Hybrid Development Operating Model

Agents and humans, in the loop. AI agents generate, suggest, and automate. Humans validate, decide, and prioritize. Traceable and audit-ready by design.

Phase 1: Knowledge Mgt Flow
1

Content & Charter Entry

User injects raw project data.

2

Multi-Agent Orchestration

LangChain generates UX, metrics, & stories.

3

HITL Gap Evaluation

SMEs validate visuals & mock-ups offline.

Phase 2: Build Orchestration
1

Agent Swarm Code Gen

Gold data & unit tests generated instantly.

2

Automated QA Rules

Adherence to corporate next-practices enforced.

3

Traceable PR Merges

Defects mapped to RCA with HITL flow control.

Phase 3: Automated Test Flow
1

Script Generation

Integration scripts drafted via business rules.

2

Playwright Execution

Tests run automatically using AI calls & metrics.

3

AI Citation Mapping

Scripts mapped to acceptance criteria & journeys.

Phase 4: Evolution & Metrics
1

Value Tracking Eval

Measure $ value delivered vs. lost continuously.

2

Live BI Dashboards

Key metrics auto-deployed to custom views.

3

Pipeline Feedback Loop

Knowledge mgt feeds back to drive improvement.

Entry Content, Context & Charter

01 Planning & Design

01 Analysis | 02 Design

AI Agent

  • Draft requirements & stories
  • Propose architecture & UX

Human-in-Loop

  • Confirm Architecture
  • Approve scope
▼ Hover for Details ▼

Orchestration & GenAI

User provides content at entry and loads context and project charter. Stories are generated and evaluated.

Multi-Agent Flow

Applies evol agents, content creation agents, and LangChain to ensure full adherence to context engineering requirements.

HITL Gap Validation

Gaps presented via HITL. All artifacts, mock-ups, and visuals are reviewed and validated before sign-off.

Weeks → days

Refinement collapsed. SMEs orchestrated offline ensure completeness.

Exit Design Sign-off
➔
Entry Approved Req. & Design

02 Build

03 Development

AI Agent

  • Write code & tests
  • Refactor code

Human-in-Loop

  • Review PRs
  • Approve merges
▼ Hover for Details ▼

Swarm Orchestration

Initial code and gold data for smoke and unit tests are generated and validated instantly.

Automated Quality Control

A swarm of agents apply rules and monitor standard adherence. Unit tests are conducted on the fly.

Traceability & Flow

Code is traceable to acceptance criteria. Propagates with HITL approval to minimize hallucination risk.

-50% effort

Half the build time. Code generated with context; HITL checks each merge.

Exit Reviewed Code
➔
Entry Reviewed Code & Tests

03 Test & Release

04 Integration | 05 Deployment

AI Agent

  • Create test cases
  • Run CI/CD pipelines

Human-in-Loop

  • Accept risk
  • Approve release
▼ Hover for Details ▼

Automated Script Generation

Functional and integration testing scripts are drafted automatically and evaluated using the business framework.

Playwright Execution

Tests run automatically using Playwright and AI calls with accompanying metrics and artifacts.

Traceability & Visibility

Full visibility of each script with mapping to acceptance criteria and mock-ups using AI citation capabilities.

Weeks → hours

Verification compressed. Tests and data run automatically for final validation.

Exit Verified Release Package
➔
Entry Verified Release Pkg

04 Run & Improve

06 Operations

AI Agent

  • Monitor systems
  • Flag tech debt

Human-in-Loop

  • Confirm root cause
  • Approve backlog
▼ Hover for Details ▼

Value Tracking & Metrics

Initial context is evaluated to generate transactional value tracking and savings as each feature is enhanced. Measure the $ value delivered or lost.

BI Dashboard Deployment

All key metrics are auto-deployed to custom BI dashboards for real-time visibility.

Continuous Improvement

Details around the delivery cycle and transactional tracking are captured to feed the delivery pipeline and develop context/knowledge management.

KPI-aligned

Whole enhancements automated. Requirements feed agents that refine and automate work.

Exit Continuous Loop
Responsible-AI by design. Every gate is enforced by scripted human-in-the-loop logic and granular, transparent reporting — traceability and audit are part of the design and the deliverable, not an afterthought.
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