mckinsey/agents-at-scale-ark
Jan 2026 – Apr 2026
4 Months active
Languages Used
JavaScriptPythonTypeScriptYAMLGoReact
Technical Skills
API developmentCI/CDDevOpsKubernetesReactTesting
Giorgio Acquati
PROFILE
Giorgio Acquati
Worked on the mckinsey/agents-at-scale-ark repository, delivering features and fixes that improved workflow orchestration, team collaboration, and system reliability. Built dashboard visualizations and API endpoints using React and TypeScript to enhance workflow management and user onboarding. Strengthened CI/CD pipelines with GitHub Actions and Codecov integration, addressing race conditions and coverage accuracy. Enhanced backend reliability with Go and Python, introducing artifact storage options, strategy validation, and streaming improvements for long-running agents. Implemented telemetry for chat token usage and migrated scheduling strategies for consistency. The work emphasized robust testing, validation, and deployment resilience, supporting both frontend and backend development across Kubernetes environments.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
15Total
Bugs
3
Commits
15
Features
9
Lines of code
26,459
Activity Months4
Your Network
44 peopleShared Repositories
32
Work History
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
Correctness93.4%
Maintainability82.6%
Architecture88.0%
Performance82.6%
AI Usage57.4%
Skills & Technologies
Programming Languages
GoJavaScriptPythonReactTypeScriptYAML
Technical Skills
API DevelopmentAPI developmentCI/CDDevOpsDockerFastAPIGitHub ActionsHelmJavaScriptKubernetesNode.jsRBACReactTestingUI design
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline