PDF Generation Approaches, Prototyped by Agent

Selecting the right PDF generation approaches for a modern application involves balancing layout complexity, performance, and maintenance overhead. Whether you are generating invoices, medical reports, or technical documentation, the choice of technology dictates how easily your team can iterate on designs. Integrating AI agents into this research phase allows developers to rapidly prototype different architectures before committing to a specific stack.

Contextualizing the PDF Problem

PDF generation is notoriously difficult because the format was designed for print consistency rather than dynamic web content. High fidelity layouts often require a rendering engine that understands CSS, while high performance bulk exports might benefit from lower level, programmatic drawing libraries. When you use an agent to explore these options, you can see how different libraries handle edge cases like page breaks, header repetition, and font embedding in real time.

Headless Browsers vs Programmatic Libraries

The two primary schools of thought in PDF generation involve either converting HTML to PDF or building the document node by node. Both have distinct advantages depending on the project requirements.

HTML to PDF with Headless Engines

This approach uses tools like Puppeteer or Playwright to run a browser instance (usually Chromium) in the background. You feed it a finished HTML page, and it prints the result to a PDF file.

• High Fidelity: If it looks good in Chrome, it looks good in the PDF.
• CSS Power: You can use Grid and Flexbox for complex layouts.
• Overhead: Starting a browser process consumes significant memory and CPU.

Programmatic PDF Construction

Libraries like PDFKit or jsPDF do not use HTML. Instead, you write instructions to draw shapes, text, and images at specific X and Y coordinates.

• Performance: Extremely fast and lightweight.
• Fine Control: Total control over the file structure and metadata.
• Difficulty: Complex layouts are hard to maintain because you cannot use standard web styling tools.

Prototyping with AI Agents in Deska

Rapidly testing these PDF generation approaches is more efficient when you can run multiple implementations side by side. Using Deska, a free desktop app for Mac, Windows, and Linux, you can organize your research within an infinite canvas. Instead of switching between a terminal and an editor, you can see your documentation, your code, and your AI agent in one view.

Deska allows you to run AI coding agents like Claude Code, Codex CLI, and OpenCode as panels. You can ask an agent to generate a script using Puppeteer in one panel and a script using PDFKit in another. Because Deska is a local-first environment, your code and the generated PDF files stay on your machine. You can use the built-in browser widgets to preview the output immediately.

Integrating Agents into the Workflow

The benefit of using coding agents for PDF tasks is the ability to handle boilerplate. Setting up a browser environment or defining X/Y coordinates for a table is tedious. An agent can take a JSON schema and write the mapping logic for both approaches, allowing you to compare the resulting file sizes and rendering quality.

By utilizing Ask Deska, the voice and chat assistant, you can manage this workspace without manual configuration. You might tell the assistant to open a new terminal and install dependencies while you review the code in the Monaco-based editor. If you need to step away from your desk, the mobile app allows you to monitor the progress of long-running generation tests through a secure relay.

Handling Page Breaks and Headers

One of the most frequent challenges in PDF generation is ensuring that headers repeat on every page and that content does not split awkwardly across pages. When prototyping these solutions:

1. Use CSS print media queries for headless browser approaches.
2. Implement manual height calculations for programmatic libraries.
3. Test with varying data lengths to trigger edge cases.

Inside Deska panels, you can keep a note panel open to document which approach handles specific edge cases better. This keeps your research organized within the workspaces feature, rather than scattered across browser tabs.

FAQ

Which PDF generation approach is best for invoices?

For invoices where layout and branding are critical, the headless browser approach is usually best. It allows designers to use HTML and CSS, which results in a more polished look. While it consumes more resources, the volume of invoices in most applications does not justify the difficulty of building layouts manually.

How do I handle large PDF reports?

For reports reaching hundreds of pages, programmatic libraries like PDFKit are superior. They generate content as a stream, which prevents the memory spikes commonly seen when a headless browser tries to render a giant DOM tree.

Can AI agents help with PDF styling?

Yes, AI agents are particularly good at writing CSS for print. You can provide an agent with a sample HTML structure and ask it to write a stylesheet that handles page margins, page numbering, and column breaks specifically for PDF output.

Start Prototyping Today

The choice of PDF generation technology impacts your application's performance and your team's development speed. By using an agent-driven workflow within a flexible workspace, you can make an informed decision based on actual code rather than theoretical comparisons.

Download Deska to start building your PDF prototypes with side by side agents and a local-first environment.