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Greg Hunt

PROFILE

Greg Hunt

Gregory Hunt developed a scalable feature API ecosystem for the Automattic/wp-feature-api repository, focusing on REST-backed registries, feature discovery, and robust AI-driven orchestration within WordPress. He architected a registry with REST endpoints, implemented feature and category querying APIs, and introduced a React-based chat UI for AI-assisted interactions. Using PHP, JavaScript, and JSON Schema, Gregory enforced strict schema validation and response pipelines, enabling reliable multi-step agent loops and tool execution. His work included code cleanup, documentation improvements, and enhanced development tooling, resulting in improved feature discoverability, onboarding, and reliability for developers integrating advanced AI and RESTful services into WordPress.

Overall Statistics

Feature vs Bugs

85%Features

Repository Contributions

42Total
Bugs
4
Commits
42
Features
22
Lines of code
25,511
Activity Months2

Work History

April 2025

7 Commits • 3 Features

Apr 1, 2025

April 2025 performance summary for Automattic/wp-feature-api: Delivered a robust AI-driven feature API demo with stronger schema validation, an agent-based loop for executing features, UI enhancements for visibility, and foundational documentation updates. This work improved reliability of AI tool usage, streamlined developer workflows, and established a scalable pattern for AI-assisted feature orchestration within WordPress.

March 2025

35 Commits • 19 Features

Mar 1, 2025

March 2025: Built a scalable Feature API ecosystem with REST-backed registry, feature discovery, and solid development foundation. Key outcomes include REST-enabled registry with a demo consumer; preregistered routes and pagination for GET /features; feature querying and category management APIs; reuse of REST endpoints as features; strong dev tooling (wp-env), PHP testing scaffolding, and documentation cleanup. Notable bug fixes: admin notice timing, encoding robustness for empty arrays, WP Feature API singularization, and query parameter cleanup. This work improves feature discoverability, reliability, onboarding, and time-to-value for new features.

Activity

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Quality Metrics

Correctness89.8%
Maintainability89.0%
Architecture88.6%
Performance81.0%
AI Usage28.2%

Skills & Technologies

Programming Languages

BashCSSJSONJavaScriptMarkdownPHPSCSSShellTypeScriptYAML

Technical Skills

AI IntegrationAPI DesignAPI DevelopmentAPI IntegrationBackend DevelopmentCI/CD SetupCode CleanupCode FormattingCode RenamingCode StandardsCodebase ManagementComposerConfigurationConfiguration ManagementData Validation

Repositories Contributed To

1 repo

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

Automattic/wp-feature-api

Mar 2025 Apr 2025
2 Months active

Languages Used

BashCSSJSONJavaScriptMarkdownPHPSCSSShell

Technical Skills

AI IntegrationAPI DesignAPI DevelopmentAPI IntegrationBackend DevelopmentCI/CD Setup

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