Mohammad Shalabiya’s Post

While time constraints are often unavoidable in software development, it's essential to balance speed with quality. Effective project management, clear communication, and prioritising essential features can help ensure that code remains as clean and maintainable as possible, even under pressure. #SoftwareDevelopment #Coding #TimeManagement #TechDebt #CodeQuality #SoftwareEngineering #DeveloperLife #Productivity #ProgrammingTips #ProjectDeadlines

The Importance of Unit Testing in Applications Unit testing is often underestimated in the software development process, but it plays a crucial role in ensuring that applications function correctly. Here are some reasons why unit tests should be a priority in any project: 1️⃣ Confidence in changes: As code evolves, it's inevitable to make adjustments, add new features, or fix bugs. Unit tests provide a layer of security, helping ensure that these changes don’t break existing functionality. When you know your code is covered by robust tests, you can work with more confidence, making changes without the fear of compromising the system. 2️⃣ Easier refactoring: Refactoring is the process of improving the internal structure of the code without changing its external behavior. This is essential for keeping the codebase clean and scalable over time. However, without unit tests, refactoring can be risky, as unexpected errors may arise. With good test coverage, you can reorganize and optimize your code, knowing that the tests will alert you to any functionality breakage. 3️⃣ Sustainable system evolution: In applications that are constantly evolving, it's common to add new features regularly. Without unit tests, each new feature can introduce hidden bugs that may only be discovered much later. Unit tests help identify these problems as they occur, maintaining the system's stability over time. 4️⃣ Living documentation of the system's behavior: Unit tests, in addition to validating the correct functioning of the code, serve as a form of documentation. They clearly show how each part of the system should behave, making it easier for new developers to understand the project. Unlike traditional documentation, which can become outdated, tests are constantly updated alongside the code. 5️⃣ Long-term cost reduction: One of the biggest benefits of unit tests is saving time and money. Bugs found in production are more expensive to fix, both in terms of time and impact on the end user. By identifying and fixing issues earlier, during the development phase, the overall project cost decreases significantly, avoiding costly rework and loss of user trust. Investing in unit testing isn’t just a best practice, it's a smart strategy to ensure the long-term quality, stability, and healthy evolution of any application. If you're not implementing them yet, it might be time to start! 😉 #SoftwareQuality #UnitTesting #SoftwareDevelopment #Stability #BestPractices #ProjectManagement #Refactoring

Did you know? The cost of fixing bugs increases exponentially the later they're found in the development process. Here's how it adds up: 👉 During development: Fixing a bug is quick—developers are already in the code. 👉 In staging: Costs can increase up to 6x due to rework, re-testing, and sometimes rewriting related code. 👉 In production: Fixing a bug can cost 4-5x more than staging, and 30 times more than catching it early. For example, fixing a bug in the planning stage could cost $100 if caught early. But by the time it reaches production, that same bug can escalate to a $10,000 problem—because bugs at later stages can have ripple effects that impact multiple systems, require more coordination across teams, and delay releases. Why does this happen? ✅ Context Switching: Developers must reorient themselves to old code after moving on to new tasks, wasting time. ✅ Cascading Issues: A bug in one part of the system can affect other areas, making the fix more complex and costly. ✅ Increased Coordination: Late-stage bugs often require collaboration between multiple teams, delaying timelines and further complicating fixes. What's the solution? ✅ Test earlier in the development cycle, ideally in parallel with the development process, when code changes are fresh. ✅ Catch issues before they spread and create costly dependencies across the system. ✅ Minimize disruptions to the development flow, allowing teams to focus on building, not fixing And thats where tools like Quash help you catch issues early, seamlessly integrating testing right at the PR stage, making it easier to avoid expensive fixes later on. Early testing doesn't just save time and money—it leads to cleaner, more reliable software and happier teams. #SoftwareDevelopment #BugFixing #TestingMatters #ShiftLeft #DeveloperProductivity

I tested this "bug resolution method" for 6 months 👇 (𝗔𝗻𝗱 𝗻𝗼𝘄 𝗜’𝗺 𝘀𝗵𝗮𝗿𝗶𝗻𝗴 𝗶𝘁 𝘄𝗶𝘁𝗵 𝘆𝗼𝘂) No matter what stage of development you're at, common development mistakes can easily be made.🌟 But here’s what most developers get wrong: 👉 Skipping Detailed Requirements Gathering Jumping into code too fast without fully understanding the problem leads to missed edge cases and costly rework. 👉 Poor Documentation Practices Without clear documentation, handovers or future maintenance become a nightmare. Your code should speak, but documentation is your translator. 👉 Not Prioritizing Testing Early Leaving testing for the end of the development process? Bugs caught late can become expensive in both time and resources. 👉 Ignoring Technical Debt Pushing off refactoring can slow your team down long-term. The more you accumulate, the harder it is to innovate and scale your product. So, how do we fix this? ✔️ We implemented a "𝗖𝗼𝗱𝗲 𝗥𝗲𝘃𝗶𝗲𝘄 𝗦𝘆𝘀𝘁𝗲𝗺" where developers review code in small increments during development, focusing on edge cases and documentation quality. ✔️ We adopted test-driven development (TDD) and automated tests early in the process to minimize late-stage bugs. ✔️ For technical debt, we built a priority backlog to systematically address and reduce the debt before starting new features. 🎯The result? We reduced post-release bugs by 35%, cut down code refactoring time by 40%, and improved developer handovers by 50%. Our team moved faster, with fewer bottlenecks and smoother releases. 🔑 𝗧𝗮𝗸𝗲𝗮𝘄𝗮𝘆: Prioritize documentation, early testing, and progressive reviews to catch issues early and avoid tech debt piling up. Want to dive deeper into the process? 1. 📩 Like + Drop a “Solution” in the comments below 2. Repost for instant access to the full guide ♻️ 3. To receive the guide, please make sure you are connected to me Was this helpful? Drop your thoughts or questions below👇 And don’t forget to follow me for more insights into optimizing your software development process!

😱 The scary numbers no Software company wants to talk about: We can not estimate projects for more than 2 months without big risk. From every month, if you don't include QA or your budget is not enough for QA, then add 1 week from every month worked. On the bug fixing phase, you will probably start to realize missing features, Some of the missing features will refactor the code, that we had already tested, making more unstable the application Add one more 1 week for that. That's the difference we can develop a new app for 5.000$, and we can develop the same app for 10.000$ The difference? Your time line and details More QA, more Tech Lead, more Project management. cut your development timeline by 50%. Because no, if you just get a developer and start spilling out features, you won't get to the result you want at once - Unless you have really clear what you want, which is never 100% the case.

🧠 Why Reading Code Should Be Prioritized Over Writing It 📖 "We are what we are because of what we read, not what we write." — Jorge Luis Borges This powerful thought by Borges applies directly to software development. We read code far more often than we write it. Yet, we frequently neglect this reality by prioritizing rapid implementation over clarity and maintainability. One major issue I see in projects is the disconnect between written specs and the implemented code. Specs are often written one way, and the code gets implemented in a different style. This mismatch creates a recipe for trouble — bugs, miscommunication, and even disaster. To solve this, we need to change the way we think about specs and code: * Align specs and code: Write code that can be mapped line-by-line to the specs. Use clear code comments to indicate which part of the spec each code block implements. * Collaborative refinement: Specs and code should be evolved together, not separately. Think about the time and money wasted on code reviews, conflict resolution, and patching misaligned documentation. All of these are avoidable costs, yet many teams treat documentation as an afterthought, just like tests often are. In an ideal SDLC, implementation should take no more than 1/3 of the total time: 📄 1/3 for documentation: Specs should be robust and tied directly to the code. 🛠️ 1/3 for tests: Writing tests ensures the code meets its specifications. 🧑💻 1/3 for actual implementation: Clear specs and tests make this part faster. Deviating from this balance leads to avoidable roadblocks that slow projects down in the long run. #SoftwareDevelopment #CodeQuality #SDLC #Documentation #Testing #BorgesWisdom

Have you ever used the 'Code and Fix' method in your software projects? 🧑💻 While this approach may be suitable for quick delivery, have you considered the scalability and maintenance of your software? Comprehensive strategies and modern methodologies like Agile and Waterfall can help prevent future problems. Let's briefly discuss the concept of 'Code and Fix': The 'Code and Fix' method is a simple approach to software development involving two main stages: coding and then fixing the issues that arise during the development process. Typically, this method does not involve detailed planning or design. The development team writes code first and then addresses any problems that come up. Issues may even be resolved during the coding process. As a software engineer, you might need to make sudden changes to the code based on client or user requests during programming. Using the 'Code and Fix' method can lead to significant time spent resolving issues due to unexpected changes from clients or unforeseen problems, which can impact project costs and delivery timelines. This method is generally suitable for small projects or rapid prototyping but can lead to maintenance problems, poor code quality, and scalability issues in larger projects. Fahim Soltani #SoftwareEngineering #Programming #ProjectManagement #CodeAndFix

Start with Simple in Your Project I remember, while working on one of my projects, I jumped straight into coding for the final outcome since the flow was clear and all resources were available. However, this approach led to a lot of problems. Everything was so interconnected that it became difficult to pinpoint where issues were occurring. Debugging turned into a nightmare and caused unnecessary stress. If you are also someone like me then read the post till the end. My supervisor then suggested a simple yet powerful approach: start simple. If your project has multiple parts, work on each part one by one. Test each feature individually to ensure it works as expected before integrating it with the rest. And don't forget to add test cases for future maintenance! For complex parts, begin with a simpler version first. Once you have that working, gradually build it up to the final version. This advice may seem obvious, but it’s easy to forget and incredibly important for any project. Remember: Start small, build gradually, and test frequently. It makes a huge difference! Share your project experiences in the comments! I would love to hear from you. Like and Share if you found this helpful. Follow me here - Shivani Khandelwal #ProjectManagement #CodingTips #Debugging #SoftwareDevelopment

Why we need Code Owners Reviews: Ensuring quality and accountability in development In today's fast-paced software development environment, maintaining high code quality and accountability is more critical than ever. Here’s why Code Owners Reviews are essential: 1. Expert insight 🧑💻: Code owners bring expertise on specific components, ensuring changes align with best practices. 2. Increased accountability ✅: Assigning ownership fosters responsibility, creating a culture of pride in our work. 3. Enhanced collaboration 🤝: These reviews promote communication among team members, breaking down silos and enhancing cohesion. 4. Early detection of issues ⚠️: Code owners help identify potential problems early, reducing costly fixes later on. 5. Consistency and standards 📏: They ensure adherence to coding standards, which is vital for long-term maintainability. By integrating Code Owners Reviews into our workflow, we improve code quality and build a stronger, more accountable team. Let’s prioritize these reviews to drive success in our projects! #SoftwareDevelopment #CodeQuality #TeamCollaboration #CodeOwnership

In the fast-paced world of software development, a well-crafted Test Plan isn’t just a nice-to-have; it’s essential for delivering high-quality products. Here are the key components that every effective Test Plan should cover at-least: Objectives and Scope: Clearly define what you’re testing and the goals behind it. Are we focusing on performance, security, or functionality? Test Strategy: Outline the testing methods (manual/automated, black/white box) to be used. This helps align the team on the approach. Resources and Responsibilities: Identify team members and their roles. This prevents confusion and promotes accountability. Test Environment Setup: Specify the hardware and software environments needed for testing. A well-prepared environment saves time later. Test Cases: Detail the test scenarios that will be executed. Think of this as your roadmap to success! Risk Assessment: Identify potential risks and mitigation strategies. This proactive step can save us from major setbacks. Schedule and Milestones: Set timelines for each phase of testing. Time management is key to staying on track. By investing time in a comprehensive Test Plan, we set ourselves up for success, ensuring our products not only meet but exceed user expectations. If you want to learn more about the other components of a test plan feel free to ask as these are just for higher priority... #TestPlanning #SoftwareQuality #QualityAssurance #Testing #Agile #DevOps #Leadership #TechInnovation #SoftwareTesting #ProjectManagement