QUAD™ - Quick Unified Agentic Development (Detailed Guide)
Table of Contents
Shared vs Dedicated Resources
QUAD allows flexible resource allocation based on project needs:
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SHARED vs DEDICATED SPECTRUM
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MORE DEDICATED MORE SHARED
CIRCLE 1 CIRCLE 2 CIRCLE 3 CIRCLE 4
MGMT DEV QA INFRA
Dedicated Dedicated Shared Shared
per project per project across across
projects directors
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Default Allocation
Organizational Structure
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GROUP (e.g., Wealth Management)
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Director A Director B Director C
Project 1 Project 3 Project 5
Project 2 Project 4 Project 6
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SHARED RESOURCES
Circle 4 Circle 3 Enabling Teams
(Infra) (QA Pool) (Architect, etc.)
ALWAYS USUALLY OPTIONAL
SHARED SHARED
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QUAD Hierarchy & Rules
Rule Hierarchy
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BASE RULES (QUAD Platform) <-- Universal do's and don'ts
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COMPANY-WIDE RESTRICTIONS <-- Entity/Org level policies
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DIRECTOR RESTRICTIONS <-- Program/Portfolio level
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TECH LEAD RESTRICTIONS <-- Team level
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TEAM MEMBER CUSTOMIZATION <-- Personal preferences
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RULE: Each level can ADD restrictions, never CONTRADICT upper levels
Example Rules
What Can Be Customized
Agent Class-Object Pattern
QUAD agents follow a class-object instantiation pattern:
How It Works
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AGENT LIFECYCLE
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CLASS (Template) OBJECT (Instance)
Story Agent assign Suman's Story
+ setup
- Capabilities - Connected
- Base rules - App password
- No connection - Local machine
- "Ready" state - User context
Cannot execute tasks Can execute tasks
Just a definition Knows who it serves
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Setup Flow
Key Points
AI Agent Pipeline
Agent Pipeline
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Agent Agent Agent Agents
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Horizon Code Push DEV Ready Tests Pass
|
v
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Agent Agent Agent
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Production QA Ready PR Created
Agents by Circle
Circle 1: Management Agents
Estimation Agent Pipeline (Deep Dive)
The Estimation Agent is unique - it orchestrates multiple agents in a sequential pipeline to produce accurate, confidence-based estimates.
#### Pipeline Architecture+-------------------------------------------------------------------+
ESTIMATION AGENT PIPELINE
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TRIGGER: Story marked "Ready for Estimation"
Agent Agent Agent Agent
v v v v
Analyzes: Analyzes: Analyzes: Aggregates:
- Files - Tables - Screens - All inputs
- Components - Migrations - User flows - Confidence
- Complexity - Queries - Integrations- Final estimate
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#### Pluggable Interface
Each agent in the pipeline implements a standard interface:
interface EstimationContributor {
name: string;
analyze(story: Story, context: Context): AgentAnalysis;
getConfidenceImpact(): number; // -20 to +10
isRequired(): boolean; // Can be skipped?
}
Pluggable Design: Agents can be added/removed from pipeline:
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CONFIDENCE CALCULATION
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BASE CONFIDENCE: 90%
DEDUCTIONS (reduce confidence):
Factor Deduction
High code complexity (>50 files) -15%
Database migration required -10%
External API integration -10%
New technology/framework -15%
Cross-team dependency -10%
Unclear requirements -20%
No similar past stories -10%
ADDITIONS (boost confidence):
Factor Addition
Similar story completed before +10%
High test coverage in area +5%
Clear requirements +5%
Same developer did similar +5%
FINAL CONFIDENCE = 90% + additions - deductions
(Minimum: 30%, Maximum: 95%)
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#### Output Format (Full Breakdown)
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ESTIMATION RESULT
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Story: "Add dark mode toggle to settings"
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COMPLEXITY: Octahedron (8)
CONFIDENCE: 78%
EFFORT: 5-6 days
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BREAKDOWN BY AGENT:
Code Agent: 3 files, 2 components, medium complexity
DB Agent: 1 new column (user_preferences.theme)
Flow Agent: 2 screens affected, 1 API endpoint
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RISKS:
⚠️ CSS variable system not standardized
⚠️ No existing theme context in app
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SIMILAR PAST STORIES:
• "Add language toggle" - Cube (6) - Actual: 5 days ✅
• "Add notification preferences" - Octahedron (8) - Actual: 7d
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#### Human Override with AI Learning
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HUMAN OVERRIDE FLOW
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1. AI PRESENTS ESTIMATE
Complexity: Octahedron (8), Confidence: 78%
2. HUMAN REVIEWS
[Accept AI Estimate] or [Override]
3. IF OVERRIDE:
Human Estimate: [Cube (6) ▼]
Reason: "I've done this exact thing before, simpler"
[Submit Override]
4. STORY COMPLETION (later)
Story completed in: 5 days
5. AI LEARNING
ESTIMATION FEEDBACK
AI Estimate: 8 → Human Override: 6 → Actual: 5
✅ Human was closer!
📚 AI learning: Adjusting confidence for similar
stories involving "toggle" + "settings" patterns
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Key Points:
Circle 2: Development Agents
Circle 3: QA Agents
Circle 4: Infrastructure Agents
Flow Documentation
Flow Document Structure
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FLOW DOCUMENT TEMPLATE
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<h1 class="text-3xl font-bold text-white mb-8">FLOW: [Feature Name]</h1>
<h2 class="text-2xl font-bold text-blue-300 mt-10 mb-6">Overview</h2>
Field Value
Flow ID FLOW_XXX_001
Owner Circle 1 (BA/PM/TL)
Last Updated YYYY-MM-DD
Status Draft / Active / Retired
<h2 class="text-2xl font-bold text-blue-300 mt-10 mb-6">Step 1: [Action Name]</h2>
<h3 class="text-xl font-bold text-white mt-8 mb-4">UI</h3>
Element Type Validation
Field name TextInput Required, format
Button Button Disabled until valid
<h3 class="text-xl font-bold text-white mt-8 mb-4">Screenshot</h3>
[Include screenshot or mockup]
<h3 class="text-xl font-bold text-white mt-8 mb-4">API</h3>
POST /api/endpoint
Content-Type: application/json
Request:
{
"field": "value"
}
Response (200):
{
"result": "data"
}
Response (4xx/5xx):
{
"error": "message",
"code": "ERROR_CODE"
}
<h3 class="text-xl font-bold text-white mt-8 mb-4">Database</h3>
-- Query executed
SELECT columns FROM table WHERE condition;
-- Insert/Update
INSERT INTO table (columns) VALUES (values);
<h3 class="text-xl font-bold text-white mt-8 mb-4">Test Cases</h3>
TC ID Scenario Input Expected API DB Check
TC001 Happy path valid input 200 Yes row added
TC002 Invalid input bad input 422 No no change
<h2 class="text-2xl font-bold text-blue-300 mt-10 mb-6">Step 2: [Next Action]</h2>
...
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QA Testing View (Auto-Generated from Flow)
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QA TESTING VIEW
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Flow: FLOW_LOGIN_001
Test Checklist (auto-generated from flow):
UI Tests:
[ ] Email field shows keyboard
[ ] Password field masks input
[ ] Login button disabled when empty
[ ] Error message displays on failure
API Tests:
[ ] POST /api/auth/login returns 200 with valid creds
[ ] Returns 401 with invalid password
[ ] Returns 422 with malformed email
[ ] Response contains token and user object
Database Tests:
[ ] users.last_login_at updated on success
[ ] device_login_history row created
[ ] login_attempts incremented on failure
[ ] No data changed on validation failure
Edge Cases:
[ ] SQL injection attempt blocked
[ ] Account lockout after 5 failures
[ ] Concurrent login from 2 devices
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One Source of Truth Architecture
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ONE SOURCE OF TRUTH
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GIT REPOSITORY
(Version Controlled)
v v v
/docs /src /tests
flows/ code specs
v
QUAD WEB APP
- Flow viewer
- API browser
- DB schema viewer
- AI chat (RAG)
- Test dashboard
v v v
Confluence Jira Swagger
(sync) (sync) (auto)
All tools sync FROM Git (single source)
Never edit in Confluence directly
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Productivity Benefits
Technical Debt Handling
QUAD handles technical debt continuously, not in batches:
Approach: Continuous + Visibility
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TECHNICAL DEBT APPROACH
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1. REFACTOR AGENT (Continuous Scanning)
- Scans for code duplication
- Identifies long methods (>50 lines)
- Flags high cyclomatic complexity
- Checks outdated dependencies
- Detects security vulnerabilities
- Finds missing tests
- Creates tickets automatically
2. BOY SCOUT RULE
"Leave code better than you found it"
- When dev touches a file, fix small issues
- Include quick improvements with feature work
- No separate "tech debt stories" for small items
3. DEBT DASHBOARD (Visibility)
- Overall debt score visible to all
- Trends: improving, stable, declining
- Alerts when score drops below threshold
4. DEBT CEILING
- If score < 60, Director is alerted
- May pause features until debt reduced
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Tech Debt Dashboard
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TECH DEBT DASHBOARD
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Overall Debt Score: 72/100 (Healthy)
████████████████████░░░░░░░░░░
By Category:
Category Score Trend
Code Quality 85/100 ^ Improving
Test Coverage 70/100 - Stable
Dependencies 60/100 v Declining
Documentation 75/100 ^ Improving
Action Items: 3 Critical items need attention
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Enabling Teams
Enabling Teams are optional support groups that are NOT counted as QUAD circles:
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ENABLING TEAMS
(Optional)
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Architect Security Compliance
Group Team Team
- Solution - Vuln scans - HIPAA check
- Domain - Pen testing - SOC2 audit
- Database - Code review - GDPR review
- Cloud
v v v
Design Agent Security Compliance
Scanner Checker
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QUAD = 4 Circles + AI Core + Optional Enabling Teams
Team Setup & Project Lifecycle
Team Setup Checklist
Project Lifecycle (12-Month Example)
Related Documentation
QUAD™ - A methodology by Suman Addanki | First Published: December 2025