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Prototype Fast: Solo Dev "Difficulty Settings" Using Constraints

Posted by Gemma Ellison
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July 27, 2025

Prototype Fast: Solo Dev “Difficulty Settings” Using Constraints

Difficulty settings are vital, but implementing them early in solo development can feel like a Sisyphean task. You’re already juggling art, code, and design. Spending weeks crafting a robust difficulty system before the core gameplay loop is solid is a classic mistake. Don’t do it.

Instead, let’s explore a faster, more iterative approach using in-engine constraint systems. Think of it as “prototype difficulty,” not “final difficulty.” This lets you quickly test different balance points and gather valuable playtest feedback without getting bogged down in complex scripting.

What are Constraints?

Constraints are essentially visual scripting tools that allow you to link object properties together in a defined relationship. In Unity, this is the Constraint component (Position Constraint, Rotation Constraint, Scale Constraint). Other engines offer similar systems. They let you say, “This enemy’s speed is always X% of this global difficulty variable” without writing a single line of code.

Enemy Aggressiveness: Constraint-Based Rage

Let’s tackle enemy aggressiveness. A common mistake is directly modifying AI behavior trees through code for each difficulty level. This quickly becomes unwieldy.

Instead, create a “Difficulty Controller” game object with a script that holds a simple float value representing the difficulty level (0 to 1 is a good starting point). Then, use constraints to affect enemy behavior.

For example, if you have an enemy animation state machine with a “Patrol Speed” and “Chase Speed” variable, use a constraint to link these variables to the difficulty controller’s float value. You can define a minimum and maximum speed for each, so at difficulty 0, the enemy barely moves, and at difficulty 1, they’re relentlessly pursuing the player.

I’ve used this approach to scale enemy perception range, attack cooldown, and even the frequency of special abilities. The key is to identify numerical values that influence behavior and expose them to constraint-based modification.

Resource Scarcity: The Hunger Games Approach

Resource scarcity is another area ripe for constraint-driven difficulty scaling. Instead of hardcoding resource drop rates for each difficulty, create a “Resource Multiplier” variable on your Difficulty Controller.

Then, use a constraint (or, more likely, a small script that reads the constraint value) to adjust the probability of resource drops, the amount of resources dropped, and even the cost of items in shops.

A common pitfall here is forgetting to clamp the values. If your Resource Multiplier goes negative, you might inadvertently create a resource abundance at higher difficulties. Always ensure your constraints are bounded to realistic ranges.

I once forgot to clamp the “Item Cost Multiplier” and ended up with players getting paid to buy items at the highest difficulty. Fun, but not intended.

Player Vulnerability: Glass Cannon vs. Tank

Adjusting player vulnerability can drastically alter the perceived difficulty. You can use constraints to manipulate incoming damage multipliers, player health regeneration rates, or even movement speed penalties for taking damage.

For instance, you can create a “Damage Taken Multiplier” on the Difficulty Controller and use a constraint on the Player’s Health component to multiply incoming damage by this value.

Avoid making the player too vulnerable at higher difficulties early on. One-hit kills are rarely fun unless specifically designed for that type of experience. Start with small adjustments and iterate based on playtest feedback.

Iteration and Limitations

The beauty of this constraint-based approach is rapid iteration. Changing the Difficulty Controller’s value and immediately seeing the impact on enemy behavior, resource availability, and player vulnerability is incredibly powerful.

However, it’s crucial to acknowledge the limitations. Constraints are excellent for linear scaling. They struggle with more complex, nuanced difficulty adjustments. For example, if you want to introduce entirely new enemy types or drastically alter AI behavior at higher difficulties, you’ll eventually need to transition to scripting.

Another limitation is performance. Excessive constraints can impact performance, especially on mobile platforms. Profile your game regularly and consider optimizing or transitioning to code when performance becomes an issue.

Actionable Tips

  • Start with a simple 0-1 difficulty range. This provides a good baseline for experimentation.

  • Focus on the most impactful difficulty factors first (e.g., enemy aggressiveness, resource scarcity).

  • Playtest constantly. Constraints make it easy to tweak values, but playtesting is essential to ensure the changes are meaningful and enjoyable.

  • Document your constraint setup. This will make it easier to understand and maintain the system as your game evolves.

  • Don’t be afraid to break constraints. As your game becomes more complex, you’ll likely need to transition some aspects of the difficulty system to code.

From Prototype to Production

Constraints offer a fantastic starting point for implementing difficulty settings, allowing for rapid prototyping and iterative refinement. But don’t treat them as a final solution. As your game matures, be prepared to refactor parts of the difficulty system into code to achieve the desired level of control and nuance.

Think of constraints as training wheels. They help you get the prototype rolling quickly, but eventually, you’ll need to learn to ride without them.