mckinsey/agents-at-scale-ark
Jan 2026 – Jun 2026
6 Months active
Languages Used
JavaScriptPythonTypeScriptYAMLGoReactMarkdown
Technical Skills
API developmentCI/CDDevOpsKubernetesReactTesting
Giorgio Acquati
PROFILE
Giorgio Acquati
Over six months, contributed to the mckinsey/agents-at-scale-ark repository by building and refining workflow orchestration, authentication, and collaboration features for agent-based systems. Developed API endpoints and UI components using Go, TypeScript, and React, enabling robust workflow visualization, secure OAuth flows, and reusable query templates. Enhanced CI/CD reliability with GitHub Actions and improved Kubernetes deployment through Helm and RBAC. Addressed runtime stability and streaming reliability for long-running agents, while implementing advanced selector-agent tooling and chat UX improvements. Focused on end-to-end testing, documentation, and validation, delivering features that improved developer onboarding, operational security, and the overall resilience of the platform.
Overall Statistics
Feature vs Bugs
84%Features
Repository Contributions
27Total
Bugs
3
Commits
27
Features
16
Lines of code
38,424
Activity Months6
Your Network
48 peopleWork History
June 2026
6 Commits • 3 Features
Jun 1, 2026June 2026 monthly summary for mckinsey/agents-at-scale-ark: Delivered cohesive MCP authentication improvements across CLI and dashboard, introduced Ark-native query templating for reusable workflows, and bootstrapped a dev-ready Kubernetes MCP server with secure RBAC. These changes deliver tangible business value: smoother onboarding for MCP authentication, reliable OAuth callbacks for both CLI and dashboard flows, programmable Ark queries with end-to-end lifecycle management, and a local-development environment that eases setup and secure access. Key outcomes include reduced auth failures, increased automation capabilities, and improved security posture.
6 Commits • 3 Features
Jun 1, 2026June 2026 monthly summary for mckinsey/agents-at-scale-ark: Delivered cohesive MCP authentication improvements across CLI and dashboard, introduced Ark-native query templating for reusable workflows, and bootstrapped a dev-ready Kubernetes MCP server with secure RBAC. These changes deliver tangible business value: smoother onboarding for MCP authentication, reliable OAuth callbacks for both CLI and dashboard flows, programmable Ark queries with end-to-end lifecycle management, and a local-development environment that eases setup and secure access. Key outcomes include reduced auth failures, increased automation capabilities, and improved security posture.
June 2026
May 2026
6 Commits • 4 Features
May 1, 2026May 2026 monthly summary for mckinsey/agents-at-scale-ark: Delivered high-value features across selector-agent tooling, chat UX, UI polish, and secure MCP OAuth flow. The work strengthened business value by enabling safer, more reliable agent orchestration, clearer user control during chats, and robust security/operability for MCP environments. Key features delivered include the introduction of advanced tooling for selector agents (select-next-speaker) with enum-based candidate validation and improved error handling, enforcement of ToolChoice to ensure tools are called when needed; a stop button in the chat interface to cancel ongoing conversations with coordinated backend cancellations; UI polish to align the Teams section with the page heading for a consistent dashboard experience; and comprehensive MCP OAuth orchestration (ark-api endpoints and the ark mcp auth CLI) with automatic token-secret provisioning, PKCE flow, and cross-provider compatibility. Major bugs fixed and resilience improvements include the reliable cancellation path for in-flight queries and improved visibility of cancellation events to users and operators. Technologies/skills demonstrated include: tool-based orchestration design (enum-based validation, ToolChoice enforcement), cross-provider integration (OpenAI, Azure, Anthropic, Bedrock), front-end/UX polish, robust OAuth/OIDC flow with PKCE, token handling on ark-api and CLI, and end-to-end testing coverage for new endpoints and CLI commands.
May 2026
6 Commits • 4 Features
May 1, 2026May 2026 monthly summary for mckinsey/agents-at-scale-ark: Delivered high-value features across selector-agent tooling, chat UX, UI polish, and secure MCP OAuth flow. The work strengthened business value by enabling safer, more reliable agent orchestration, clearer user control during chats, and robust security/operability for MCP environments. Key features delivered include the introduction of advanced tooling for selector agents (select-next-speaker) with enum-based candidate validation and improved error handling, enforcement of ToolChoice to ensure tools are called when needed; a stop button in the chat interface to cancel ongoing conversations with coordinated backend cancellations; UI polish to align the Teams section with the page heading for a consistent dashboard experience; and comprehensive MCP OAuth orchestration (ark-api endpoints and the ark mcp auth CLI) with automatic token-secret provisioning, PKCE flow, and cross-provider compatibility. Major bugs fixed and resilience improvements include the reliable cancellation path for in-flight queries and improved visibility of cancellation events to users and operators. Technologies/skills demonstrated include: tool-based orchestration design (enum-based validation, ToolChoice enforcement), cross-provider integration (OpenAI, Azure, Anthropic, Bedrock), front-end/UX polish, robust OAuth/OIDC flow with PKCE, token handling on ark-api and CLI, and end-to-end testing coverage for new endpoints and CLI commands.
April 2026
6 Commits • 2 Features
Apr 1, 2026April 2026 performance summary for mckinsey/agents-at-scale-ark: Delivered measurable value through features that improve user visibility and governance, plus reliability improvements for long-running agent workloads. Key achievements include telemetry-enabled token usage tracking in chat, strategy-management enhancements with UI warnings and a migration plan away from the deprecated graph strategy (including max-turns validation), and robust release/process reliability with serialization to prevent CI/CD race conditions and streaming fixes for long-running agents.
6 Commits • 2 Features
Apr 1, 2026April 2026 performance summary for mckinsey/agents-at-scale-ark: Delivered measurable value through features that improve user visibility and governance, plus reliability improvements for long-running agent workloads. Key achievements include telemetry-enabled token usage tracking in chat, strategy-management enhancements with UI warnings and a migration plan away from the deprecated graph strategy (including max-turns validation), and robust release/process reliability with serialization to prevent CI/CD race conditions and streaming fixes for long-running agents.
April 2026
March 2026
2 Commits • 1 Features
Mar 1, 2026March 2026: Delivered stability improvements for Ark broker and introduced a unified team strategy with looping for Sequential. Focused on reliability, deployment resilience, and cross-team consistency to reduce runtime errors and accelerate feature delivery across services.
March 2026
2 Commits • 1 Features
Mar 1, 2026March 2026: Delivered stability improvements for Ark broker and introduced a unified team strategy with looping for Sequential. Focused on reliability, deployment resilience, and cross-team consistency to reduce runtime errors and accelerate feature delivery across services.
February 2026
4 Commits • 3 Features
Feb 1, 2026February 2026 (Month: 2026-02) — Performance review-ready monthly summary for mckinsey/agents-at-scale-ark. Delivered core workflow orchestration and visualization improvements, hardened Argo Workflows integration with optional artifact storage, and launched a comprehensive Team Studio UI with collaboration features. These efforts drove business value by increasing workflow velocity, reducing storage-related failures, and accelerating multi-agent team collaboration across projects.
4 Commits • 3 Features
Feb 1, 2026February 2026 (Month: 2026-02) — Performance review-ready monthly summary for mckinsey/agents-at-scale-ark. Delivered core workflow orchestration and visualization improvements, hardened Argo Workflows integration with optional artifact storage, and launched a comprehensive Team Studio UI with collaboration features. These efforts drove business value by increasing workflow velocity, reducing storage-related failures, and accelerating multi-agent team collaboration across projects.
February 2026
January 2026
3 Commits • 3 Features
Jan 1, 2026January 2026 performance summary for the mckinsey/agents-at-scale-ark project. Focused on delivering observable improvements in workflow management, CI/CD reliability, and user onboarding. The changes align with business value by increasing visibility into workflows, strengthening code coverage integrity, and guiding users with documentation links.
January 2026
3 Commits • 3 Features
Jan 1, 2026January 2026 performance summary for the mckinsey/agents-at-scale-ark project. Focused on delivering observable improvements in workflow management, CI/CD reliability, and user onboarding. The changes align with business value by increasing visibility into workflows, strengthening code coverage integrity, and guiding users with documentation links.
Activity
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Quality Metrics
Correctness94.8%
Maintainability83.8%
Architecture89.6%
Performance83.8%
AI Usage53.4%
Skills & Technologies
Programming Languages
GoJavaScriptMarkdownPythonReactTypeScriptYAML
Technical Skills
API DevelopmentAPI designAPI developmentArgo WorkflowsCI/CDCLI DevelopmentDevOpsDockerDocumentationFastAPIGitHub ActionsGoHelmJavaScriptKubernetes
Repositories Contributed To
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