Show Notes
In this daily update, Parker dives into practical vibe-code pitfalls, stacks that actually work, SEO basics, automation patterns, and how to turn vibe-code work into a standalone service — plus a concrete funnel idea and a live call to join Trouble Free.
Vibe code pitfalls and practical stacks
- Don’t treat AI as a universal tutor only. Use it to augment, not replace, real-world problem solving.
- Pick a single, well-supported stack and stick with it. Don’t chase shiny objects.
- Core stack to consider:
- Supabase (the “green bolt”): Postgres-based database, triggers, SSO, CLI, Edge Functions
- Edge Functions for near-user actions (eg. customized messages)
- Vector tools with PGvector for similarity search and retrieval-augmented generation (RAG)
- Why this matters: clean architecture reduces drift between components and minimizes debugging chaos.
- Quick pattern: one screen for your app, one screen for AI, pick tools, and don’t flip-flop.
- Common pain points to watch for:
- Dependency hell from package.json and mismatched framework versions
- Tailwind gotchas (Tailwind 4 and LM compatibility issues)
- Framework upgrades breaking libs (eg. Next.js version jumps affecting Supabase client or Tailwind)
- Separate auth vs. authorization pitfalls (don’t conflate login with permissions)
Pitfalls tied to Tailwind, dependencies, and framework drift
- Tailwind: avoid Tailwind 4 until it’s stable with your LM context; downgrade to a stable 3.x line if you’re already in-flight.
- Dependency management: package.json can explode when you mix multiple “mini-apps” (Tailwind, Supabase, etc.). Keep a tight, documented set of versions.
- Framework drift: major Next.js upgrades can require syncing several libs; always check compatibility before upgrading.
SEO setup for vibe-code apps
- On-page SEO basics: semantic HTML, proper heading structure (H1 once, H2s for sections), accessible markup.
- Accessibility and semantic signals also influence rankings (ALT text, screen reader friendliness).
- Open Graph metadata: set basic OG tags so previews look right when shared.
- Next.js as the SEO lens:
- SSR (server-side rendering) and ISR (incremental static regeneration) help with fast, indexable content.
- Generate static pages for blog-like content; dynamic routes (e.g., /blog/[slug]) can be prerendered.
- Practical approach: use Next.js for SEO-friendly blog posts; keep a simple content pipeline to publish posts and metadata.
- Real-world note: SEO is a long game — consistent posting and quality content win over quick wins.
Automation patterns for engagement (without sounding like a bot)
- Pattern: classify comments into three buckets (question, suggestion, commentary/hot take) and route each to a tailored response AI draft.
- Human-in-the-loop: AI drafts, then a human reviews before posting to preserve voice and avoid bot-like replies.
- Steps to implement:
- Authenticate and pull comments
- Classify with a simple classifier
- Generate tailored replies (tone guidelines + examples)
- Human review and final post
- The goal: useful, context-aware replies that still feel human and proportional to the comment.
Standalone funnel and mCP cluster concept
- Concept: build a standalone service that connects AI to apps without relying on a single platform.
- What is an mCP cluster? A bridge between AI and apps that exposes deterministic tools (commands) and lets AI orchestrate actions across apps.
- Example workflow (video editing automation):
- Trigger: new video uploaded
- Deterministic steps: create sequence, import latest clip, apply a template, export
- AI pass: remove filler words, auto text editing, apply transcript, optimize audio
- Output: ready-to-publish video on YouTube
- Tools and patterns to explore:
- n8n for workflow automation
- Cursor for macro-like automation
- Repo Mix to flatten a codebase for quick analysis
- Gemini for large-context codebase analysis and recommendations
- The idea is to separate “do this” from “decide what to do,” then automate the routine parts while keeping critical checks human-driven.
Fix My Vibe Code App: ICP, funnel, and standalone potential
- Target customer profile (ICP): Next.js-focused developers who are on a modern stack (Lovable, Shad CN UI, TypeScript, Supabase, Tailwind).
- Funnel blueprint:
- Intake form to capture project details and pain points
- Option to upload the codebase for automated audit
- Automated risk/pitfall checklist plus recommended stack tweaks
- Optional hands-on fix service (subcontracted or in-house)
- Standalone setup idea: a service that analyzes a repo, provides a plan, and optionally executes fixes or returns a prioritized patch list.
- Growth path: position as a “fix my vibe code app” service, with content that outlines the common pitfalls and the fixes, driving SEO and inbound inquiries.
Quick actionable takeaways
- Lock in a single, solid stack (Supabase + Postgres + Edge Functions + PGvector) to minimize chaos.
- Watch for dependency drift; downgrade Tailwind 4 if necessary and align with your framework versions.
- Start with Next.js SEO basics: semantic HTML, proper metadata, and static generation where possible.
- Build a three-path automation flow for engagement (classify, route, human-review).
- Consider an mCP-style standalone funnel to scale beyond client work.
- Test the ICP funnel: offer a “fix my vibe code app” service with a code-upload audit to capture high-intent leads.
Links
- Supabase: https://supabase.com
- PostgreSQL: https://www.postgresql.org
- PGvector: https://github.com/pgvector/pgvector
- Next.js: https://nextjs.org
- Tailwind CSS: https://tailwindcss.com
- OpenAI API: https://platform.openai.com
- Gemini (Google): https://ai.google