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Joel Hooks

PROFILE

Joel Hooks

Over a two-month period, this developer focused on backend and plugin extensibility, delivering two features across inngest/inngest-js and anomalyco/opencode. They implemented DeepSeek AI model support in inngest-js, introducing a new model creator function, updating environment variable management, and integrating model options to enhance AI-driven planning workflows. In anomalyco/opencode, they developed an experimental plugin hook for pre-compaction context injection, expanding plugin flexibility and improving LLM contextual understanding. Their work emphasized maintainable architecture and clear documentation, utilizing TypeScript, JavaScript, and Markdown to ensure robust integration and empower plugin authors with enhanced configuration and extensibility options.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

3Total
Bugs
0
Commits
3
Features
2
Lines of code
215
Activity Months2

Work History

December 2025

1 Commits • 1 Features

Dec 1, 2025

December 2025: Delivered a new plugin hook experimental.session.compacting that enables pre-compaction context injection, expanding plugin extensibility and improving LLM contextual understanding. Implemented within the anomalyco/opencode session pipeline and accompanied by developer documentation for plugin authors. Associated commit: 24430287c5a304ee35ad0089bad1907d7917dee2 (feat(plugin): add experimental.session.compacting hook for pre-compaction context injection).

January 2025

2 Commits • 1 Features

Jan 1, 2025

January 2025 — inngest-js: Delivered DeepSeek AI model support, including a new model creator function, updated environment variable definitions, and integration into available models to enable DeepSeek's reasoning as a planner network. The changes define the DeepSeek model options and wire them into the system's model options, establishing a consistent, extensible foundation for AI-driven planning. No major bugs fixed this month; focus was on feature delivery and architectural alignment. Impact: expands AI model capabilities, improves configurability and maintainability for AI planning workflows across downstream apps. Technologies/skills demonstrated: TypeScript/JavaScript, environment variable management, model provider/creator patterns, and model options integration.

Activity

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Quality Metrics

Correctness93.4%
Maintainability93.4%
Architecture93.4%
Performance86.6%
AI Usage46.6%

Skills & Technologies

Programming Languages

MarkdownTypeScript

Technical Skills

AI IntegrationAPI IntegrationBackend DevelopmentDocumentationPlugin Development

Repositories Contributed To

2 repos

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

inngest/inngest-js

Jan 2025 Jan 2025
1 Month active

Languages Used

TypeScript

Technical Skills

AI IntegrationAPI IntegrationBackend Development

anomalyco/opencode

Dec 2025 Dec 2025
1 Month active

Languages Used

MarkdownTypeScript

Technical Skills

Backend DevelopmentDocumentationPlugin Development