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How I AIHow I AI

DIY dev tools: How this engineer created “Flowy” to visualize his plans and accelerate coding

CJ Hess is a software engineer at Tenex who has built some of the most useful tools and workflows for being a “real AI engineer.”

CJ HessguestClaire Vohost
Feb 9, 202653mWatch on YouTube ↗

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Episode Details

EPISODE INFO

Released
February 9, 2026
Duration
53m
Channel
How I AI
Watch on YouTube
▶ Open ↗

EPISODE DESCRIPTION

CJ Hess is a software engineer at Tenex who has built some of the most useful tools and workflows for being a “real AI engineer.” In this episode, CJ demonstrates his custom-built tool, Flowy, that transforms Claude’s ASCII diagrams into interactive visual mockups and flowcharts. He also shares his process for using model-to-model comparison to ensure that his AI-generated code is high-quality, and why he believes we’re just at the beginning of a revolution in how developers interact with AI. *What you’ll learn:*

  1. How CJ built Flowy, a custom visual planning tool that converts JSON files into interactive mockups and flowcharts
  2. Why visual planning tools are more effective than ASCII diagrams for complex UI and animation workflows
  3. How to create and use Claude Code skills to extend your development environment
  4. Using model-to-model comparison (Claude + Codex) to improve code quality
  5. How to build your own ecosystem of tools around Claude Code
  6. The value of bypassing permissions in controlled environments to speed up development

*Brought to you by:* Orkes—The enterprise platform for reliable applications and agentic workflows: https://www.orkes.io/ Rovo—AI that knows your business: https://rovo.com/ *Detailed workflow walkthroughs from this episode:*

*In this episode, we cover:* (00:00) Introduction to CJ Hess (02:48) Why CJ prefers Claude Code for development (04:46) The evolution of developer environments with AI (06:50) Planning workflows and the limitations of ASCII diagrams (08:23) Introduction to Flowy, CJ’s custom visualization tool (11:54) How Flowy compares to mermaid diagrams (15:25) Demo: Using Flowy (19:30) Examining Flowy’s skill structure (23:27) Reviewing the generated flowcharts and diagrams (28:34) The cognitive benefits of visual planning vs. text-based planning (31:38) Generating UI mockups with Flowy (33:30) Building the feature directly from flowcharts and mockups (35:40) Quick recap (36:51) Using model-to-model review with Codex (Carl) (41:52) The benefits of using AI for code review (45:13) Lightning round and final thoughts *Tools referenced:*

*Other references:*

*Where to find CJ Hess:* LinkedIn: https://www.linkedin.com/in/cj-hess-connexwork/ X: https://x.com/seejayhess *Where to find Claire Vo:* ChatPRD: https://www.chatprd.ai/ Website: https://clairevo.com/ LinkedIn: https://www.linkedin.com/in/clairevo/ X: https://x.com/clairevo _Production and marketing by https://penname.co/._ _For inquiries about sponsoring the podcast, email jordan@penname.co._

SPEAKERS

  • CJ Hess

    guest
  • Claire Vo

    host

EPISODE SUMMARY

In this episode of How I AI, featuring CJ Hess and Claire Vo, DIY dev tools: How this engineer created “Flowy” to visualize his plans and accelerate coding explores Engineer builds Flowy to turn AI plans into visual artifacts CJ Hess shares an AI-native development workflow that upgrades traditional markdown planning by adding visual flowcharts and UI mockups generated from a JSON schema in his custom tool, Flowy.

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