azure-ai-foundry/foundry-samples
Feb 2026 – Apr 2026
3 Months active
Languages Used
BicepPython
Technical Skills
AzureCloud DeploymentFlaskInfrastructure as CodeAzure BicepCloud Architecture
djetchev
PROFILE
Djetchev
Over three months, contributed to the azure-ai-foundry/foundry-samples repository by building secure, hybrid cloud architectures for AI workloads using Azure, Bicep, and Python. Developed private networking capabilities and hybrid deployment templates that integrated public AI services with private backend resources, enabling secure access and portal-based testing. Enhanced the MCP server with Flask and introduced HTTP/JSON-RPC transport for agent communication. Delivered OpenAPI tooling and FastAPI-based services to validate private VNet deployments, expanded test coverage, and improved DataProxy compatibility for A2A scenarios. Updated infrastructure as code templates, deployment guides, and documentation to support robust, end-to-end validation of private cloud resources.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
4Total
Bugs
1
Commits
4
Features
3
Lines of code
27,508
Activity Months3
Your Network
179 peopleWork History
April 2026
2 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary for azure-ai-foundry/foundry-samples: Focused on validating private VNet deployments and improving DataProxy compatibility for A2A communications.
2 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary for azure-ai-foundry/foundry-samples: Focused on validating private VNet deployments and improving DataProxy compatibility for A2A communications.
April 2026
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for azure-ai-foundry/foundry-samples focused on delivering a secure hybrid deployment path and improving testing workflows for private resources behind a VNet. Key work delivered includes a Bicep-based hybrid deployment template (Template 19) enabling private backends with a public AI Services endpoint, and MCP server components with HTTP transport to support JSON-RPC communication for Azure AI Foundry projects. Major fixes included upstream alignment, SDK usage corrections, and updated testing scripts/guides to reflect the new template and MCP server flow.
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for azure-ai-foundry/foundry-samples focused on delivering a secure hybrid deployment path and improving testing workflows for private resources behind a VNet. Key work delivered includes a Bicep-based hybrid deployment template (Template 19) enabling private backends with a public AI Services endpoint, and MCP server components with HTTP transport to support JSON-RPC communication for Azure AI Foundry projects. Major fixes included upstream alignment, SDK usage corrections, and updated testing scripts/guides to reflect the new template and MCP server flow.
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for azure-ai-foundry/foundry-samples. Focused on delivering private networking capabilities, hybrid architecture integration, and MCP server enhancements to enable secure, private AI workloads alongside public AI services. Streamlined testing workflows and updated infrastructure templates to reflect new security and deployment models, improving testing accuracy and deployment reliability for private resources.
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for azure-ai-foundry/foundry-samples. Focused on delivering private networking capabilities, hybrid architecture integration, and MCP server enhancements to enable secure, private AI workloads alongside public AI services. Streamlined testing workflows and updated infrastructure templates to reflect new security and deployment models, improving testing accuracy and deployment reliability for private resources.
February 2026
Activity
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Quality Metrics
Correctness85.0%
Maintainability80.0%
Architecture80.0%
Performance75.0%
AI Usage70.0%
Skills & Technologies
Programming Languages
BicepPython
Technical Skills
API developmentAzureAzure BicepAzure FunctionsCloud ArchitectureCloud DeploymentDevOpsFastAPIFlaskInfrastructure as CodeOpenAPIPythonbackend developmentunit testing
Repositories Contributed To
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