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I spent $20,000 on Devin in a month. Here’s what I learned | Ryan Carson (solo founder)

How I AI

1 DAYS AGO
How I AI

How I AI

1 DAYS AGO

Shownote

Ryan Carson is a five-time founder and the current solo founder of Untangle, a B2B SaaS platform for family law firms. Before Untangle, he co-founded Treehouse, an online coding education platform, and has spent the better part of two decades building and leading tech companies. He’s active on X, where he shares his solo founder journey in real time, including what he actually spends on AI tools each month. What you’ll learn: 1. Why Ryan manages 15 concurrent Devin agents with a folder system and a piece of paper, not a dashboard 2. The Watchdog playbook: what he built to replace a customer success team across every law firm account 3. How his LAN PR skill closes the loop on 40 daily PRs without a QA team reviewing a single one 4. Why he moved off local agents almost entirely, and the one situation where he still reaches for Codex 5. The design workflow we’re both using: Claude Design into a Markdown spec, then Codex to build the real thing 6. What he found when he got away from his computer and met a real customer, and why it changed his entire product direction 7. How he’s hiring his first engineer without a single phone screen or interview 8. Why we both think more AI output is actually the wrong goal, and what to optimize for instead — Brought to you by: WorkOS [https://workos.com/?utm_source=lennys_howiai&utm_medium=podcast&utm_campaign=q22025]—Make your app enterprise-ready, with SSO, SCIM, RBAC, and more Jira AI SDLC [https://jira.dev]—Get your tokens’ worth with Jira — In this episode, we cover: (00:00) Introduction to Ryan Carson (02:55) Ryan’s update: Untangle, the divorce PMF pivot, and B2B growth (07:35) Ryan’s current Devin stack: folders, P0 threads, and the paper list (16:29) Watchdog playbook: account monitoring across every firm (18:09) Managing agent decision fatigue: Ryan’s method vs. Claire’s (20:32) Producing more output does not make a better product (22:47) Using cloud agents for ops beyond just code (25:14) When to use Codex vs. Devin vs. Claude Code (27:15) Merge Mommy recap (28:15) LAN PR skill: review loops, video walkthrough, and auto-merge (30:20) Slack vs. Devin threads for async team communication (35:58) Claude Design plus Codex for building a technical design system (39:00) EA tools: Polly the OpenClaw vs. Claude Code on a Mac Mini (42:09) Quick recap and final thoughts — Tools referenced: • Devin (Cognition): https://www.cognition.ai/ [https://www.cognition.ai/] • Codex (OpenAI): https://openai.com/codex [https://openai.com/codex] • Claude Code/Claude Design (Anthropic): https://www.anthropic.com/claude [https://www.anthropic.com/claude] • OpenClaw (Claude-based desktop client): https://openclaw.ai [https://openclaw.ai/] • Cursor: https://www.cursor.com/ [https://www.cursor.com/] • BugBot (Devin’s built-in PR review): https://cursor.com/bugbot [https://cursor.com/bugbot] • Sentry (error monitoring referenced in Watchdog): https://sentry.io/ [https://sentry.io/] • Ugmonk (analog to-do system): https://ugmonk.com/ [https://ugmonk.com/] — Other references: • Devin playbooks/skills documentation: https://docs.cognition.ai/ [https://docs.cognition.ai/] • Jack Dorsey/Buzz (async-first communication referenced): https://buzz.new/ [https://buzz.new/] • Merge Mommy (Claire’s Eve agent for PR risk scoring, deployed on Vercel): https://www.lennysnewsletter.com/p/build-an-ai-code-review-bot-in-30 [https://www.lennysnewsletter.com/p/build-an-ai-code-review-bot-in-30] — Where to find Ryan Carson: X: https://x.com/ryancarson [https://x.com/ryancarson] Untangle: https://untangle.us [https://untangle.us/] — Where to find Claire Vo: ChatPRD: https://www.chatprd.ai/ [https://www.chatprd.ai/] Website: https://clairevo.com/ [https://clairevo.com/] LinkedIn: https://www.linkedin.com/in/clairevo/ [https://www.linkedin.com/in/clairevo/] X: https://x.com/clairevo [https://x.com/clairevo] — Production and marketing by https://penname.co/ [https://penname.co/]. For inquiries about sponsoring the podcast, email jordan@penname.co.

Highlights

This episode explores how a solo founder uses AI agents to scale product development and operations while maintaining focus on priorities, quality, and customer needs.
00:00
Founders must learn to manage agents
05:27
Rapid growth makes human hires unavoidable
15:21
Managing AI agents requires human management skills
16:31
Watchdog turns operational chaos into priorities
18:09
Product judgment matters more than shipping more code
20:34
Useful products matter more than maximum output
22:47
Cloud agents handle more than coding
25:18
AI agents automate the software development workflow
27:15
Automation handles low-risk changes while humans review the rest
28:15
Automated review loops make merging safer and faster.
33:06
Visible AI coding makes collaboration stronger
36:03
Claude designs systems; Codex builds them
41:35
Assess rapport, then verify ability through real work
42:09
Real work reveals more than traditional interviews

Chapters

Introduction to Ryan Carson
00:00
Ryan’s update: Untangle, the divorce PMF pivot, and B2B growth
02:55
Ryan’s current Devin stack: folders, P0 threads, and the paper list
07:35
Watchdog playbook: account monitoring across every firm
16:29
Managing agent decision fatigue: Ryan’s method vs. Claire’s
18:09
Producing more output does not make a better product
20:32
Using cloud agents for ops beyond just code
22:47
When to use Codex vs. Devin vs. Claude Code
25:14
Merge Mommy recap
27:15
LAN PR skill: review loops, video walkthrough, and auto-merge
28:15
Slack vs. Devin threads for async team communication
30:20
Claude Design plus Codex for building a technical design system
35:58
EA tools: Polly the OpenClaw vs. Claude Code on a Mac Mini
39:00
Quick recap and final thoughts
42:09

Transcript

Ryan Carson: If you're out there listening, and you are doing engineering, you're doing your work locally, you really need to open your eyes. I think the future is pretty much 100% cloud agents. I went all in, so much so I spent $5,000 on Devin, and then I...