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James Hood

PROFILE

James Hood

James contributed to the aws/amazon-q-developer-cli and aws/amazon-q-developer-cli-autocomplete repositories by building robust CLI context and prompt management features. He implemented context management with profiles and context files, enabling users to customize and switch between AI-assisted workflows using Rust and JSON for configuration and file system operations. James enhanced the prompt management user experience by improving error handling and integrating file-based and MCP prompts, streamlining prompt discovery and debugging. He also refactored prompt argument processing to handle missing definitions and user input safely, adding comprehensive unit tests to ensure reliability. His work demonstrated depth in CLI development and prompt engineering.

Overall Statistics

Feature vs Bugs

67%Features

Repository Contributions

3Total
Bugs
1
Commits
3
Features
2
Lines of code
3,655
Activity Months3

Work History

October 2025

1 Commits

Oct 1, 2025

October 2025 monthly summary for aws/amazon-q-developer-cli. Focused on hardening prompt argument handling and improving prompt execution reliability. Delivered a targeted refactor and test coverage to prevent errors when prompts lack defined or provided arguments, and enabled MCP prompts with no arguments.

September 2025

1 Commits • 1 Features

Sep 1, 2025

September 2025 monthly summary for aws/amazon-q-developer-cli. Focused on enhancing the Prompt Management UX within the MCP-enabled CLI, delivering tangible business value through improved usability, faster debugging, and reduced support friction.

March 2025

1 Commits • 1 Features

Mar 1, 2025

March 2025: Implemented CLI Context Management with Profiles and Context Files for aws/amazon-q-developer-cli-autocomplete. Delivered lifecycle operations (create, delete, rename, switch) and per-profile/global context file management (add, remove, clear), plus integration of local files and configurations to improve AI response relevance. This foundation enables personalized workflows, multi-profile usage, and more consistent AI-assisted commands, with scalable design for future context types.

Activity

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Quality Metrics

Correctness93.4%
Maintainability93.4%
Architecture83.4%
Performance86.6%
AI Usage63.4%

Skills & Technologies

Programming Languages

JSONMarkdownRust

Technical Skills

AI IntegrationAPI IntegrationCLI DevelopmentCommand ParsingConfiguration ManagementError HandlingFile System OperationsJSONPrompt EngineeringRustTestingUnit TestingUser Experience (UX)

Repositories Contributed To

2 repos

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

aws/amazon-q-developer-cli

Sep 2025 Oct 2025
2 Months active

Languages Used

JSONRust

Technical Skills

API IntegrationCLI DevelopmentError HandlingPrompt EngineeringRustUser Experience (UX)

aws/amazon-q-developer-cli-autocomplete

Mar 2025 Mar 2025
1 Month active

Languages Used

MarkdownRust

Technical Skills

AI IntegrationCLI DevelopmentCommand ParsingConfiguration ManagementFile System OperationsRust

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