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This pull request introduces a new "Military Resume Translator" feature to the application, allowing users to convert military job experience into civilian-friendly resume language. The main changes include adding a new React component for the translator, updating the navigation menu to include the new tool, and adding a required dependency for natural language processing.

Feature Addition: Military Resume Translator

  • Added a new ResumeTranslator React component in src/components/translator/ResumeTranslator.tsx that provides a form for users to input their military experience, translates it to civilian resume language, offers suggestions for improvement, and allows users to download the result.

Navigation Update

  • Added a "Military Resume Translator" entry to the main navigation menu in src/data/menu.ts so users can easily access the new tool from the site navigation.

Dependency Management

  • Added the @xenova/transformers package to package.json to support natural language processing for the translation feature.

│                                                                                                                                                │
│   Implement comprehensive military-to-civilian resume translation tool to help veterans translate their military experience into               │
│   civilian-friendly language. Features include:                                                                                                │
│                                                                                                                                                │
│   - AI-powered translation using @xenova/transformers                                                                                          │
│   - Military terminology and job title mappings                                                                                                │
│   - Professional summary generation                                                                                                            │
│   - Smart suggestions for resume improvement                                                                                                   │
│   - Download translated resume functionality                                                                                                   │
│   - Auth-protected page with user-friendly UI                                                                                                  │
│   - Added to navigation menu under About section
@jeromehardaway jeromehardaway self-assigned this Nov 16, 2025
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vercel bot commented Nov 16, 2025

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vets-who-code-app Ready Ready Preview Comment Nov 16, 2025 9:56pm

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Pull Request Overview

This PR introduces a new AI-powered Military Resume Translator feature that helps veterans convert military job experience into civilian-friendly resume language. The feature includes form-based input, AI-powered translation using natural language processing, and the ability to download results.

Key changes:

  • Added a new translator component and supporting library for military-to-civilian terminology translation
  • Integrated the translator into the site navigation and created a dedicated page with authentication
  • Added the @xenova/transformers package for NLP capabilities

Reviewed Changes

Copilot reviewed 5 out of 8 changed files in this pull request and generated 3 comments.

Show a summary per file
File Description
src/pages/resume-translator.tsx New page component with authentication, form UI, and results display for the Military Resume Translator
src/lib/military-translator.ts Core translation library with terminology mappings, AI model integration, and translation functions
src/data/menu.ts Added "Military Resume Translator" navigation menu entry
src/components/translator/ResumeTranslator.tsx React component for the translator form, results display, and download functionality
package.json Added @xenova/transformers dependency for NLP support

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🔍 Code Quality Score Breakdown:

  • 📖 Readability: 2/10
  • 📈 Scalability: 5/10
  • 🚀 Performance: 5/10
  • 🛠️ Maintainability: 8/10
  • ✅ Overall Score: 5.0/10

💡 Recommendations:

  • 🧹 Reduce ESLint warnings to improve readability.
  • 📦 Break up complex functions or components.
  • ⚙️ Consider splitting large files or lazy-loading.
  • 🔁 Refactor to increase your overall score next cycle.

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Copilot AI commented Nov 16, 2025

@jeromehardaway I've opened a new pull request, #818, to work on those changes. Once the pull request is ready, I'll request review from you.

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🔍 Code Quality Score Breakdown:

  • 📖 Readability: 2/10
  • 📈 Scalability: 5/10
  • 🚀 Performance: 5/10
  • 🛠️ Maintainability: 8/10
  • ✅ Overall Score: 5.0/10

💡 Recommendations:

  • 🧹 Reduce ESLint warnings to improve readability.
  • 📦 Break up complex functions or components.
  • ⚙️ Consider splitting large files or lazy-loading.
  • 🔁 Refactor to increase your overall score next cycle.

1 similar comment
@github-actions
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🔍 Code Quality Score Breakdown:

  • 📖 Readability: 2/10
  • 📈 Scalability: 5/10
  • 🚀 Performance: 5/10
  • 🛠️ Maintainability: 8/10
  • ✅ Overall Score: 5.0/10

💡 Recommendations:

  • 🧹 Reduce ESLint warnings to improve readability.
  • 📦 Break up complex functions or components.
  • ⚙️ Consider splitting large files or lazy-loading.
  • 🔁 Refactor to increase your overall score next cycle.

Resolve "Serverless Function exceeded 250 MB" error by:
- Using Next.js dynamic import with ssr:false for ResumeTranslator component
- Implementing lazy loading for @xenova/transformers library
- Ensuring transformer module only loads client-side in browser
- Added browser-only check to prevent server-side imports

Server bundle size reduced from 250MB+ to 16KB

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <[email protected]>
@github-actions
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🔍 Code Quality Score Breakdown:

  • 📖 Readability: 2/10
  • 📈 Scalability: 5/10
  • 🚀 Performance: 5/10
  • 🛠️ Maintainability: 8/10
  • ✅ Overall Score: 5.0/10

💡 Recommendations:

  • 🧹 Reduce ESLint warnings to improve readability.
  • 📦 Break up complex functions or components.
  • ⚙️ Consider splitting large files or lazy-loading.
  • 🔁 Refactor to increase your overall score next cycle.

…bundles

Following Vercel's best practices for Next.js projects:
- Added serverComponentsExternalPackages to mark AI/ML packages as external
- Configured outputFileTracingExcludes to prevent bundling transformer models
- Updated webpack config to explicitly externalize heavy packages on server
- Ensures @xenova/transformers only loads client-side in browser

Server bundle remains at 16KB (well under 250MB limit)
Client bundle optimized to 3.3KB initial load

References:
- https://nextjs.org/docs/app/api-reference/next-config-js/output
- https://vercel.com/guides/troubleshoot-serverless-function-size-limit

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <[email protected]>
@github-actions
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🔍 Code Quality Score Breakdown:

  • 📖 Readability: 2/10
  • 📈 Scalability: 5/10
  • 🚀 Performance: 5/10
  • 🛠️ Maintainability: 8/10
  • ✅ Overall Score: 5.0/10

💡 Recommendations:

  • 🧹 Reduce ESLint warnings to improve readability.
  • 📦 Break up complex functions or components.
  • ⚙️ Consider splitting large files or lazy-loading.
  • 🔁 Refactor to increase your overall score next cycle.

@github-actions
Copy link

🔍 Code Quality Score Breakdown:

  • 📖 Readability: 2/10
  • 📈 Scalability: 5/10
  • 🚀 Performance: 5/10
  • 🛠️ Maintainability: 8/10
  • ✅ Overall Score: 5.0/10

💡 Recommendations:

  • 🧹 Reduce ESLint warnings to improve readability.
  • 📦 Break up complex functions or components.
  • ⚙️ Consider splitting large files or lazy-loading.
  • 🔁 Refactor to increase your overall score next cycle.

@github-actions
Copy link

🔍 Code Quality Score Breakdown:

  • 📖 Readability: 2/10
  • 📈 Scalability: 5/10
  • 🚀 Performance: 5/10
  • 🛠️ Maintainability: 8/10
  • ✅ Overall Score: 5.0/10

💡 Recommendations:

  • 🧹 Reduce ESLint warnings to improve readability.
  • 📦 Break up complex functions or components.
  • ⚙️ Consider splitting large files or lazy-loading.
  • 🔁 Refactor to increase your overall score next cycle.

@github-actions
Copy link

🔍 Code Quality Score Breakdown:

  • 📖 Readability: 2/10
  • 📈 Scalability: 5/10
  • 🚀 Performance: 5/10
  • 🛠️ Maintainability: 8/10
  • ✅ Overall Score: 5.0/10

💡 Recommendations:

  • 🧹 Reduce ESLint warnings to improve readability.
  • 📦 Break up complex functions or components.
  • ⚙️ Consider splitting large files or lazy-loading.
  • 🔁 Refactor to increase your overall score next cycle.

@jeromehardaway jeromehardaway merged commit 6724195 into master Nov 16, 2025
5 checks passed
@jeromehardaway jeromehardaway deleted the military-resume-translator branch November 16, 2025 21:57
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2 participants