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digitarald

Developer

digitarald

digitarald@github.com

122 commits~2 files/commit

Performance

YoY:+4100%
2026Previous year

Insights

Key patterns and highlights from this developer's activity.

Peak MonthFeb'26336 performance
Growth Trend↑294%vs prior period
Avg Files/Commit2files per commit
Active Days71of 455 days
Top Repovscode122 commits

Effort Over Time

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

Bug Behavior

Beta

Bugs introduced vs. fixed over time.

No bugs introduced or fixed in this period.

Investment Quality

Beta

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

77%Productive TimeGrowth 75% + Fixes 25%
23%Maintenance Time
0%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
224522fThis commit introduces **new OpenTelemetry (OTel) metrics** to enhance **telemetry for AI-assisted code editing** within the **Copilot extension**. It adds capabilities to track **edit acceptance** and **code survival** for both inline edits and chat-based code modifications, providing granular insights into user interaction and the longevity of AI-generated code. Specifically, new OTel attributes are defined in `genAiAttributes.ts`, recording functions like `recordEditAcceptance` and `recordEditSurvivalFourGram` are implemented in `genAiMetrics.ts`, and these are integrated into user action handlers in `userActions.ts`. This **feature** provides critical data for evaluating the effectiveness and impact of AI suggestions, with new tests ensuring the accuracy of these metrics.Mar 284grow
121ed5fThis commit **refactors and simplifies the `chat.autoReply` feature** within the **Chat subsystem**. Instead of attempting to answer questions via a separate LLM call, `chat.autoReply` now **skips questions entirely**, providing a default "user not available" response, which significantly reduces complexity by removing ~450 lines of prompt engineering and parsing logic. This **simplification** primarily affects the `AskQuestionsTool` and the overall `chat.autoReply` mechanism. Furthermore, it **improves robustness** by implementing logic in `chatListRenderer` to skip any pending question carousels when `chat.autoReply` is enabled mid-session. Users will experience a more streamlined and less resource-intensive auto-reply experience.Mar 125maint
bf19d9dThis commit **fixes** a regression in the **Chat feature's `askQuestions` tool** by **restoring the default behavior** of `allowFreeformInput` to `true`. Previously, the tool implicitly defaulted to `false` when the model omitted this setting, preventing users from providing freeform text answers alongside options. This change ensures users can now provide freeform input by default, enhancing the flexibility and usability of the `askQuestions` tool. Additionally, the relevant schema and model descriptions are updated to accurately reflect this default setting.Mar 111waste
2bc3c71This commit **refines the documentation guidelines** for the **Copilot extension**, specifically within its prompt assets. It updates the `init.prompt.md` to instruct the agent to inventory existing documentation and link to it, rather than duplicating content. Additionally, the `workspace-instructions.md` clarifies the "Link, don't embed" principle, guiding the agent to search for existing documentation and only inline agent-critical information. This **documentation update** aims to improve the Copilot agent's efficiency and accuracy by promoting the reuse of existing knowledge and reducing redundancy.Mar 112maint
acd63e7This commit **fixes a bug** related to the **Chat Handoff Widget's visibility**, ensuring it is correctly derived from the chat response's `modeInfo.response.mode` and persists across updates. The **Chat Model** is enhanced with a new `updateResponse` method, allowing dynamic modification and persistence of a response's `modeInfo` and triggering UI updates. This change improves the accuracy of the chat interface by correctly displaying the handoff widget based on the current response state, and prepares the **Chat session operation log** for similar updates.Mar 98waste
1db0710This commit introduces a **new capability** to the **Copilot custom instructions panel** by adding a visual hint that informs users when they are operating within a **multi-root workspace**. This **enhancement** improves the user experience by providing crucial context directly within the UI, specifically within the `customInstructions.tsx` component. Furthermore, it ensures that **workspace folder information** is now included in attachment tags, which helps in scoping AI interactions more accurately. This change primarily affects the **Copilot extension's prompt system**, enhancing how it understands and responds to user prompts in complex project setups.Mar 41grow
278891aThis commit delivers **follow-up fixes and enhancements** for the **v2 taxonomy** within the **Copilot extension's prompt categorization system**. It **introduces a `taxonomyVersion` field** to telemetry events, specifically for prompt categorization, to accurately distinguish between v1 and v2 data. The changes also **resolve prompt formatting issues** by adding trailing newlines to ensure proper boundary handling with `SafetyRules` and standardize bullet formatting for signals in the `promptCategorizationTaxonomy.ts` file. This work is primarily **maintenance and enhancement**, improving data collection and consistency for the new taxonomy.Mar 23maint
14e8d65This commit **significantly improves the presentation of chat questions** within the **Chat UI's question carousel**. It **refactors the rendering logic** in `chatQuestionCarouselPart.ts` to display a distinct header as the question title, with the full question message, now supporting **multi-line content and markdown**, rendered separately below. This **enhancement** provides a clearer and more structured user experience for complex questions, with corresponding styling updates in `chatQuestionCarousel.css` and test coverage in `chatQuestionCarouselPart.test.ts`.Feb 273grow
cb41c06This commit **fixes Out Of Memory (OOM) errors** that occurred during **large workspace chunking and embedding operations** within the Copilot extension. It addresses the issue by **bounding concurrency** in the workspace embedding indexing process, specifically within `workspaceChunkEmbeddingsIndex.ts`, and by **reducing the SQLite cache size** in `workspaceChunkAndEmbeddingCache.ts`. This **bug fix** significantly improves the stability and reliability of the Copilot extension when processing extensive codebases, preventing crashes during resource-intensive tasks like `indexAllWorkspaceFiles`.Feb 262waste
ad83606This commit **enables custom agents for subagent tools by default** within the **Chat feature**. It updates the `ChatConfiguration.SubagentToolCustomAgents` setting in `src/vs/workbench/contrib/chat/browser/chat.contribution.ts` from `false` to `true`, and **removes its experimental tag**. This **enhancement** makes the custom agent capability for subagent tools readily available to all users without requiring manual activation of an experimental setting, thereby expanding the default functionality of the chat experience.Feb 241grow
bab865dThis commit **refactors** the **Copilot extension's configuration service** to prepare for experiment-based feature rollouts. Specifically, the `SwitchAgentEnabled` configuration setting is updated to support **experimentation (ExP)**, moving it from a simple boolean toggle to an experiment-driven control. This change enables the `switchAgent` functionality to be managed and deployed through A/B testing or staged rollouts, ensuring a more controlled and data-driven release process.Feb 242maint
327c831This commit **simplifies the Copilot agent architecture** by **removing the `PlanAgentExploreSubagentEnabled` feature flag** and making the **'Explore' subagent always active**. The `PlanAgentProvider` in `extensions/copilot/src/extension/agents/vscode-node/planAgentProvider.ts` is updated to unconditionally include and enable the 'Explore' subagent, eliminating previous conditional configuration checks. Consequently, the `switchAgentTool` in `extensions/copilot/src/extension/tools/vscode-node/switchAgentTool.ts` is refactored to remove its dependency on the configuration service for this subagent, streamlining its `constructor` and `invoke` methods. This **feature enhancement** ensures the **'Explore' subagent is consistently available** to all users, simplifying its management and usage within the Copilot extension.Feb 243grow
05cd5b7This commit **introduces a new `memory-leak-audit` skill** for the **AI coding agents**, enhancing their analytical capabilities. It **adds a new feature** by defining this skill within the `.github/skills/memory-leak-audit/SKILL.md` file, which outlines explicit rules and examples for agents to identify and prevent memory leaks. This enhancement significantly improves the **code quality and reliability** capabilities of the **AI coding agents** by equipping them with specialized knowledge for memory management. The new skill will enable agents to perform more thorough audits, leading to more robust and efficient software.Feb 241grow
3e137f4This commit **fixes telemetry reporting for agent properties during chat handoff events** within the **Chat feature**. It introduces a new shared utility, `getModeNameForTelemetry` in `src/vs/workbench/contrib/chat/common/chatModes.ts`, which hashes user-defined or local agent mode names to ensure **privacy-compliant telemetry**. This **refactoring** standardizes how agent mode names are reported, specifically updating the `chatWidget.ts` to use this new function for handoff events and removing a local telemetry function from `chatExecuteActions.ts`. The change ensures sensitive agent configuration details are not directly exposed in telemetry.Feb 233waste
aff4fd1Remove preview label from review agent settings (#3949)Feb 231–
b0f5fe1Merge pull request #297031 from microsoft/digitarald/rural-roosterFeb 230–
eeed167This commit **integrates the plan prompt directly into the application's codebase**, making it an intrinsic part of the system rather than an external configuration. This **refactoring** simplifies the management and deployment of the **plan prompt**, ensuring consistent behavior across all planning operations. It primarily affects the **prompt generation and planning subsystems**, potentially improving reliability and reducing external dependencies for prompt retrieval.Feb 231–
c760ee7This commit **updates the proposed instructions for API versioning**, refining the guidelines developers should follow when designing and implementing new API versions. It specifically impacts the **API development and documentation** processes, ensuring clearer and more consistent practices. This is a **documentation update** aimed at improving the overall clarity and maintainability of the project's API surface. The changes help standardize how new API versions are introduced, reducing potential confusion for both internal teams and external consumers.Feb 221–
7aa17fcThis commit introduces a **fix** to improve **telemetry data consistency** and **joinability** across various Copilot features. It ensures that telemetry events originating from prompt categorization and panel requests can be accurately linked by introducing a `telemetryMessageId`. This unique ID is generated for the first turn of a user interaction within the **conversation participants** (`chatParticipants.ts`) and then propagated through the `ChatParticipantRequestHandler` and `ChatTelemetryBuilder`. The `promptCategorizer.ts` now accepts and uses this ID, aligning its telemetry events with the main request ID, which significantly enhances the ability to analyze user interaction flows by providing a unified identifier for related telemetry.Feb 1911maint
1b40d15This commit performs a **refactoring** to **standardize the `userInvokable` property name** across the **Copilot extension's agent configuration**. It corrects a typo by renaming the property from `userInvokable` to `userInvocable` within the `AgentConfig` interface defined in `agentTypes.ts`. This change is consistently applied to the `buildAgentMarkdown` function and updated in the `BASE_EDIT_MODE_AGENT_CONFIG` and `BASE_EXPLORE_AGENT_CONFIG` definitions in `editModeAgentProvider.ts` and `exploreAgentProvider.ts`, respectively. The update ensures a consistent and accurate **agent configuration API**, improving the overall maintainability of the **Copilot agent system**.Feb 193maint
224522fMar 28

This commit introduces **new OpenTelemetry (OTel) metrics** to enhance **telemetry for AI-assisted code editing** within the **Copilot extension**. It adds capabilities to track **edit acceptance** and **code survival** for both inline edits and chat-based code modifications, providing granular insights into user interaction and the longevity of AI-generated code. Specifically, new OTel attributes are defined in `genAiAttributes.ts`, recording functions like `recordEditAcceptance` and `recordEditSurvivalFourGram` are implemented in `genAiMetrics.ts`, and these are integrated into user action handlers in `userActions.ts`. This **feature** provides critical data for evaluating the effectiveness and impact of AI suggestions, with new tests ensuring the accuracy of these metrics.

4 filesgrow
121ed5fMar 12

This commit **refactors and simplifies the `chat.autoReply` feature** within the **Chat subsystem**. Instead of attempting to answer questions via a separate LLM call, `chat.autoReply` now **skips questions entirely**, providing a default "user not available" response, which significantly reduces complexity by removing ~450 lines of prompt engineering and parsing logic. This **simplification** primarily affects the `AskQuestionsTool` and the overall `chat.autoReply` mechanism. Furthermore, it **improves robustness** by implementing logic in `chatListRenderer` to skip any pending question carousels when `chat.autoReply` is enabled mid-session. Users will experience a more streamlined and less resource-intensive auto-reply experience.

5 filesmaint
bf19d9dMar 11

This commit **fixes** a regression in the **Chat feature's `askQuestions` tool** by **restoring the default behavior** of `allowFreeformInput` to `true`. Previously, the tool implicitly defaulted to `false` when the model omitted this setting, preventing users from providing freeform text answers alongside options. This change ensures users can now provide freeform input by default, enhancing the flexibility and usability of the `askQuestions` tool. Additionally, the relevant schema and model descriptions are updated to accurately reflect this default setting.

1 fileswaste
2bc3c71Mar 11

This commit **refines the documentation guidelines** for the **Copilot extension**, specifically within its prompt assets. It updates the `init.prompt.md` to instruct the agent to inventory existing documentation and link to it, rather than duplicating content. Additionally, the `workspace-instructions.md` clarifies the "Link, don't embed" principle, guiding the agent to search for existing documentation and only inline agent-critical information. This **documentation update** aims to improve the Copilot agent's efficiency and accuracy by promoting the reuse of existing knowledge and reducing redundancy.

2 filesmaint
acd63e7Mar 9

This commit **fixes a bug** related to the **Chat Handoff Widget's visibility**, ensuring it is correctly derived from the chat response's `modeInfo.response.mode` and persists across updates. The **Chat Model** is enhanced with a new `updateResponse` method, allowing dynamic modification and persistence of a response's `modeInfo` and triggering UI updates. This change improves the accuracy of the chat interface by correctly displaying the handoff widget based on the current response state, and prepares the **Chat session operation log** for similar updates.

8 fileswaste
1db0710Mar 4

This commit introduces a **new capability** to the **Copilot custom instructions panel** by adding a visual hint that informs users when they are operating within a **multi-root workspace**. This **enhancement** improves the user experience by providing crucial context directly within the UI, specifically within the `customInstructions.tsx` component. Furthermore, it ensures that **workspace folder information** is now included in attachment tags, which helps in scoping AI interactions more accurately. This change primarily affects the **Copilot extension's prompt system**, enhancing how it understands and responds to user prompts in complex project setups.

1 filesgrow
278891aMar 2

This commit delivers **follow-up fixes and enhancements** for the **v2 taxonomy** within the **Copilot extension's prompt categorization system**. It **introduces a `taxonomyVersion` field** to telemetry events, specifically for prompt categorization, to accurately distinguish between v1 and v2 data. The changes also **resolve prompt formatting issues** by adding trailing newlines to ensure proper boundary handling with `SafetyRules` and standardize bullet formatting for signals in the `promptCategorizationTaxonomy.ts` file. This work is primarily **maintenance and enhancement**, improving data collection and consistency for the new taxonomy.

3 filesmaint
14e8d65Feb 27

This commit **significantly improves the presentation of chat questions** within the **Chat UI's question carousel**. It **refactors the rendering logic** in `chatQuestionCarouselPart.ts` to display a distinct header as the question title, with the full question message, now supporting **multi-line content and markdown**, rendered separately below. This **enhancement** provides a clearer and more structured user experience for complex questions, with corresponding styling updates in `chatQuestionCarousel.css` and test coverage in `chatQuestionCarouselPart.test.ts`.

3 filesgrow
cb41c06Feb 26

This commit **fixes Out Of Memory (OOM) errors** that occurred during **large workspace chunking and embedding operations** within the Copilot extension. It addresses the issue by **bounding concurrency** in the workspace embedding indexing process, specifically within `workspaceChunkEmbeddingsIndex.ts`, and by **reducing the SQLite cache size** in `workspaceChunkAndEmbeddingCache.ts`. This **bug fix** significantly improves the stability and reliability of the Copilot extension when processing extensive codebases, preventing crashes during resource-intensive tasks like `indexAllWorkspaceFiles`.

2 fileswaste
ad83606Feb 24

This commit **enables custom agents for subagent tools by default** within the **Chat feature**. It updates the `ChatConfiguration.SubagentToolCustomAgents` setting in `src/vs/workbench/contrib/chat/browser/chat.contribution.ts` from `false` to `true`, and **removes its experimental tag**. This **enhancement** makes the custom agent capability for subagent tools readily available to all users without requiring manual activation of an experimental setting, thereby expanding the default functionality of the chat experience.

1 filesgrow
bab865dFeb 24

This commit **refactors** the **Copilot extension's configuration service** to prepare for experiment-based feature rollouts. Specifically, the `SwitchAgentEnabled` configuration setting is updated to support **experimentation (ExP)**, moving it from a simple boolean toggle to an experiment-driven control. This change enables the `switchAgent` functionality to be managed and deployed through A/B testing or staged rollouts, ensuring a more controlled and data-driven release process.

2 filesmaint
327c831Feb 24

This commit **simplifies the Copilot agent architecture** by **removing the `PlanAgentExploreSubagentEnabled` feature flag** and making the **'Explore' subagent always active**. The `PlanAgentProvider` in `extensions/copilot/src/extension/agents/vscode-node/planAgentProvider.ts` is updated to unconditionally include and enable the 'Explore' subagent, eliminating previous conditional configuration checks. Consequently, the `switchAgentTool` in `extensions/copilot/src/extension/tools/vscode-node/switchAgentTool.ts` is refactored to remove its dependency on the configuration service for this subagent, streamlining its `constructor` and `invoke` methods. This **feature enhancement** ensures the **'Explore' subagent is consistently available** to all users, simplifying its management and usage within the Copilot extension.

3 filesgrow
05cd5b7Feb 24

This commit **introduces a new `memory-leak-audit` skill** for the **AI coding agents**, enhancing their analytical capabilities. It **adds a new feature** by defining this skill within the `.github/skills/memory-leak-audit/SKILL.md` file, which outlines explicit rules and examples for agents to identify and prevent memory leaks. This enhancement significantly improves the **code quality and reliability** capabilities of the **AI coding agents** by equipping them with specialized knowledge for memory management. The new skill will enable agents to perform more thorough audits, leading to more robust and efficient software.

1 filesgrow
3e137f4Feb 23

This commit **fixes telemetry reporting for agent properties during chat handoff events** within the **Chat feature**. It introduces a new shared utility, `getModeNameForTelemetry` in `src/vs/workbench/contrib/chat/common/chatModes.ts`, which hashes user-defined or local agent mode names to ensure **privacy-compliant telemetry**. This **refactoring** standardizes how agent mode names are reported, specifically updating the `chatWidget.ts` to use this new function for handoff events and removing a local telemetry function from `chatExecuteActions.ts`. The change ensures sensitive agent configuration details are not directly exposed in telemetry.

3 fileswaste
aff4fd1Feb 23

Remove preview label from review agent settings (#3949)

1 files–
b0f5fe1Feb 23

Merge pull request #297031 from microsoft/digitarald/rural-rooster

0 files–
eeed167Feb 23

This commit **integrates the plan prompt directly into the application's codebase**, making it an intrinsic part of the system rather than an external configuration. This **refactoring** simplifies the management and deployment of the **plan prompt**, ensuring consistent behavior across all planning operations. It primarily affects the **prompt generation and planning subsystems**, potentially improving reliability and reducing external dependencies for prompt retrieval.

1 files–
c760ee7Feb 22

This commit **updates the proposed instructions for API versioning**, refining the guidelines developers should follow when designing and implementing new API versions. It specifically impacts the **API development and documentation** processes, ensuring clearer and more consistent practices. This is a **documentation update** aimed at improving the overall clarity and maintainability of the project's API surface. The changes help standardize how new API versions are introduced, reducing potential confusion for both internal teams and external consumers.

1 files–
7aa17fcFeb 19

This commit introduces a **fix** to improve **telemetry data consistency** and **joinability** across various Copilot features. It ensures that telemetry events originating from prompt categorization and panel requests can be accurately linked by introducing a `telemetryMessageId`. This unique ID is generated for the first turn of a user interaction within the **conversation participants** (`chatParticipants.ts`) and then propagated through the `ChatParticipantRequestHandler` and `ChatTelemetryBuilder`. The `promptCategorizer.ts` now accepts and uses this ID, aligning its telemetry events with the main request ID, which significantly enhances the ability to analyze user interaction flows by providing a unified identifier for related telemetry.

11 filesmaint
1b40d15Feb 19

This commit performs a **refactoring** to **standardize the `userInvokable` property name** across the **Copilot extension's agent configuration**. It corrects a typo by renaming the property from `userInvokable` to `userInvocable` within the `AgentConfig` interface defined in `agentTypes.ts`. This change is consistently applied to the `buildAgentMarkdown` function and updated in the `BASE_EDIT_MODE_AGENT_CONFIG` and `BASE_EXPLORE_AGENT_CONFIG` definitions in `editModeAgentProvider.ts` and `exploreAgentProvider.ts`, respectively. The update ensures a consistent and accurate **agent configuration API**, improving the overall maintainability of the **Copilot agent system**.

3 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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