google/adk-python
Oct 2025 – Apr 2026
7 Months active
Languages Used
PythonMarkdownTOML
Technical Skills
API DevelopmentAPI IntegrationAPI developmentArtifact ManagementBackend DevelopmentCode Execution
Kathy Wu
PROFILE
Kathy Wu
Kathy Wu developed and maintained core automation and agent tooling for the google/adk-python repository over seven months, delivering 47 features and resolving 29 bugs. She focused on backend development, API integration, and authentication, building modular toolsets for skill and agent management, and enhancing reliability through robust error handling and asynchronous programming with Python and Asyncio. Her work included expanding the Agent Registry, improving credential and session management, and strengthening security for cloud deployments. By consolidating code, refining CLI workflows, and introducing scalable resource loading, Kathy enabled safer, more maintainable automation and streamlined onboarding for developers using Google Cloud Platform services.
Overall Statistics
Feature vs Bugs
62%Features
Repository Contributions
90Total
Bugs
29
Commits
90
Features
47
Lines of code
13,874
Activity Months7
Your Network
4583 peopleSame Organization
@google.com4423
Benedict OdaiMember
Craig IngramMember
KayyuriMember
Scott SuarezMember
Agent2Agent (A2A) BotMember
Andreas AbelMember
Aadi KapurMember
Aadish GoelMember
Aahil MehtaMember
Shared Repositories
160
Work History
April 2026
20 Commits • 8 Features
Apr 1, 2026April 2026 monthly summary for google/adk-python: Delivered feature-rich Agent Registry improvements, hardened security and auth flows, expanded CLI capabilities, and reliability enhancements to accelerate client onboarding and deployment. key work included model-endpoint support, weather-skill consolidation, MCP toolset enhancements, and Express mode flow refinements.
20 Commits • 8 Features
Apr 1, 2026April 2026 monthly summary for google/adk-python: Delivered feature-rich Agent Registry improvements, hardened security and auth flows, expanded CLI capabilities, and reliability enhancements to accelerate client onboarding and deployment. key work included model-endpoint support, weather-skill consolidation, MCP toolset enhancements, and Express mode flow refinements.
April 2026
March 2026
14 Commits • 10 Features
Mar 1, 2026Monthly work summary for 2026-03 (google/adk-python): Focused on modularizing tooling, expanding SkillToolset capabilities, and hardening runtime behavior to improve developer productivity and platform reliability. Key business outcomes include clearer package boundaries, safer deprecation paths, and enhanced tooling support for ADK-driven workflows.
March 2026
14 Commits • 10 Features
Mar 1, 2026Monthly work summary for 2026-03 (google/adk-python): Focused on modularizing tooling, expanding SkillToolset capabilities, and hardening runtime behavior to improve developer productivity and platform reliability. Key business outcomes include clearer package boundaries, safer deprecation paths, and enhanced tooling support for ADK-driven workflows.
February 2026
18 Commits • 9 Features
Feb 1, 2026February 2026: Delivered a set of ADK Python enhancements focused on skill tooling, resource loading, and agent discovery, with reliability improvements to session management and tool resolution. Key outcome: faster, safer skill deployments and more scalable automation across MCP and agent ecosystems.
18 Commits • 9 Features
Feb 1, 2026February 2026: Delivered a set of ADK Python enhancements focused on skill tooling, resource loading, and agent discovery, with reliability improvements to session management and tool resolution. Key outcome: faster, safer skill deployments and more scalable automation across MCP and agent ecosystems.
February 2026
January 2026
15 Commits • 11 Features
Jan 1, 2026January 2026 monthly summary for google/adk-python focusing on business value and technical achievements across features, fixes, and tooling improvements.
January 2026
15 Commits • 11 Features
Jan 1, 2026January 2026 monthly summary for google/adk-python focusing on business value and technical achievements across features, fixes, and tooling improvements.
December 2025
5 Commits • 2 Features
Dec 1, 2025December 2025: Delivered production-ready updates to the API Registry tooling in google/adk-python, focusing on production stability, reliability, and maintainability. Implemented a production URL switch, consolidated reliability improvements, and strengthened authentication/header handling, enabling safer live deployments and smoother maintenance.
5 Commits • 2 Features
Dec 1, 2025December 2025: Delivered production-ready updates to the API Registry tooling in google/adk-python, focusing on production stability, reliability, and maintainability. Implemented a production URL switch, consolidated reliability improvements, and strengthened authentication/header handling, enabling safer live deployments and smoother maintenance.
December 2025
November 2025
12 Commits • 3 Features
Nov 1, 2025November 2025 (Month: 2025-11) — google/adk-python. Delivered high-value features for live event streaming and agent tooling, hardened MCP reliability, and expanded tool discovery. Key features: token usage tracking for live events in bidi streaming (populating usage_metadata); MCP prompts support via McpInstructionProvider; and APIRegistryToolset to pull Cloud API registry tools into the ADK. Major bug fixes: improved stability and reliability of MCP tooling with timeouts, reduced logging spam for unauthenticated tools, and broader retry/error handling to prevent hangs. Impact: enhanced observability of live events, more capable and resilient agent prompts, and faster onboarding of external tools, driving automation and developer efficiency. Skills demonstrated: Python, asynchronous programming, robust error handling and retries, logging discipline, and integration with Cloud API registry and MCP protocol.
November 2025
12 Commits • 3 Features
Nov 1, 2025November 2025 (Month: 2025-11) — google/adk-python. Delivered high-value features for live event streaming and agent tooling, hardened MCP reliability, and expanded tool discovery. Key features: token usage tracking for live events in bidi streaming (populating usage_metadata); MCP prompts support via McpInstructionProvider; and APIRegistryToolset to pull Cloud API registry tools into the ADK. Major bug fixes: improved stability and reliability of MCP tooling with timeouts, reduced logging spam for unauthenticated tools, and broader retry/error handling to prevent hangs. Impact: enhanced observability of live events, more capable and resilient agent prompts, and faster onboarding of external tools, driving automation and developer efficiency. Skills demonstrated: Python, asynchronous programming, robust error handling and retries, logging discipline, and integration with Cloud API registry and MCP protocol.
October 2025
6 Commits • 4 Features
Oct 1, 2025Monthly summary for 2025-10: This period delivered security, configurability, and visibility enhancements in google/adk-python, driving safer tool usage, flexible integration, and improved UI feedback. Key features and fixes were implemented to strengthen MCP tool execution governance, enable dynamic per-request headers, make visualizations reliably surfaced as artifacts, fix a critical import path in a live sample, and extend credential management with a service account exchanger. These changes collectively improve security posture, developer productivity, and end-user visibility, while expanding integration capabilities with Google Cloud services.
6 Commits • 4 Features
Oct 1, 2025Monthly summary for 2025-10: This period delivered security, configurability, and visibility enhancements in google/adk-python, driving safer tool usage, flexible integration, and improved UI feedback. Key features and fixes were implemented to strengthen MCP tool execution governance, enable dynamic per-request headers, make visualizations reliably surfaced as artifacts, fix a critical import path in a live sample, and extend credential management with a service account exchanger. These changes collectively improve security posture, developer productivity, and end-user visibility, while expanding integration capabilities with Google Cloud services.
October 2025
Activity
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Quality Metrics
Correctness95.4%
Maintainability88.8%
Architecture90.4%
Performance87.8%
AI Usage27.6%
Skills & Technologies
Programming Languages
MarkdownPythonTOML
Technical Skills
AI DevelopmentAPI DevelopmentAPI IntegrationAPI developmentAPI integrationArtifact ManagementAsynchronous ProgrammingAsyncioAuthenticationBackend DevelopmentCLI DevelopmentCLI developmentChangelog ManagementCloud ComputingCloud Deployment
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