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AI Engineering Initiative
Fully Agentic 360° Software Assessment Framework
An independent AI engineering initiative focused on automating software project evaluation using multi-agent systems and agentic AI orchestration.
Business Challenge
The goal was to eliminate manual effort in software project assessments by building a fully autonomous, multi-agent AI system. The framework needed to evaluate architecture, code quality, security, DevOps, and monitoring across 90+ checklist items and produce professional HTML reports without human intervention.
Key Features
11 specialised Claude Code skills each autonomously assessing a distinct software dimension.
LangGraph stateful workflows managing multi-agent orchestration and parallel subagent dispatch.
Evidence-gathering via bash commands with adaptive scoring per checklist item.
MCP server integration for extended tool access during assessments.
Automated generation of HTML reports with radar charts and UML diagrams.
Claude Agent SDK used for skill composition and agent lifecycle management.
LangChain / LangGraph for stateful agent memory and workflow transitions.
Results
Fully automated assessment pipeline replacing hours of manual review.
90+ checklist items evaluated per project with consistent, reproducible scoring.
Multi-agent parallelism reduced total assessment time by over 70%.
Professional-grade reports generated end-to-end without human intervention.
Tech Stack
Anthropic Claude
Claude Code CLI
LangChain
Claude Agent SDK
MCP Servers
Multi-Agent Systems