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Daniel Martín

PROFILE

Daniel Martín

Developed an AI-powered document authoring feature for the PSPDFKit/awesome-nutrient repository, focusing on enabling Cursor-based document workflows within a Next.js application. Leveraging the Document Authoring SDK 1.11.0, the work exposed a public API that demonstrated twelve large language model tools for document manipulation, including editing, searching, and formatting elements. The implementation utilized JavaScript and TypeScript alongside React to create a comprehensive example under document-authoring/ai-editing, showcasing integration of AI capabilities into front end development. This contribution provided a practical demonstration of AI-assisted document editing, emphasizing extensibility and real-world application of modern web technologies in document authoring scenarios.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

1Total
Bugs
0
Commits
1
Features
1
Lines of code
17,850
Activity Months1

Work History

March 2026

1 Commits • 1 Features

Mar 1, 2026

March 2026 (2026-03) – PSPDFKit/awesome-nutrient delivered a focused feature to demonstrate AI-powered document authoring with Cursor-based documents. The highlight is a full Next.js AI Document Authoring Example under document-authoring/ai-editing, built on the Document Authoring SDK 1.11.0 and exposing a public API with 12 LLM tools. Commit 849423f5cf9b4634e5e50bcbd47d304fce37a5b6 introduces the feature and aligns with the project’s AI-assisted workflows.

Activity

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Quality Metrics

Correctness100.0%
Maintainability80.0%
Architecture100.0%
Performance80.0%
AI Usage80.0%

Skills & Technologies

Programming Languages

JavaScriptTypeScript

Technical Skills

AI integrationNext.jsReactfront end development

Repositories Contributed To

1 repo

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

PSPDFKit/awesome-nutrient

Mar 2026 Mar 2026
1 Month active

Languages Used

JavaScriptTypeScript

Technical Skills

AI integrationNext.jsReactfront end development