continuous-learning-v2

You can personalize AI behavior by using a continuous learning approach that observes your tool usage via hooks to generate atomic instincts. These instincts are clustered into higher-level skills and commands, adapting the AI to your specific workflows and coding style over time.

Setting up continuous learning involves adding a provided JSON snippet to your `~/.claude/settings.json` file to enable observation hooks. This configuration allows a background observer agent to detect patterns and create instincts from your tool usage.

Atomic instincts are granular behavioral rules generated by observing your tool usage and corrections with assigned confidence scores. They are clustered together over time to evolve into complex, actionable skills, commands, or agents that match your workflows.

No, automatic instinct creation requires hooks to be configured in your Claude Code settings. The background observer agent relies on these hooks to monitor tool usage and detect patterns to generate the instincts accurately.

Yes, AI behavior can be personalized to use functional programming patterns automatically. If you repeatedly correct the AI, the system will create a `functional-patterns` skill that Claude Code will then apply by default in future sessions.

The best way to evolve AI instincts into higher-level commands and agents is through continuous pattern evolution. This mechanism automatically clusters related atomic instincts generated from your observed interactions into more complex, actionable skills, commands, or agents.