Architecture Guidance for Vibe Coders

Map your architecture
before you build

BuildMap gives you architectural clarity before AI generates code. Understand your system, then build with confidence.

⚠️ Honest update: BuildMap doesn't exist as a finished tool yet. This is the vision I'm building over the next weeks. If it resonates, you can follow the journey and get early access.

Join the Waitlist →

The Gap Between Speed and Stability

AI makes code generation instant. Understanding what you're building is still hard.

⚡️

Instant Code

Cursor generates code in minutes. But without architectural thinking, you get fragile systems that break when you add the first feature.

🧱

Missing Foundation

New builders lack architectural concepts (data flow, boundaries, trade-offs) that traditionally came from years of mentorship.

🗺️

BuildMap Bridges

Get architectural guidance before generation. Understand your system, choose your stack, then build with clarity instead of hope.

How BuildMap Works

Four steps from idea to structured, understandable system.

Step 1

Conversation

Tell BuildMap what you want to build. Instead of jumping to code, we ask key questions: Scale? Budget? Technical comfort? Priorities?

For example: Just you or 100 users? Free or $50/month? Learning or shipping?"

"I want to build a job scraper that emails me daily digests."

BuildMap: "Got it. Just for you? How often? What's your Python comfort level?"

Step 2

Compare Options

We present 2-3 architectural paths tailored to your constraints. Each with pros, cons, costs, and complexity levels.

No "one true way" — just options that fit YOUR reality.

Option A: Monolith
Python + SQLite + cron
✅ Simple, $0/mo • ⚠️ Doesn't scale beyond personal use
Option B: Serverless
Lambda + managed DB
✅ Auto-scales, pay-per-use • ⚠️ More complex debugging
Option C: Hybrid
n8n + Python service
✅ Visual + code, fast • ⚠️ Some vendor lock-in
Step 3

Get Your Blueprint

Once you choose, BuildMap generates:

  • 📊 Data flow diagram (see how pieces connect)
  • 📁 Project scaffold (folder structure + what goes where)
  • 💬 Master Prompt (paste into Cursor/Lovable to generate)
  • 📝 Next 5 steps (start here, then this, then that)
// Master Prompt for Cursor

Build a Python monolith job scraper:
- Database: SQLite (file-based)
- Scheduler: cron (runs daily 9am)
- Structure:
  /src
    /scraper  (BeautifulSoup, rate limits)
    /scorer   (relevance filtering)
    /notifier (email digest)
  /config
  main.py

First task: Implement scraper.py
to fetch job listings and return 
List[Dict] with title, company, url.
Step 4

Build With Clarity

Now use Cursor, Lovable, or any AI tool to generate code. But this time, you understand the system you're building.

No more "Day 10 rebuilds" because you have the architectural foundation first.

The difference:

❌ Before: Generate code → hope it works → get stuck deploying

✅ After: Map architecture → generate with clarity → deploy with confidence

Read the Manifesto

We believe AI should amplify architectural thinking, not replace it. Understand the philosophy behind BuildMap.

Clarity Before Code →

Join the Journey

Get early access when BuildMap launches and follow the build-in-public story.

No spam. Just updates on the journey.