TEXFOLIO OPEN-SOURCES A PRODUCTION-READY LATEX-TO-PDF PIPELINE WITH HONO, BULLMQ, AND LANGGRAPH
TexFolio open-sources a clean pattern for safe, scalable LaTeX PDF generation and AI scoring on a modern TypeScript backend. The project ships a Hono v4 API, B...
TexFolio open-sources a clean pattern for safe, scalable LaTeX PDF generation and AI scoring on a modern TypeScript backend.
The project ships a Hono v4 API, BullMQ workers, and a dedicated pdflatex container, plus RBAC, audit trails, and GDPR endpoints. See the deep dive and links to the demo and source in the write-up: Building TexFolio.
Instead of HTML-to-PDF, it compiles real LaTeX and offloads heavy jobs to Redis-backed queues. A LangGraph multi-agent pipeline scores resumes asynchronously, keeping the API responsive while workers handle compute-heavy tasks.
LaTeX rendering in isolated workers removes many HTML-to-PDF edge cases and improves ATS parsing.
The architecture is a reusable template for safe CPU-heavy jobs without blocking your API.
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terminal
Load-test BullMQ worker pools for pdflatex jobs; tune concurrency, memory limits, and timeouts under bursty traffic.
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terminal
Fuzz LaTeX inputs to validate sandboxing (container caps, seccomp/AppArmor) and ensure zero data exfiltration between tenants.
Legacy codebase integration strategies...
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Canary a LaTeX worker path alongside your HTML-to-PDF flow; compare render stability, ATS parsing, and support tickets.
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Plug workers into your existing Redis/Mongo stack; enforce per-tenant quotas, RBAC, and audit logs before routing prod traffic.
Fresh architecture paradigms...
- 01.
Adopt the Hono middleware pipeline (request IDs, CORS, rate limits) and keep CPU-heavy tasks behind a queue from day one.
- 02.
Model AI steps as async LangGraph workflows so the API stays fast while workers handle long-running scoring or generation.
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