enhancements to the Chat feature**, primarily focusing on **handoff functionality and prompt syntax robustness**. It **implements new validation** within `PromptValidator` to detect and report case-insensitive duplicate handoff labels, while also **refining `PromptFileParser`** to gracefully skip handoffs defined with only whitespace labels. Furthermore, the commit **improves the `IExecuteHandoffArgs` interface** and agent resolution logic for `chatExecuteActions.ts`, and **adds comprehensive error logging** to `chatWidget.ts` for better observability of handoff execution failures. These changes collectively enhance the reliability, user experience, and diagnostic capabilities of the **Chat handoff system**.Mar 177grow
26674e1This commit introduces **new capabilities** for **chat handoffs**, enabling users to discover and execute alternative actions or contexts directly from the chat experience. It adds `GetHandoffsAction` and `ExecuteHandoffAction` to the **Chat** module's browser actions, along with the `executeHandoff` method to the `IChatWidget` interface and its implementation in `ChatWidget`. Supporting utilities like `getHandoffId` and `buildCustomAgentHandoffsInfo` are also included to manage handoff identification and information. This **new feature** significantly enhances the extensibility and interactivity of the chat system by allowing seamless transitions to other functionalities. Extensive unit tests have been added for both the common utilities and the new browser actions.Mar 176grow
eb0c660This commit introduces **support for Minimax models** within the `copilot` extension by adding **Minimax-specific agent prompts**. It provides new prompt definitions in `extensions/copilot/src/extension/prompts/node/agent/minimaxPrompts.tsx` that include detailed instructions for tool use and response formatting, which are then integrated into the overall prompt system via `allAgentPrompts.ts`. Additionally, a new utility function `isMinimaxFamily` was added to `chatModelCapabilities.ts` to correctly identify Minimax models. This **new capability** enables the `copilot` extension to generate more accurate and contextually relevant responses when interacting with Minimax-based AI.Mar 53grow
f552062This commit **updates documentation** within the **GitHub Copilot extension** to provide clearer guidance on model name formats. Specifically, it modifies the description for the `github.copilot.config.implementAgent.model` setting in `extensions/copilot/package.nls.json` to outline the required format for model names. Additionally, the example YAML for `handoffs` in `extensions/copilot/src/extension/promptFileContext/vscode-node/promptFileContextService.ts` is updated to include the `model` property and its format, clarifying how to configure models for prompt file contexts. This **documentation update** improves the usability and configurability of Copilot's model-related features by providing explicit instructions to users.Jan 302maint
daf5c34This commit **removes an experimental alternate Zai prompt configuration** from the **Copilot extension's prompt generation system**. It **refactors** the `extensions/copilot/src/extension/prompts/node/agent/zaiPrompts.tsx` module by eliminating the logic for resolving different system prompts, thereby standardizing the system prompt to `DefaultZaiAgentPrompt`. This **cleanup and maintenance** effort simplifies the prompt resolution process within the `ZaiPromptResolver` and `resolveSystemPrompt` functions. The change ensures a consistent and non-experimental prompt is always used for the Zai agent, streamlining the codebase by removing unused experimental pathways.Jan 294maint
e5035e9Isolated change to documentation; updates the endgame notebook with missing team members, with no impact on production systems or functionality.Jan 291–
a0b16aeMerge branch 'main' into close-wombatJan 290–
0e97d5aThis commit **refactors the agent provider architecture** within the **Copilot extension**, primarily by **removing the standalone `ImplementAgentProvider`**. Its responsibilities are now integrated into the **`PlanAgentProvider`**, which has been enhanced to **dynamically generate agent handoffs** and allow for **model overrides for the implementation agent** during these handoffs. This **refactoring and feature enhancement** centralizes control over agent configuration, providing greater flexibility for users to specify the implementation agent's model via the `implementAgent.model` setting. New tests for `planAgentProvider.spec.ts` validate this dynamic configuration, and documentation for `package.nls.json` is updated to reflect these changes.Jan 296maint
ede4c00This commit implements an unspecified **bug fix** to address an issue within the codebase. Due to the absence of file-level changes, the specific module or subsystem affected by this correction cannot be determined. Consequently, the precise semantic impact and any notable downstream effects remain unclear, as no code modifications are present in this commit.Jan 291–
57508a1This commit **updates the project's team roster** by incorporating previously unlisted members into the official records. It primarily affects **project documentation** or the **about page**, ensuring comprehensive recognition of all contributors. This is a **maintenance update** focused on data accuracy and completeness. The change improves transparency and acknowledges the full scope of team involvement in the project.Jan 291–
74db171Merge pull request #291337 from eleanorjboyd/rural-horseJan 280–
addbe63This commit contains isolated internal chore changes to the VS Code Chat feature's input mode picker and prompt validation logic. It has no direct user-facing impact or new capabilities.Jan 282–
032f6b9This **maintenance** commit **refactors** and updates documentation within the **Chat extension**. It improves code quality in the **Chat UI** by removing an unused constant and simplifying a filter condition within `modePickerActionItem.ts`. Concurrently, it enhances the accuracy of internal documentation for **Chat prompt parsing logic** by updating a comment in `promptFileParser.ts` to reflect a new model name. This work contributes to overall code clarity and maintainability across the chat features.Jan 282maint
cef5addMar 30

This commit introduces **comprehensive support for the new `HiddenFamilyH` AI model family** within the **Copilot extension**. It primarily adds a **new agent prompt configuration** in `familyHPrompts.tsx` specifically tailored for `HiddenFamilyH`, detailing instructions for tool usage, markdown formatting, and linking. Concurrently, the `chatModelCapabilities.ts` module is updated to recognize the `HiddenFamilyH` model hash and extend model capability functions like `isHiddenFamilyH` to properly identify and support this new family. This **enhancement** allows the system to effectively prompt and leverage the unique features of the `HiddenFamilyH` model, improving its interaction and output.

3 filesgrow
ff4fef2Mar 26

This commit **adds support for the Minimax family of models** within the **Copilot extension's chat model capabilities**. It updates the `modelSupportsMultiReplaceString` function in `extensions/copilot/src/platform/endpoint/common/chatModelCapabilities.ts` to recognize these models. This **new feature** ensures that the Copilot extension can correctly determine if Minimax models support multi-replace string operations, enabling more robust text manipulation features when using these specific models.

1 filesgrow
d414aa8Mar 19

This commit **introduces a new feature** by extending the **Copilot extension's chat model capabilities** to include the Minimax family of models. Specifically, it updates the logic within `chatModelCapabilities.ts` to ensure Minimax models are recognized as supporting and being able to exclusively use string replacement operations. This change enables these models to fully leverage advanced text manipulation features, improving their integration and performance within the Copilot environment. The update affects how `modelSupportsReplaceString` and `modelCanUseReplaceStringExclusively` are evaluated for Minimax models.

1 filesgrow
baf2716Mar 18

This commit introduces **significant new features and enhancements** to the **Chat subsystem**, expanding its core capabilities. It primarily focuses on improving **prompt syntax handling**, updating the `promptValidator` and `promptFileParser` to support new prompt structures and formats. This work also includes adjustments to the **chat widget's UI**, new **chat execution actions**, and updates to `chatModes` to integrate these expanded functionalities. Comprehensive test coverage has been added for these new features, ensuring a more powerful and flexible chat experience.

10 files–
823045aMar 17

This commit performs a **maintenance merge**, integrating all recent changes from the `main` branch into the `broad-unicorn` feature branch. The operation updates a wide array of files across the codebase, primarily affecting the **agent hosting infrastructure**, **browser view management**, and the **AI chat and sessions subsystems**. This includes modifications to CLI commands, server components, platform services, and numerous workbench contributions related to chat, sessions, and agent interactions. The merge ensures that the `broad-unicorn` branch is synchronized with the latest developments, providing a current and stable foundation for continued feature implementation.

178 files–
8e21770Mar 17

This commit primarily focuses on **maintenance and refactoring** within the **Chat feature**, specifically improving the robustness and user experience of **handoff functionality** and **prompt syntax validation**. It introduces a new validation rule to ensure chat handoff labels contain at least one alphanumeric character, preventing malformed labels, and refines duplicate label detection logic within `PromptValidator`. Additionally, the commit enhances `ExecuteHandoffAction` by implementing better error handling for URI parsing and improving handoff label matching through whitespace trimming, while also updating error logging practices in `chatWidget.ts`. These changes collectively improve the reliability and consistency of the chat experience, particularly when interacting with handoff commands.

5 filesmaint
eb74de1Mar 17

This commit performs **maintenance** by **refactoring** comments within the **Chat contribution's browser actions**. It specifically **reduces the verbosity of comments** related to `sourceCustomAgent` within the `IGetHandoffsArgs` interface and before the source custom agent resolution in the `ExecuteHandoffAction`. This change is isolated to `src/vs/workbench/contrib/chat/browser/actions/chatExecuteActions.ts`. The primary goal is to improve code readability and clarity for developers, with **no functional impact** on the chat features.

1 filesmaint
b2d94afMar 17

This commit introduces several **enhancements to the Chat feature**, primarily focusing on **handoff functionality and prompt syntax robustness**. It **implements new validation** within `PromptValidator` to detect and report case-insensitive duplicate handoff labels, while also **refining `PromptFileParser`** to gracefully skip handoffs defined with only whitespace labels. Furthermore, the commit **improves the `IExecuteHandoffArgs` interface** and agent resolution logic for `chatExecuteActions.ts`, and **adds comprehensive error logging** to `chatWidget.ts` for better observability of handoff execution failures. These changes collectively enhance the reliability, user experience, and diagnostic capabilities of the **Chat handoff system**.

7 filesgrow
26674e1Mar 17

This commit introduces **new capabilities** for **chat handoffs**, enabling users to discover and execute alternative actions or contexts directly from the chat experience. It adds `GetHandoffsAction` and `ExecuteHandoffAction` to the **Chat** module's browser actions, along with the `executeHandoff` method to the `IChatWidget` interface and its implementation in `ChatWidget`. Supporting utilities like `getHandoffId` and `buildCustomAgentHandoffsInfo` are also included to manage handoff identification and information. This **new feature** significantly enhances the extensibility and interactivity of the chat system by allowing seamless transitions to other functionalities. Extensive unit tests have been added for both the common utilities and the new browser actions.

6 filesgrow
eb0c660Mar 5

This commit introduces **support for Minimax models** within the `copilot` extension by adding **Minimax-specific agent prompts**. It provides new prompt definitions in `extensions/copilot/src/extension/prompts/node/agent/minimaxPrompts.tsx` that include detailed instructions for tool use and response formatting, which are then integrated into the overall prompt system via `allAgentPrompts.ts`. Additionally, a new utility function `isMinimaxFamily` was added to `chatModelCapabilities.ts` to correctly identify Minimax models. This **new capability** enables the `copilot` extension to generate more accurate and contextually relevant responses when interacting with Minimax-based AI.

3 filesgrow
f552062Jan 30

This commit **updates documentation** within the **GitHub Copilot extension** to provide clearer guidance on model name formats. Specifically, it modifies the description for the `github.copilot.config.implementAgent.model` setting in `extensions/copilot/package.nls.json` to outline the required format for model names. Additionally, the example YAML for `handoffs` in `extensions/copilot/src/extension/promptFileContext/vscode-node/promptFileContextService.ts` is updated to include the `model` property and its format, clarifying how to configure models for prompt file contexts. This **documentation update** improves the usability and configurability of Copilot's model-related features by providing explicit instructions to users.

2 filesmaint
daf5c34Jan 29

This commit **removes an experimental alternate Zai prompt configuration** from the **Copilot extension's prompt generation system**. It **refactors** the `extensions/copilot/src/extension/prompts/node/agent/zaiPrompts.tsx` module by eliminating the logic for resolving different system prompts, thereby standardizing the system prompt to `DefaultZaiAgentPrompt`. This **cleanup and maintenance** effort simplifies the prompt resolution process within the `ZaiPromptResolver` and `resolveSystemPrompt` functions. The change ensures a consistent and non-experimental prompt is always used for the Zai agent, streamlining the codebase by removing unused experimental pathways.

4 filesmaint
e5035e9Jan 29

Isolated change to documentation; updates the endgame notebook with missing team members, with no impact on production systems or functionality.

1 files–
a0b16aeJan 29

Merge branch 'main' into close-wombat

0 files–
0e97d5aJan 29

This commit **refactors the agent provider architecture** within the **Copilot extension**, primarily by **removing the standalone `ImplementAgentProvider`**. Its responsibilities are now integrated into the **`PlanAgentProvider`**, which has been enhanced to **dynamically generate agent handoffs** and allow for **model overrides for the implementation agent** during these handoffs. This **refactoring and feature enhancement** centralizes control over agent configuration, providing greater flexibility for users to specify the implementation agent's model via the `implementAgent.model` setting. New tests for `planAgentProvider.spec.ts` validate this dynamic configuration, and documentation for `package.nls.json` is updated to reflect these changes.

6 filesmaint
ede4c00Jan 29

This commit implements an unspecified **bug fix** to address an issue within the codebase. Due to the absence of file-level changes, the specific module or subsystem affected by this correction cannot be determined. Consequently, the precise semantic impact and any notable downstream effects remain unclear, as no code modifications are present in this commit.

1 files–
57508a1Jan 29

This commit **updates the project's team roster** by incorporating previously unlisted members into the official records. It primarily affects **project documentation** or the **about page**, ensuring comprehensive recognition of all contributors. This is a **maintenance update** focused on data accuracy and completeness. The change improves transparency and acknowledges the full scope of team involvement in the project.

1 files–
74db171Jan 28

Merge pull request #291337 from eleanorjboyd/rural-horse

0 files–
addbe63Jan 28

This commit contains isolated internal chore changes to the VS Code Chat feature's input mode picker and prompt validation logic. It has no direct user-facing impact or new capabilities.

2 files–
032f6b9Jan 28

This **maintenance** commit **refactors** and updates documentation within the **Chat extension**. It improves code quality in the **Chat UI** by removing an unused constant and simplifying a filter condition within `modePickerActionItem.ts`. Concurrently, it enhances the accuracy of internal documentation for **Chat prompt parsing logic** by updating a comment in `promptFileParser.ts` to reflect a new model name. This work contributes to overall code clarity and maintainability across the chat features.

2 filesmaint

Work Patterns

Beta

Commit activity distribution by hour and day of week. Shows when this developer is most active.

Collaboration

Beta

Developers who frequently work on the same files and symbols. Higher score means stronger code collaboration.

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