5 𝐂𝐨𝐦𝐦𝐨𝐧 𝐃𝐞𝐩𝐞𝐧𝐝𝐞𝐧𝐜𝐲 𝐈𝐧𝐣𝐞𝐜𝐭𝐢𝐨𝐧 𝐌𝐢𝐬𝐭𝐚𝐤𝐞𝐬 𝐢𝐧 .𝐍𝐄𝐓 (𝐀𝐧𝐝 𝐇𝐨𝐰 𝐭𝐨 𝐀𝐯𝐨𝐢𝐝 𝐓𝐡𝐞𝐦) DI in .NET is powerful, but missteps can cause headaches. Here are common mistakes, fixes, and examples to level up your DI game: ❌ Mistake 1: Overusing Service Locator ✅ Fix: Use constructor injection. ❌ Mistake 2: Registering Too Many Singletons ✅ Fix: Use appropriate lifetimes. ❌ Mistake 3: Injecting Too Many Dependencies ✅ Fix: Refactor responsibilities. ❌ Mistake 4: Ignoring Lifetimes ✅ Fix: Use factories for mismatched lifetimes. ❌ Mistake 5: Circular Dependencies ✅ Fix: Introduce a mediator or event-driven design. Use DI wisely for cleaner, testable, and scalable code. What’s a DI mistake you’ve fixed recently? Share below! 🚀
Managing Dependencies For Cleaner Code
Explore top LinkedIn content from expert professionals.
Summary
Managing dependencies for cleaner code involves organizing and controlling how different parts of a software system rely on each other to improve maintainability, reduce complexity, and prevent issues like unnecessary bloat or fragile connections.
- Use dependency injection: Replace hardcoded connections with dependency injection to allow better flexibility, testability, and scalability in your code.
- Refactor excessive dependencies: Break down large classes or systems into smaller, focused components to avoid too many connections within a single part of the codebase.
- Audit and streamline regularly: Periodically review and remove unnecessary or outdated dependencies to improve performance and reduce system size.
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Forget bugs. Fragile dependencies are the real system killers. One tiny change shouldn’t break ten other parts of your system. Yet it happens all the time. Not because of bad code, but because of "bad connections". Here’s how to stop the silent sabotage. 1. Follow the Law of Demeter: objects talk only to their friends, never strangers. 2. Push logic to the right place. Let each class own its responsibility. 3. Rely on interfaces + dependency injection instead of hardcoding dependencies. This isn’t theory. It’s the difference between code you fear touching and code that’s safe to evolve. 👉 Read the article here: https://lnkd.in/eMVd9cRJ Question for you: What’s the worst dependency chain you’ve ever had to untangle?
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How does one tackle dependency bloat in software development? I recently tackled a major challenge with LlamaBot's dependency bloat, and the results were eye-opening. In my latest blog post, I share how LlamaBot's dependencies ballooned to ~6GB, causing unnecessary bloat. By mapping out where each dependency was used, I managed to streamline the codebase significantly. I focused on the core components, SimpleBot and StructuredBot, and moved non-essential imports into try-except blocks. This approach reduced LlamaBot's container installation size from 6.75GB to just 390MB! The refactor taught me the importance of regular codebase maintenance and how less can truly be more. Now, LlamaBot's core is leaner and more efficient, doing exactly what it needs without the excess. Check out the full story and insights on my blog: https://lnkd.in/ey_2qjm9 . If you find it helpful, please like, comment, and share! How do you manage dependencies in your projects? #softwaredevelopment #dependencymanagement #llamabot #coding #techinsights