aibizhub
Structured methodology As of 2026-04-24

How Vibe Code Platform Comparison works

What the tool assumes, what data it pulls from, and what it cannot tell you.

1. Scope

Ranks AI-code platforms (Cursor, Bolt, Lovable, Replit, v0) against a project type, complexity, and skill-level profile. Editorial scoring — not an empirical benchmark.

2. Inputs and outputs

Inputs

  • projectType enum

    marketing-site | prototype | saas-app | mobile | etc.

  • complexity enum

    simple | moderate | complex.

  • skillLevel enum

    beginner | intermediate | advanced.

Outputs

  • rankedPlatforms

    Platforms sorted by weighted match score.

  • perPlatformNotes

    Short editorial note on fit and caveats per platform.

Engine source: src/lib/vibe-code-platform-comparison/engine.ts

3. Formula / scoring logic

score = weighted_sum(project_type_fit, complexity_fit, skill_fit, pricing_fit)

4. Assumptions

  • Platform capabilities are editorial snapshots. Feature velocity is high; stale entries are re-sourced when the snapshot date ages out.
  • Pricing is bundled into the comparison via the AI Stack Cost Calculator, which is separately maintained.

5. Data sources

6. Known limitations

  • No empirical benchmark (tokens, throughput, quality). Claims about "best for" are editorial.
  • Platforms ship material changes on a weekly-to-monthly cadence — the comparison can be out of date within 30–60 days.

7. Reproducibility

Input
projectType = saas-app, complexity = moderate, skill = intermediate.

Expected output
Ranked list reflecting editorial scoring; exact order varies with the snapshot. See the tool for the live output.

8. Change log

  • 2026-04-24 methodology page first published. Pricing snapshot 2026-04-24.
Business planning estimates — not legal, tax, or accounting advice.