22 docs tagged with "KERNARO"

Enterprise Architect and Kernaro Beta setup: prerequisites, installation steps, and initial configuration checklist.

Configuration overview for the Kernaro AI test environment — Kernaro add-in setup and Claude API platform preparation.

Introduction to AI-supported Software Development Lifecycle in the context of KERNARO and the CAA approach.

A framing perspective on artificial intelligence in enterprise architecture — is it a risk or a catalyst for better SDLC practices?

Kernaro Chat overview – natural language queries against the EA model: model exploration, document generation, TOC, and functional specification.

Kernaro Chat – natural language model exploration and token cost analysis for an 800 MB EA repository.

Kernaro Chat – Word document generation from an EA model, including context injection behaviour and stop generation.

Kernaro Chat – generating a Table of Contents from an EA model up to L2 package level.

Kernaro Chat – functional specification of a Coffee Machine system: Use Cases, Scenarios tab vs Operations finding, and prompt recommendations.

Event-driven AI agents in Kernaro: detecting missing documentation, applying QA tags, and bulk operations triggered from EA diagram events.

Kernaro AI Agent: detect elements with empty Notes field and apply QA tagged values via EA_OnPostCloseDiagram trigger.

Kernaro AI Agent: validate REF linkage in Instance diagrams using APV metamodel integrity rules (MASTER → REF → Instance).

Testing whether Kernaro can invoke actual Python code (execute_python) vs. built-in EA tools. One use case, three attempts, two side effects.

Overview of Claude Console monitoring dashboards used during the Kernaro Beta test: token usage, cost tracking, and team collaboration views.

Step-by-step screenshots of Claude platform configuration required before starting the Kernaro Beta test.

Testing Kernaro's Script Agent for JavaScript code generation inside Enterprise Architect Script Manager — a practical scenario with empty Notes detection.

Key findings from the Kernaro Beta test: hallucination patterns, read-only tool constraints, and practical recommendations for production use.

Context for Kernaro's position within the broader Sparx Systems AI ecosystem, including EA Native AI Assist and third-party integrations.

Overall assessment of Kernaro Beta: competitive positioning, governance insights, and a transparent note on how this test report was produced.

Interactive site map of all K000104 articles with clickable navigation.

Hands-on evaluation of Kernaro AI Beta – an Enterprise Architect add-in that integrates AI into SDLC modeling workflows. Covers configuration, chat, agent automation, JavaScript generation, and test findings.

Outline of the Kernaro Beta testing approach: scenarios from the EA model side and the Claude Console side.