myHotTake

Tag: TypeScript breaking changes

  • Handling Breaking Changes in JavaScript Type Definitions: How?

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    I’m a toy collector, and my collection is like a playground of different action figures and dolls. Each toy represents a different type definition in a JavaScript project. Over time, I love upgrading my collection, introducing new toys, or refining the old ones to keep things exciting.

    One day, I decide to upgrade one of my favorite toy series, let’s say the “Robot Rangers.” The new series has some fantastic upgrades, but there’s a catch: the new robots no longer fit into the existing playsets and vehicles I have. This is what we call a “breaking change” in toy terms—or in JavaScript, a breaking change in type definitions.

    At first, I panic a little. My playsets are my existing code, and they rely on the old robots fitting perfectly. But then, I remember that every problem has a solution. I start by carefully looking at my playsets and figuring out what needs to change so the new robots can fit in. Sometimes, I might need to build adapters—little pieces that help connect old parts with the new ones. These adapters act like special functions or patches in my project, ensuring everything works smoothly.

    Next, I test my playsets by placing the new robots in them. If they work well, I know my patches are successful. If not, I tweak and test again. This iterative process feels like upgrading a software project, where I test my code to ensure it integrates well with the new type definitions.

    Finally, once everything is set up, I can enjoy my upgraded toy collection. It’s more dynamic, and I have more fun playing with it. Similarly, handling breaking changes in JavaScript type definitions means investing a little time in understanding and adapting, but the payoff is a more robust and maintainable project.

    And that’s my toy story of handling breaking changes—it’s all about adapting, testing, and enjoying the upgrades! If this story made the concept clearer for you, go ahead and give it a like or share it with fellow JavaScript enthusiasts!


    In the world of JavaScript, dealing with breaking changes in type definitions is much like modifying our toy playsets to accommodate new toys. Let’s say I have a type definition for a “RobotRanger” in my TypeScript code:

    // Old RobotRanger type
    type RobotRanger = {
      id: number;
      name: string;
      weapon: string;
    };

    In the new series, the robots have additional capabilities and no longer use a single weapon, but multiple tools. Here’s the updated type definition:

    // New RobotRanger type with breaking changes
    type RobotRanger = {
      id: number;
      name: string;
      tools: string[];
    };

    Now, if I have existing functions or components that rely on the old weapon property, they’ll break. Here’s how I can handle this:

    1. Identify Impacted Code: Just like examining my playsets, I identify all functions or code parts using the old RobotRanger type.
    function displayRangerInfo(ranger: RobotRanger) {
      console.log(`Ranger ${ranger.name} wields ${ranger.weapon}`);
    }
    1. Create Adapters or Update Functions: I update or create adapter functions to handle the new tools array.
    function displayRangerInfo(ranger: RobotRanger) {
      const primaryTool = ranger.tools[0] || 'no tools';
      console.log(`Ranger ${ranger.name} uses ${primaryTool}`);
    }
    1. Test and Refactor: I test the updated functions to ensure compatibility with the new type definition.
    2. Document Changes: Like noting changes in my collection for future reference, documenting code changes is crucial for team awareness and future maintenance.

    Key Takeaways/Final Thoughts:

    • Anticipate Changes: When upgrading, expect breaking changes and plan how to address them.
    • Adapt and Test: Use intermediary solutions like adapters and thoroughly test your refactored code.
    • Documentation: Maintain clear documentation to aid team members and future modifications.
    • Iterative Approach: Tackle changes step-by-step to manage complexity and ensure stability in your codebase.