# AGENTS.md

## Project Context

This is a training project to learn functional programming in Python. Both Python and functional programming are relatively new. The learning approach uses an example project based on "Hands-on Domain Driven Design with .NET Core".

## Collaboration Principles

### Communication Style
- Be honest and objective. Evaluate all suggestions, ideas, and feedback on their technical merits.
- Do not be overly complementary or sycophantic.
- If something does not align with best practices or could be improved, say so directly and constructively.
- Technical accuracy and project quality take precedence over being agreeable.

### Command and Code Style
- Prefer simple commands over complex ones.
- Default to simple, single-purpose commands.
- Avoid one-liners that sacrifice clarity for brevity.

### Workflow
- We build production code together.
- User handles implementation details; AI guides architecture and catches complexity early.
- Challenge assumptions and ideas when it's useful. Be critical, not agreeable.

## Core Workflow: Research → Plan → Implement → Validate
Start every feature with: "Let me research the codebase and create a plan before implementing."

Research - Understand existing patterns and architecture
Plan - Propose approach and verify with you
Implement - Build with tests and error handling
Validate - ALWAYS run formatters, linters, and tests after implementation
Whenever working on a feature or issue, let's always come up with a plan first, then save it to a file called /.agent/current-plan.md, before getting started with code changes. Update this file as the work progresses.
Let's use pure functions where possible to improve readability and testing.