AI Architect FAQs

Question 1

Can AI Architect learn and improve over time?

Accepted Answer

Yes, with its optional Cortex integration, AI Architect offers persistent cognitive memory. This allows it to recall past findings and decisions, enabling cross-session learning and continuous improvement for future pipeline runs.

Question 2

What is AI Architect?

Accepted Answer

AI Architect is an autonomous software engineering pipeline designed to automate the entire development lifecycle, from identifying initial findings to generating and verifying pull requests with an 11-stage process.

Question 3

What kind of intelligence does AI Architect use for code analysis?

Accepted Answer

AI Architect integrates 17 codebase intelligence tools with multi-language Tree-sitter parsing for deep structural analysis, alongside 5 science-backed Git analytics (ownership, bus factor, churn, cochange, dead code) to provide comprehensive insights.

Question 4

How do I integrate AI Architect into my development workflow?

Accepted Answer

AI Architect integrates seamlessly with Claude Code via a plugin, or can be manually set up for Cursor, VS Code, and Claude Desktop. It provides slash commands for full pipeline execution and direct calls for individual MCP tools.

Question 5

How does AI Architect ensure code quality and reliability?

Accepted Answer

It leverages 64 deterministic Hostile-Operating-Rules (HOR) across 10 categories and 5 advanced verification algorithms. This ensures that every PR passes its own rigorous, evidence-based gates, avoiding subjective LLM judgments.

AI Architect

AI Architect

主要功能

使用案例

主要功能

使用案例