Developer Tests Codex and GitHub Copilot for PDF PoC Builds, Finds Mixed Results

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A developer evaluated two AI coding tools — OpenAI's Codex and GitHub Copilot — by building proof-of-concept React applications centered on PDF viewing and data extraction. Codex delivered a relatively smooth experience, modifying code directly in the project directory and handling edge cases like redacted or missing PDF data after several iterative exchanges. GitHub Copilot, powered by Claude Haiku 4.5, generated a project structure rapidly and with minimal credit usage, but ran into dependency conflicts around the Apryse WebViewer package. Both tools showed a tendency to stub or mock the very components the developer was trying to prototype, raising questions about their judgment in scoping PoC work. The developer noted that GitHub Copilot's free tier does not include a standalone desktop app, requiring use through VS Code instead.

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