Aakash GuptaThe Claude Code Setup for Non-Technical PMs That Nobody Shows You
At a glance
WHAT IT’S REALLY ABOUT
Four-level workflow helps non-technical PMs ship real code safely
- Non-technical PMs risk becoming backlog bureaucrats unless they learn to directly build and ship with AI-assisted coding workflows.
- A four-level progression—Lovable, Lovable+Claude Code via GitHub, Cursor+Vercel, and agent/skills automation—reduces fear while steadily increasing production capability.
- A practical bridge is to use Lovable as an easy visual QA and hosting layer while making code changes in Claude Code and syncing them through a shared GitHub repo.
- Moving to Vercel introduces standard preview deployments per branch, enabling safer iteration, parallel work, and clearer separation between preview and production.
- “Slop” and reliability risks are mitigated by investing in infrastructure checks and by enforcing better problem framing via reusable skills (JTBD, OST, MoSCoW) and agent orchestration (CLAUDE.md + specialized agents).
IDEAS WORTH REMEMBERING
5 ideasStart building in a zero-risk sandbox before touching company code.
Andre recommends beginning with a personal Lovable project so you can experiment, make mistakes, and learn core concepts (auth, data, UI flows) without organizational risk or permissions.
Use Lovable as a “visual QA + hosting” bridge while coding in Claude Code.
By connecting Lovable to a GitHub repo that Claude Code can also access, you can push changes from Claude Code, then quickly verify UX changes in Lovable before publishing to a public link.
GitHub is the system-of-record that connects your coder (Claude) to your runtime (Lovable/Vercel).
The workflow is: make changes in Claude Code → commit/merge to GitHub → Lovable/Vercel pulls and updates previews; this demystifies “merge/PR/branch” by making it observable through UI updates.
Graduate to Vercel when you need parallel work, safer iteration, and production realism.
Vercel creates preview deployments for each branch, letting you test multiple features in isolation and only merge to main when satisfied—closer to how real engineering teams ship.
Cursor can lower intimidation by making sessions/branches visually navigable.
Andre prefers Cursor’s UI (vertical tab/session management, GitHub sync) while still using Claude Code underneath, helping non-technical builders feel oriented without manually editing code.
WORDS WORTH SAVING
5 quotesIf you look at a lot of companies that have non-technical PMs in teams, they're bureaucrats. They're stuck in Jira, they're stuck in Linear, they're stuck in PowerPoints. They're not actually building. They're not pushing code. They're not adding features. They're dependent on their technical teams to do that.
— Andre Albuquerque
If you're a non-technical PM and your job is still managing backlogs, your job is still writing issues, your job is still creating decks or PowerPoints to present to someone and you're not really building stuff, honestly, you're being left behind.
— Andre Albuquerque
Let's be honest, it's, it's, it's a bit scary. You land here, and it's a bit scary. Like, you don't know what this is.
— Andre Albuquerque
This is what AI-native teams are doing, is they're working fifty percent of the time on improving the infrastructure of the machine itself rather than just tweaking feature by feature, right?
— Andre Albuquerque
One of the things that decelerates people, teams, companies the most is collaboration. And this sounds contrarian, which is like the fact that you have people having to collaborate, it's what slows everything down.
— Andre Albuquerque
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