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AI-Assisted Development: 28,000 Lines in 13 Days

Published June 2026

ZestyShop went from zero to a fully functional e-commerce marketplace in 13 days. Not with a large team — with one developer, AI pair programming, and a clear architectural plan.

The Raw Numbers

110
Commits
28,618
Lines Added
277
Files Changed
13
Days

Daily Commit Cadence

Development followed a burst pattern — intense feature pushes separated by brief pauses. The largest spike (28 commits on June 16) was the initial v0 scaffold. Subsequent spikes show iterative feature building.

Jun 16
28
Jun 17
11
Jun 19
10
Jun 20
23
Jun 22
20
Jun 28
13
Jun 29
6
DateCommitsTheme
Jun 1628v0 scaffold — auth, payments, emails, checkout
Jun 1711ESLint, Sanity CMS, marketing pages, wishlists
Jun 1910Theme toggle, account consolidation, shipping demo
Jun 2023Multi-vendor marketplace, merchant dashboard, orders admin
Jun 2220Aurora seeding, DB ops, merchant templates
Jun 2813PGlite, content builder, category images, UI polish
Jun 296Architecture diagram, articles, inventory, dark mode fixes

Assumption — burst pattern

The gaps between bursts (Jun 18, 21, 23-27) likely represent planning and debugging phases where fewer atomic commits were made, or days where work happened outside the repo. In AI-assisted workflows, the pattern is common — rapid generation followed by review and consolidation.

What Got Built

Looking at the commit subjects, every core e-commerce feature was delivered in sequence:

  1. Day 1-2 — Auth (Better Auth + Google OAuth), Stripe/Dodo payments, SES emails, checkout flow
  2. Day 3-4 — Admin CMS, product management, category system, content builder
  3. Day 5-6 — Multi-vendor marketplace, merchant dashboard, storefront pages
  4. Day 7-8 — Order management, shipping tracking, admin notifications
  5. Day 9-10 — Database operations (Aurora seeding, PGlite local dev), test suite
  6. Day 11-13 — UI polish (empty states, 404 page, animations, dark mode), documentation

Commit Type Breakdown

Features dominate at 48% — a hallmark of greenfield AI-assisted development where the model generates entire modules from a prompt. Fixes and refactors account for 20%, reflecting the iterative polish cycle.

pie title Commit Types (110 total) "Features" : 53 "Fixes" : 14 "Tests and Docs" : 10 "Refactors" : 8 "Chores" : 6 "Other" : 19
48%
Features
53 of 110 commits
13%
Fixes
14 of 110 commits
17%
Tests & Docs
10 of 110 commits

Contributors — Human + AI

Three entities contributed code to the repository. The mix reveals the AI-assisted workflow:

CodeDoes (AI)72 commits (65%)
v0agent (AI)25 commits (23%)
kit11 commits (10%)
vercel[bot]4 commits (4%)
  • v0agent — Generated the initial scaffold: auth, payments, emails, checkout, pricing pages. 25 commits from the AI agent in the first hours.
  • kit — Human developer. 11 commits covering ESLint setup, Sanity CMS configuration, and metric pages. The human handled tooling and infrastructure.
  • CodeDoes — AI pair programming hybrid. 72 commits (65% of total). A developer using AI as a coding partner — generating features, fixing bugs, refactoring, and iterating at high speed.

Assumption — the AI pair programming ratio

The 72 commits attributed to CodeDoes represent a developer working with AI code generation tools. Each "commit" likely contains a mix of AI-generated boilerplate, human-written business logic, and AI-assisted debugging. The high feature-to-fix ratio (3.8:1) suggests AI handles the initial write; the human handles review and integration.

Why This Matters for the Hackathon

The H0: Hack the Zero Stack challenge is about shipping production-quality software fast. ZestyShop demonstrates that the Vercel + Aurora PostgreSQL stack, combined with AI-assisted development, turns a weekend project into a deployable marketplace. The 28,618 lines of code include:

  • Full product catalog with search, filter, and sort
  • Multi-step checkout with discount codes
  • Email/password and Google OAuth authentication
  • Stripe subscriptions and DodoPayments checkout
  • Multi-vendor marketplace with merchant dashboards
  • Admin CMS for products, orders, content, and theme
  • 165 unit tests and Playwright end-to-end coverage
  • Dual database setup: PGlite for local dev, Aurora PostgreSQL for production

The tools let you build fast. The architecture makes it scale. AI makes it possible in a weekend.

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