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I Failed to Ship My SaaS. Here’s the Claude Setup I’m Adopting to Not Repeat That Mistake

I planned to ship my first SaaS on Jan 1, 2026.

LSC · 2026-01-08 18:55 · 10 claps · 1.9 min read
#buildinpulic #saas #indiehackers #startup #lucky11
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Wiki topics: LLM · Large Language Models STP · Startups & Venture

I Failed to Ship My SaaS. Here’s the Claude Setup I’m Adopting to Not Repeat That Mistake

I planned to ship my first SaaS on Jan 1, 2026.

I didn’t. 😗

hmm, vercel dashboard SS

hmm, vercel dashboard SS

Not because the idea was bad — but because my build + deploy workflow broke me.

Vercel deploy failures. Context switching. AI helping… but not reliably.

While figuring out what I did wrong, I came across something valuable.

Boris Cherny (creator of Claude Code) shared his personal Claude setup. Not hype — real workflows used by someone shipping at scale.

I’m not at his level. But I am exactly at the stage where a better system matters.

Here’s what I’m adopting — and why.

1. Parallel sessions (this exposed my biggest weakness)

Boris runs 5 Claude sessions in parallel.

I was doing everything in one chat:

  • planning
  • debugging
  • refactoring
  • deployment

Result? Lost context. Bad decisions. Mental fatigue.

My change: Separate sessions for:

  • planning
  • coding
  • debugging
  • deployment

One job per session. No chaos.

2. Plan Mode before touching code (I skipped this)

Boris always starts in Plan Mode, locks the plan, then executes.

I didn’t.

I jumped straight into coding because:

“I’ll figure it out as I go.”

That’s how I ended up stuck during deployment.

New rule: No code until the plan is written and reviewed.

3. One shared memory for AI mistakes (this hurt me)

Boris’s team maintains a CLAUDE.md file:

  • Every mistake Claude makes → logged
  • Every assumption clarified → saved

I repeated the same AI mistakes multiple times because I never wrote them down.

My change: A simple doc:

  • “Claude misunderstood X”
  • “Never do Y during deploy”
  • “Always ask Z before refactor”

This alone would’ve saved me days.

4. Verification is non-negotiable

The most underrated thing Boris does:

Claude verifies its own work using real UI testing.

I trusted outputs without verification.

That trust cost me my launch.

New rule: Every AI change must be:

  • tested
  • verified
  • explained back to me

No blind acceptance.

5. Why this matters for beginners like me

I don’t have:

  • users
  • revenue
  • credibility (yet)

What I do have:

  • limited time
  • limited energy
  • zero margin for chaos

Systems matter more at this stage, not less.

What I’m doing next (accountability)

This week:

  • restructure my Claude workflow
  • document mistakes in one place
  • redeploy my MVP (again)

If it fails again, I’ll write exactly why.

This year, I’m not writing advice. I’m documenting reality.

If you’re also building your first product and struggling with AI workflows, follow along. I’ll share what breaks — not just what works.

BTW last yr from jan 2025 — dec 2026 i got views -1248 read — 404 and gained 10 follower


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