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A 3-step AI coding workflow for solo founders | Ryan Carson (5x founder)

How I AI

2025/05/26
How I AI

How I AI

2025/05/26

Shownote

Ryan Carson is a five-time founder who has spent the past 20 years building, scaling, and selling startups. In this episode, he shares his playbook for using AI to build products, turning “vibe coding” into a structured and scalable approach that can repla...

Highlights

In this episode, Ryan Carson, a seasoned entrepreneur with over two decades of experience in building and scaling startups, explores the transformative potential of AI in product development. He delves into practical strategies for integrating AI into workflows, focusing on structured approaches that can replace traditional engineering teams.
03:26
Cursor brings structure to AI coding with context-aware features.
05:07
AI instructed as 'junior developer' to create PRD
09:27
Taskmaster is a more powerful version of the tools shown earlier.
09:53
Taking two steps slowly can speed up the process
11:01
AI generates tasks by asking questions and outputting markdown
15:32
Give LLMs the right context and treat them politely like humans.
18:08
The AI processes a task list by defining a Prisma schema for an email campaign.
18:57
Thinking about potential reverts when committing
20:00
AI coding process helps build large features reliably
21:50
MCPs enable front-end testing automation by instructing Cursor to perform tasks like navigating and taking screenshots.
24:58
Cursor can interact with other apps using AI for task management.
26:46
Repo Prompt allows more control over context compared to Cursor.
31:23
Listening to EDM while coding late at night is crucial
32:10
AI is revolutionizing the startup process

Chapters

Introduction and Ryan’s recent AI projects
00:00
Demo: Creating a PRD with Cursor
03:25
Ryan’s open source links: https://github.com/snarktank/ai-dev-tasks
05:00
Repo Prompt: https://repoprompt.com/
09:23
Quick recap and common mistakes to avoid
09:53
Demo: Generating a task list from the PRD
11:00
The importance of context when working with LLMs
15:31
Demo: Working through tasks systematically using Cursor
18:07
Change management
18:56
How task lists save time for product managers
20:00
Demo: Using MCPs for front-end testing
21:50
Specific MCPs and what to use them for
24:50
Demo: Using Repo Prompt to gain precise control over context
26:45
Music’s role in Ryan’s development stack
31:23
Lightning round and final thoughts
32:10

Transcript

Ryan Carson: I think the biggest mistake that I do that everyone does, is they try to rush through the context. Where you just don't have the patience to tell the AI what it actually needs to know to solve your problem. And I think if we all just slow down...