Autology FAQs

Question 1

How does Autology capture and utilize knowledge?

Accepted Answer

Autology captures knowledge through automatic hooks, interactive commands, or programmatic tools. It supports 7 knowledge types (e.g., decisions, components, concepts) and 7 relationships. This captured knowledge forms a continuous learning loop, injecting past reasoning into future AI development sessions.

Question 2

What format does Autology use to store captured knowledge?

Accepted Answer

All knowledge captured by Autology is stored in an Obsidian-compatible markdown format. This ensures easy access, integration with existing knowledge bases, and portability for developers.

Question 3

Can Autology help my team understand AI-generated code better?

Accepted Answer

Yes, absolutely. By explicitly capturing the 'why' behind decisions and AI-generated code, Autology provides context and reasoning. This helps developers understand complex AI outputs, prevents knowledge atrophy, and allows teams to build upon collective intelligence.

Question 4

What is Autology and what problem does it solve?

Accepted Answer

Autology is a developer tool designed to capture decisions, reasoning, and knowledge in AI-driven development. It solves the 'crisis of understanding' where AI boosts productivity but reduces transparency and knowledge accumulation, ensuring human understanding expands, not contracts.

Question 5

What types of knowledge and relationships does Autology support?

Accepted Answer

Autology supports 7 distinct knowledge types including decisions (ADR format), components, conventions, concepts, patterns, issues, and sessions. It establishes 7 specific relationships between knowledge nodes, such as 'affects', 'uses', 'supersedes', and 'depends_on'.

Autology

Autology

Key Features

Use Cases

Key Features

Use Cases