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360° AI Codebase Assessments for Industrial Platforms
Client name withheld · Manufacturing
Engineering dimensions
10, scored 0–10
Scored reports
7 per platform
Consolidation options
4 compared
Persona-based AI skills audited a mining operations platform and three other products, scored each on 10 engineering dimensions, and compared two industrial platforms for consolidation.
Architecture
After
Lenses
10 dimensions
11 persona skills
Evidence
Code and data
Claude Code · MySQL MCP
Security
OWASP ASVS
IEC 62443
Output
Scored HTML reports
PlantUML · Chart.js
Persona-based skills read each codebase lens by lens, gather the evidence and write scored reports, with a security lens and generated diagrams.
What we built
Expert-persona agents audit a codebase on 10 engineering dimensions and write scored HTML reports with a confidence method. They audited a mining operations platform and three other products, scoring each from 0 to 10 on ten dimensions, among them architecture, code quality, tests, CI/CD, performance, data, DevOps, monitoring and security.
Key Features
11 persona-based Claude Code skills, auditing as experts on 10 engineering dimensions.
Scored HTML reports from 0 to 10 per dimension, with the evidence and a confidence method.
A security lens built on OWASP ASVS and IEC 62443.
Diagrams from PlantUML, including ERDs and sequence charts, and charts from Chart.js.
A companion VS Code extension with configurable AI providers and Jira and Confluence integration.
Results
Four products audited, a mining operations platform among them.
7 scored reports per platform.
A consolidation study comparing two industrial platforms across minimal, hybrid, integration and migration options, with an executive deck.
Stack
Engagement: Ongoing · AI-Assisted Engineering
Next step
Let’s look at your SDLC together.
45 minutes with a senior engineer: your setup, the risks, what to fix first. No sales team.