SYSTEMATIC APPROACH

Bridging systems engineering rigor with AI-enhanced development for verifiable outcomes.

"I use systems engineering principles to maintain complete traceability, leveraging AI agents to accelerate the rigor without losing human intent."

PHASE 01

Identify actors, user needs, and system constraints before discussing technical solutions.

SysML Artifacts

Use Case Diagrams Context Diagrams

Objectives

Extract true user intent
Define clear success criteria

Objectives

Tech-agnostic analysis
Functional flow mapping

PHASE 02

Functional decomposition of the system. Modeling behavior via flows and interactions.

SysML Artifacts

Activity Diagrams Sequence Diagrams

PHASE 03

Deriving testable behavioral requirements using AI-assisted workflows.

AI Enhancement

Scenario Gen Gap Analysis

Input: Functional Models
Output: Gherkin Specs

Input: Behavioral Specs
Output: Tested Code

PHASE 04

Spec-driven implementation. AI agents scaffolding code against rigorous BDD tests.

AI Enhancement

Auto-Scaffolding Test Generation

PHASE 05

End-to-end validation. Ensuring implementation actually fulfills the original intent.

AI Enhancement

Coverage Analysis Feedback Loop

Feedback Loop
Verification results drive the next discovery phase.

Let's discuss how systematic, AI-enhanced development can bring clarity to your next project.