Case Study

Calculator Web App

Agile vs QUAD - A Side-by-Side Comparison

See how a simple calculator project would be built using traditional Agile/Scrum compared to QUAD methodology. Understand where human gates exist and where AI agents can run autonomously.

The Project

Scope

Build a web-based calculator with basic operations (+, -, *, /)

Features

  • Basic arithmetic operations
  • Clear and backspace functionality
  • Keyboard support
  • Responsive design
  • Unit tests

Process Flow Comparison

See the dramatic difference in human effort and time investment

Agile/Scrum Approach

👤
Sprint Planning4 hrs

Team estimates, grooming

👤
Daily Standups2.5 hrs

15 min x 10 days

👤
Development40-60 hrs

Manual coding, reviews

👤
Testing10-20 hrs

Manual QA, bug fixes

👤
Sprint Review2 hrs

Demo, retrospective

👤
Deployment2-4 hrs

Manual pipeline

64-88 hrs
Human effort over 2 weeks

QUAD Approach

👤
Requirements30 min

BA writes brief, reviews AI output

🤖
Story Agent5 min

Auto-generates detailed stories

🤖
Dev Agents15 min

Scaffolds UI + API code

👤
Code Review2-3 hrs

Developer reviews AI code

🤖
Test Agents9 min

Generates & runs all tests

🔄
QA + Deploy1 hr

Human QA, auto deploy

5-6 hrs
Human effort over 2-3 days

Summary Comparison

Human Hours
Agile: 64-88
QUAD: 5-6
92% better
Meeting Time
Agile: 12-16 hrs
QUAD: 1.5 hrs
90% better
Duration
Agile: 2 weeks
QUAD: 2-3 days
85% better
AI Automation
Agile: 0%
QUAD: ~90%
Max better

Human Gates in QUAD

These are non-negotiable human approval points. AI assists, humans decide.

📋

Gate 1: Requirements Approval

Who: Business Analyst / Product Owner
When: After Story Agent generates detailed stories
What: Review acceptance criteria, edge cases, estimates
Time: 30 minutes
💻

Gate 2: Code Review

Who: Developer / Tech Lead
When: After Dev Agent generates code
What: Review logic, patterns, security, quality
Time: 2-3 hours
✅

Gate 3: QA Sign-off

Who: QA Engineer
When: After Test Agents complete automation
What: Review results, exploratory testing
Time: 1 hour
🚀

Gate 4: Production Approval

Who: Tech Lead / Director
When: Before Deploy Agent pushes to production
What: Final sign-off, risk assessment, rollback plan
Time: 15-30 minutes

AI Autonomous Zones

These tasks run without human intervention - fully automated by AI agents

1

Zone 1: Story Expansion

AUTO
AgentStory Agent
InputBrief requirement from BA
OutputDetailed user stories with acceptance criteria
TriggerImmediately on input
2

Zone 2: Code Generation

AUTO
AgentDev Agent (UI + API)
InputApproved user stories
OutputScaffolded code, components, services
TriggerOn story approval
3

Zone 3: Test Generation & Execution

AUTO
AgentTest Generator + UI Test + API Test
InputCode and flow documentation
OutputTest cases, execution results, coverage report
TriggerOn code push
4

Zone 4: DEV/QA Deployment

AUTO
AgentDeploy Agent
InputCode merge + tests passing
OutputDeployed to DEV/QA environment
TriggerOn merge (PROD needs approval)
5

Zone 5: Documentation Generation

AUTO
AgentDocumentation Agent
InputCode changes, API endpoints
OutputUpdated flow docs, API docs, changelog
TriggerOn deployment

Key Takeaways

🎯

Simple Projects = Big Wins

Even a 'simple' calculator has ~50 test cases. AI generates them in seconds vs hours manually.

🧠

Human Brains for Human Decisions

Is the UX intuitive? Is the code secure? Is it production-ready? These need human judgment.

🤖

AI for Repetitive Work

Scaffolding, test cases, deployments, documentation - let AI handle the repetitive tasks.

📚

Documentation = Test Cases

Flow docs auto-generate test checklists. QA never asks 'what should I test?'

Apply This to Your Project

Start small, add agents gradually

Week 1-2
Story Agent
AI-enhanced requirements
Week 3-4
+ Dev Agent
AI code scaffolding
Week 5-6
+ Test Agents
Automated testing
Week 7+
Full Pipeline
End-to-end automation