Instinct FAQs

Question 1

What is Instinct?

Accepted Answer

Instinct is a powerful tool that provides self-learning memory for AI coding agents. It observes recurring patterns in your agent's behavior, tracks their confidence, and promotes them into actionable suggestions, preventing your AI from making the same mistakes twice or forgetting your preferences.

Question 2

How does Instinct improve my AI coding agent's performance?

Accepted Answer

Instinct significantly enhances AI agents by enabling them to learn from repetition and adapt to your unique workflow. It automates the detection of tool sequences, preferences, and fixes, turning observations into concrete rules that guide your agent's actions without constant explicit instructions.

Question 3

What kind of patterns can Instinct learn and suggest?

Accepted Answer

Instinct can learn various patterns, including sequential tool usage (e.g., `lint->fix->lint`), user preferences (e.g., `pref:style=black`), recurring bug fixes (e.g., `fix:missing-import`), and effective tool combinations. It automatically detects these from observation timestamps.

Question 4

Which AI coding platforms are compatible with Instinct?

Accepted Answer

Instinct is compatible with any MCP (Model Context Protocol) client. This includes popular AI coding agents like Claude Code, Cursor, Windsurf, Goose, and Codex. It also supports multi-platform rule export to formats like CLAUDE.md, .cursorrules, and Agent Skills (SKILL.md).

Question 5

How does Instinct promote patterns from observation to actionable rules?

Accepted Answer

Instinct uses a maturity level system: patterns start as 'raw' observations. With enough confidence (repeated observations), they become 'mature' (suggested to the agent), then 'rule' (strong enough for auto-application), and finally 'universal' if observed across multiple projects, enabling cross-project learning.

Instinct

Instinct

主要功能

使用案例

主要功能

使用案例