Rezzy is an AI‑driven resume builder tailored for software engineers, using multi‑agent technology trained on feedback from over 100 recruiters and hiring managers to produce ATS‑compliant LaTeX documents. The platform offers interactive editing via a “Cursor for Resumes” agent that remembers user input, instant AI scoring with actionable recommendations, and a developer‑friendly API for automating resume creation and integration into custom workflows.
Funding
Funding not disclosed
Founders
Product
Problem
Software engineers often spend extensive time manually formatting resumes to satisfy applicant tracking systems (ATS) and tailoring content for each job posting, leading to inconsistent quality and missed opportunities. Existing tools lack domain‑specific guidance from recruiters and do not provide interactive, personalized editing or automated scoring.
Solution
Rezzy offers an AI‑driven resume builder designed specifically for software engineers. Multi‑agent AI models, trained on feedback from over 100 recruiters and hiring managers, generate ATS‑compatible LaTeX documents that optimize section ordering, phrasing, and keyword density. An interactive “cursor” agent edits the resume in real time, remembers user inputs, and asks clarifying questions to refine the content without requiring re‑uploads. Instant AI‑powered scoring evaluates ATS compatibility, formatting, and relevance to the target job, delivering actionable recommendations. An open API lets developers embed resume creation, cover‑letter generation, and scoring into scripts, automation pipelines, or custom AI workflows.
Target Audience
Primary users are software engineers seeking optimized resumes and cover letters, as well as developers or hiring platforms that want to automate resume creation and evaluation via Rezzy’s API.
Features
- Multi‑agent tailoring that adjusts sections, role descriptions, and wording based on recruiter‑validated best practices
- ATS‑compliant LaTeX output ensuring clean parsing by hiring systems
- Interactive cursor agent that edits, personalizes, and retains contextual information across sessions
- Real‑time AI scoring with detailed feedback on keywords, structure, and formatting aligned to specific job descriptions
- Separate cover‑letter generation using the same recruiter‑trained models
- Developer‑ready API with example TypeScript, Python, and Bash snippets for seamless integration