I’m not a developer. Not even close. I run a small LinkedIn personal branding agency in Paris. Eight months ago, I decided to encode our entire methodology into a SaaS platform. Today it has 830+ files, 215k+ lines of code, 175+ routes, 153 edge functions, and 120 database tables. Zero lines written by me. Here’s how - and more importantly, here’s the thing nobody talks about when you’re vibe-coding at this scale.
The Stack (three AIs, three roles)
I didn’t use one AI. I used three, and gave each a distinct job:
| Agent | Role | What it does |
|---|---|---|
| Lovable | The hands | Writes and deploys code from natural language prompts |
| Claude Cowork (Anthropic) | The arms | Diagnoses bugs in the codebase, writes Lovable prompts, verifies results via browser |
| Littlebird | The brain | Screenshots everything I do, indexes it, retains full project memory since day 1 |
| Think of it like this: Lovable codes, Claude Cowork pilots Lovable, and Littlebird remembers everything so neither of them has to start from scratch. |
The Problem Nobody Warns You About
At around file 400, I hit a wall that has nothing to do with coding ability. Context loss. Every time Claude’s context window fills up or a session expires, you lose everything. Every bug you discussed, every architectural decision, every “don’t touch this file because…” - gone. I was spending 30 minutes at the start of every session just re-explaining my own project to an AI that had helped build it. And Lovable? On complex prompts, its actual fix rate was 22%. I tested this rigorously on March 6th: out of 18 corrections Lovable claimed to have made in a batch, only 4 were real. The rest were hallucinated. If you don’t verify every single change against the Git diff, you’re shipping phantom fixes. I was bleeding time and money. One night, my API calls looped with errors while I slept. By morning: $193 burned on nothing. Littlebird caught the pattern and diagnosed the root cause in 2 minutes. Without it, I might not have noticed for another full cycle.
The Breakthrough: Making Them Talk to Each Other
Around mid-March, I did something I haven’t seen anyone else do. I created a “trinome protocol” - a formalized loop where the three AIs communicate without me in the middle. Here’s how it works: Littlebird (which holds the full project memory since October 2025) generates a detailed mission brief Claude Cowork receives the brief, reads the codebase, writes the Lovable prompt, sends it Lovable executes the code changes Claude Cowork verifies on the preview environment, then reports back to Littlebird Littlebird validates, closes tickets, generates the next mission Loop. I set up guardrails: max 5 missions before mandatory human check-in, auto-stop after 2 consecutive failures, credit consumption threshold. Then I hit start and went to bed.
The Results
Over the span of roughly one week (March 14-21), the Boucle completed:
- 25 autonomous missions across 4 phases (responsive design overhaul)
- Phase 1: Header, Sidebar-to-BottomNav, PageContainer, AppLayout
- Phase 2: 10 client-facing pages
- Phase 3: 6 back-office pages
- Phase 4: 5 transversal components (modals, tabs, tables, forms, AI widget) The outcome: Zero regressions on desktop. Full mobile responsiveness. Published to production. Before that, I ran a bug-fixing sprint through the same loop: 7 missions, 18 Lovable prompts, 27 bug tickets closed, 0 regressions detected. I also built a custom Claude Skill called “Littlebird Extended Mind” - essentially a protocol document that teaches Claude Cowork how to consult Littlebird before acting. The rule is simple: “If you think ‘I don’t know which file handles this’ or ‘Has this been fixed before?’ - ask Littlebird first, don’t guess.”
The Hard-Won Rules
After 8 months of this, here are the rules I live by: DIAGNOSE > WRITE PROMPT > SEND > VERIFY. Never skip verification. Lovable will confidently tell you it fixed something it didn’t touch. Anti-Ghost Rule: 1 prompt = 1 bug = 1 file = 1 visual verification. Never trust the “Changes applied” summary. Only the Git diff counts. Handover documents are sacred. Every time a Claude session nears its context limit, I (or Littlebird) generate a comprehensive handover doc. This is the single most underrated practice in vibe coding. It turns session-bound AI into something approaching persistent intelligence. Credits are oxygen. Track them obsessively. Multiple times I’ve had services silently die because a billing threshold was hit (Anthropic, Apify, OpenRouter, Kie AI - all at different times). No alert, just… silent failure.
What I’d Tell a Non-Coder Starting Today
You absolutely can build a real SaaS without coding. But don’t think you need one AI - you need a system. One AI to code, one to orchestrate, one to remember. The coding part is, honestly, the easy part now. The hard part is being the architect of a multi-agent workflow where each agent compensates for the others’ weaknesses:
- Lovable is fast but hallucinates and forgets
- Claude is brilliant but loses context
- Littlebird remembers everything but needs to be asked Together, they’re genuinely more than the sum of their parts. Separately, you’re flying blind with powerful engines. Happy to answer any questions about the setup, the costs ($1000/mo Anthropic, Lovable unlimited since mid-March, Littlebird subscription), or the specific workflows. submitted by /u/LateList1487
Originally posted by u/LateList1487 on r/ArtificialInteligence