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# Treat yourself - A tale about dog training and test-driven development

What does dog training have to do with Test-Driven Development? Discover how treating the Red, Green, Refactor cycle like animal conditioning triggers dopamine and prevents over-engineering.

- **Speakers:** Mirjam Aulbach
- **Event:** World Congress 2022
- **Published:** June 15, 2022
- **Duration:** 43:19
- **URL:** https://www.wearedevelopers.com/videos/446-treat-yourself-a-tale-about-dog-training-and-test-driven-development

## Summary

Miriam, a former professional dog trainer turned frontend engineer, explores the fascinating psychological and practical parallels between animal behavioral conditioning and Test-Driven Development (TDD). Just as dog training relies on visualizing an end behavior and shaping it through tiny, positively reinforced increments, TDD structures software development into highly focused, manageable steps. By adhering to the "Red, Green, Refactor" cycle, developers can avoid over-engineering and define precise entry-point criteria, much like establishing clear, step-by-step commands for a pet.

Using a simulated dog training program written in JavaScript and tested with the Jest framework, the presentation demonstrates how composing tiny unit tests before writing functional code builds a reliable, well-balanced software testing pyramid. Writing just enough logic to satisfy a failing test serves up immediate success markers—triggering internal dopamine rewards not unlike giving a dog a treat. This iterative methodology systematically surfaces bugs, accommodates easy refactoring of logic (such as organizing arrays of dog rewards and punishments), and firmly anchors the coder's attention on the immediate problem without succumbing to distracting side-quests.

Ultimately, TDD functions more as a holistic design strategy than a mere software testing chore, producing clean, unassuming code that incrementally solves specific problems. To adopt the practice successfully, engineers should start with familiar, bounded challenges—like basic coding katas—and remain open to writing temporary logic strictly to pass tests. While TDD powerfully enforces focus and code stability, Miriam emphasizes avoiding dogmatic mandates; exploratory work, such as drafting UI components or validating larger end-to-end user flows, often requires supplementary approaches and flexible test coverage beyond strict TDD loops.

**Keywords:** test-driven development, TDD approaches, red green refactor cycle, software testing pyramid, javascript unit testing, jest testing framework, agile software development, positive reinforcement in coding, iterative software design, developer feedback loops, programming katas, code refactoring methodology, edge case test coverage, exploratory UI testing, developer productivity workflows

## Chapters

1. **Finding parallels between dog training and software testing** (00:05) — The core philosophies of teaching animal behavior apply directly to building reliable software systems.
1. **Training behaviors through technical positive reinforcement** (04:11) — Creating reliable outcomes requires understanding internal reward mechanisms rather than relying on external assumptions.
1. **Defining precise acceptance criteria and progressive training steps** (06:46) — Clear behavioral definitions and minimal progressive increments prevent frustration and construct consistent success.
1. **Understanding the test-driven development cycle and workflow** (09:35) — Development driven by failing tests ensures functionality is built only with minimal required code and constant refactoring.
1. **Balancing the test pyramid with foundational unit tests** (12:36) — Test-driven development naturally generates a robust base of fast unit tests for agile continuous deployment.
1. **Building a minimal training simulator with JavaScript and Jest** (17:02) — Translating abstract behavioral goals into testable object-oriented classes and minimal passing assertions sets a framework.
1. **Leveraging dopamine feedback cycles during the development process** (22:07) — The internal satisfaction of making failing tests turn green mimics mammalian positive reinforcement mechanisms.
1. **Iterating on test cases to implement robust feature logic** (26:13) — Writing subsequent focused tests exposes logical flaws early and safely guides refactoring without breaking existing features.
1. **Managing edge cases and state variables in test configurations** (33:51) — Tracking interaction states and testing unexpected inputs ensures systems gracefully process invalid or punishing actions.
1. **Adopting test-driven design as a strategic development methodology** (39:18) — Approaching software architecture through small testable iterations builds cleaner logic and sustains developer momentum.

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