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Erben Mo

PROFILE

Erben Mo

Erben Mo developed a scalable DynamoDB MCP Server for the awslabs/mcp repository, introducing a new control and data plane backend with table management, item operations, and backup capabilities. Leveraging Python, FastAPI, and Docker, Erben established robust project scaffolding, comprehensive test coverage, and streamlined deployment workflows. The work included architectural refactoring for clearer module organization and improved version management. In the aws/amazon-q-developer-cli repository, Erben addressed edge-case failures in file matching by refining glob pattern logic and expanding tests to handle trailing slashes. This focused engineering improved reliability and maintainability, demonstrating depth in backend service design and file system operations.

Overall Statistics

Feature vs Bugs

50%Features

Repository Contributions

3Total
Bugs
1
Commits
3
Features
1
Lines of code
4,120
Activity Months2

Work History

September 2025

1 Commits

Sep 1, 2025

September 2025: Delivered a targeted bug fix in aws/amazon-q-developer-cli to improve glob-based file matching when paths include trailing slashes. The change trims trailing slashes prior to glob construction and expands test coverage to ensure correct directory matching across various path formats, reducing false positives and improving reliability for end users.

May 2025

2 Commits • 1 Features

May 1, 2025

May 2025 monthly summary for awslabs/mcp: Key features delivered include the DynamoDB MCP Server, introducing a new control/data plane server with table management, item operations, query/scan, and backup/restore capabilities, plus project scaffolding, a Dockerfile, and tests. Major bugs fixed: none identified as blockers; a minor typo fix in README and a module rename (dynamodb_server -> server) were completed as part of the feature work. Overall impact: establishes a scalable DynamoDB interaction layer within MCP, enabling faster development cycles, safer deployments, and clearer architecture, with tests and Docker deployment supporting reliability. Technologies/skills demonstrated: architectural refactor, backend service design, Docker tooling, test coverage, and version management.

Activity

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Quality Metrics

Correctness93.4%
Maintainability93.4%
Architecture93.4%
Performance100.0%
AI Usage33.4%

Skills & Technologies

Programming Languages

MarkdownPythonRust

Technical Skills

AWS SDK (Boto3)CI/CD (Pre-commit hooks)Code OrganizationDockerDynamoDBFastAPIFile System OperationsGlob Pattern MatchingMCP FrameworkPython Packaging (Hatchling, Pyproject.toml)RefactoringTestingTesting (Pytest, Moto)Version Management

Repositories Contributed To

2 repos

Overview of all repositories you've contributed to across your timeline

awslabs/mcp

May 2025 May 2025
1 Month active

Languages Used

MarkdownPython

Technical Skills

AWS SDK (Boto3)CI/CD (Pre-commit hooks)Code OrganizationDockerDynamoDBFastAPI

aws/amazon-q-developer-cli

Sep 2025 Sep 2025
1 Month active

Languages Used

Rust

Technical Skills

File System OperationsGlob Pattern MatchingTesting

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