Jordan Hunt
Jordan is a software engineer at Convex. Before Convex, he studied at Harvey Mudd College. While in school, he worked on backend infrastructure at various companies including Netflix and Asana. He obsesses over making complex things simple and brings a passion for programming languages.
When he’s not coding, he spends most of his time traveling, snowboarding, playing basketball, reading, and hanging out with his friends. He also likes to dabble a bit in poker.
All posts by Jordan
Chef Cookbook: Tips For Working with AI App Builders
Learn how to write better apps using AI app builders like Chef by Convex with these five expert tips from Jordan Hunt, prompt engineer at Convex. This guide covers how to build simple MVPs, keep prompts under 300 words, provide clear UI and design instructions, use AI tools like ChatGPT to refine your prompts, and recover quickly when things go off track. Includes real app examples like a habit tracker, to-do list, and finance tracker—all built with Chef. Perfect for developers building full-stack apps with AI.
Jordan Hunt
4 hours ago
Which LLM writes the best code? Convex Chef model comparison
Convex compared Claude 3.5 Sonnet, GPT-4.1, and Gemini 2.5 Pro to see which LLM works best for building full-stack apps with Convex Chef, the new AI Agent app developer tool. Claude stood out for its precise backend coding and function calling, while Gemini made impressive UIs, and GPT offered solid speed and value.
Jordan Hunt
7 days ago
Convex Evals: Behind the scenes of AI coding with Convex
AI coding is here: The most productive developers are leveraging AI to speed up their workflows. This ranges from asking models questions about system design to letting AI take the driver's seat with tools like Cursor Composer.
Jordan Hunt
2 months ago
Convex in Multiple Repositories
Turns out, you can organize your Convex project across multiple repositories! Check out this guide on how to implement this in your project.
Jordan Hunt
8 months ago