Why should we even bother with refactoring? If you're asking yourself why we should be refactoring at all, perhaps it's worth answering what refactoring is. As code grows and evolves over time, there are inevitably things that come up we didn't plan for. As a result, we ned to go back and make adjustments to the code, generally without modifying how it behaves and only how it's structured. Learn about the art of refactoring and the benefits it can bring to your code! Check out the article: https://lnkd.in/gTrtqg9t #refactor #refactoring #programming
Refactoring Code: Benefits and Best Practices
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What you need to know before you jump into refactoring code... Before refactoring, I think it's important to understand what it means. Generally: to change code to drive improvements without changing the external behavior. I say generally because there are always exceptions. With this in mind, understand what the goal of your refactoring is. Next, come up with a plan that allows you to accomplish this. Find a way to incrementally deliver if it's a big refactor that's required. Check out the article: https://lnkd.in/gzj-wWDW #refactor #refactoring #programming
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#Day43:- Many real-world systems follow dependencies — you can't build the roof before the walls. This Course Schedule problem perfectly models such scenarios using Topological Sorting to check whether all tasks can be completed without circular dependencies. 💡#DSA #programming #GeeksforGeeks
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A simple habit that improves your engineering instantly: Name things better. Variables. Functions. Files. If the name is clear, you don’t need extra comments. Bad naming creates confusion. Good naming creates clarity. Code should read like a story, not a puzzle. Because at the end of the day, your code is read more than it is written. #SoftwareEngineering #CleanCode #Programming #BackendDevelopment #DevLife
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A “small bug” in backend can become a “big problem” in production. That’s why attention to detail matters. #BackendDevelopment #DotNetDeveloper #SoftwareDev #Programming #TechLife
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Many developers jump straight into writing code without fully understanding the problem. This often leads to: • Confusion • Bugs • Wasted time Instead: • Read the problem carefully • Break it into smaller parts • Plan your approach 💡 Good code starts with clear thinking. Spending 10 minutes understanding the problem can save you hours of debugging. Think first. Code later. What’s your approach? 👇 Plan first or code first? #WebDevelopment #Programming #ProblemSolving #DeveloperTips #FrontendDeveloper #CodingJourney #ThinkBeforeYouCode #BuildInPublic
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Day 10 Debugging made me a better developer. Not coding. Because debugging teaches: 👉 How your code actually works Tip: Stop guessing. Start tracing. Breakpoints are your best friend. #debugging #programming
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A reality check for developers: Your code is not your product... It’s easy to get attached to: Your architecture Your patterns Your “clean” implementation But users don’t see any of that. They see: Speed Reliability Experience You can have beautiful code… and still have a product that cannot be used. Focus on what people actually use. That’s where real impact is. #SoftwareEngineering #ProductThinking #Programming #BackendDevelopment #BuildInPublic
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✨ Clean Code Check Before committing, ask yourself: • Does this function do one thing? • Are names clear and meaningful? • Would I understand this in 6 months? • Is there duplication I can remove? • Are edge cases handled? Code is read more than it's written. Write for humans. What's your clean code rule? #CleanCode #CodeQuality #SoftwareEngineering #FullStackDeveloper #Programming #BestPractices
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Structuring your agent development process effectively is key. By consolidating tools, abilities, and other components into a single class, you create a unified agent. This approach decouples the agent's core logic from its execution environment, allowing for cleaner integration and easier management of its moving parts. Full video: https://lnkd.in/ddtbDYEf #SoftwareEngineering #AgentDevelopment #CodeArchitecture #Programming
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Spent time today revisiting core problem-solving fundamentals. Covered arrays, time complexity and solved problems like Two Sum and Best Time to Buy and Sell Stock. What stood out: - Brute force is easy to think, but inefficient - Optimization comes from changing the way you think, not hurst coding faster - Patterns like hashing and tracking minimum values simplify problems a lot Still early in the journey, but consistency is the focus #software #softwaredevelopment #dsa #programming #learninginpublic
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