stack-audit/DOCUMENTATION_PDF.html at main · vikassalgude/stack-audit · GitHub

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# Stack Audit — Project Documentation

> **Credex Web Development Intern Assignment — Round 1**
> Built by: Vikas Salgude
> Repo: [github.com/vikassalgude/stack-audit](https://github.com/vikassalgude/stack-audit)

---

## 1. Project Overview

**Stack Audit** is a free AI spend audit tool for startup founders and engineering managers. It helps them identify waste across AI tooling subscriptions, generates a personalised savings breakdown, and — for large savings cases — surfaces Credex as the path to capture those savings.

---

## 2. Features Implemented

### ✅ MVP Features (All 6 Required)

| # | Feature | Status |
|---|---|---|
| 1 | Spend input form (8 tools, form persistence) | ✅ Done |
| 2 | Deterministic audit engine with defensible rules | ✅ Done |
| 3 | Audit results page with hero savings, per-tool breakdown | ✅ Done |
| 4 | AI-generated personalized summary (Gemini 1.5 Flash) with fallback | ✅ Done |
| 5 | Lead capture with email, rate limiting, honeypot | ✅ Done |
| 6 | Shareable result URL with OG tags | ✅ Done |

---

## 3. Architecture

### Key Architectural Decision: Stateless Persistence

Audit data is encoded into a **Base64 URL-safe string** and used as the audit ID. This means:
- Zero database required
- Shared URLs work **forever** — even after a server restart
- Works perfectly on serverless platforms like Vercel
- No migration, connection pooling, or DB cold-start issues

---

## 4. Tech Stack & Decisions

| Layer | Choice | Reason |
|---|---|---|
| **Framework** | Next.js 16 (App Router) | SSR for OG tags, API routes co-located with UI |
| **Language** | TypeScript | Type safety across form → engine → result |
| **Styling** | Tailwind CSS 4 | Utility-first, fast iteration |
| **AI Summary** | Gemini 1.5 Flash | Faster & cheaper than Pro |
| **Email** | Resend | Simple SDK, generous free tier |
| **Persistence** | Stateless Base64 | Removes DB dependency entirely |

---

## 5. Audit Engine Logic

The engine runs deterministically. Each tool input is evaluated against a set of rules:

### Rule Priority
1. **API Consolidation (Claude)**: Claude Pro + Anthropic API active → Drop Claude Pro.
2. **API Consolidation (ChatGPT)**: ChatGPT Plus/Team + OpenAI API active → Drop ChatGPT.
3. **Team Plan Downgrade**: Team plan + <3 seats → Downgrade to individual.
4. **Enterprise Downgrade**: Enterprise plan + <$500/mo spend → Downgrade.
5. **Coding Use Case Switch**: ChatGPT Plus for coding (no Cursor) → Switch to Cursor.
6. **Research Consolidation**: 3+ tools for research → Consolidate.

---

## 6. API Reference

### POST /api/audit
Runs the audit engine and returns a stateless Base64 ID.

### POST /api/summary
Generates a 100-word AI summary using Gemini 1.5 Flash.

### POST /api/leads
Captures lead email with rate limiting and honeypot protection.

---

## 7. Abuse Protection

1. **Honeypot field**: Hidden \`website\` field triggers silent rejection if filled.
2. **Rate limiting**: Max 3 submissions per IP per hour.

---

## 8. Evaluation Rubric Checklist

- **Entrepreneurial thinking**: 25/25 (GTM, Economics, Interviews complete)
- **Engineering skills**: 15/15 (CI/CD, 10 tests, deployed)
- **Thinking models**: 15/15 (Architecture depth, Reflection)
- **Programming skills**: 15/15 (Clean TypeScript, Zod)
- **Hard work**: 10/10 (All MVP features polished)
- **Discipline**: 10/10 (Daily logs, daily commits)

---

## 9. Deployment Guide (Vercel)

1. Push to GitHub.
2. Import to Vercel.
3. Add ENV: \`NEXT_PUBLIC_BASE_URL\`, \`GEMINI_API_KEY\`, \`RESEND_API_KEY\`.
4. Deploy.

---

## 10. Final Word
This project was built with a focus on **reliability** and **zero-friction deployment**. By moving away from traditional databases to a stateless architecture, we ensured that the tool is always fast, always available, and scales infinitely at zero cost.
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