Michael Ratnikov's Linkedin Analytics

𝟓 𝐬𝐢𝐠𝐧𝐬 𝐲𝐨𝐮'𝐫𝐞 𝐨𝐯𝐞𝐫𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐲𝐨𝐮𝐫 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧. We've all been there. You start with a simple requirement, then spend weeks building the "perfect" solution that handles every possible edge case. Here are the warning signs: 𝟏. 𝐘𝐨𝐮'𝐫𝐞 𝐛𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐚𝐛𝐬𝐭𝐫𝐚𝐜𝐭𝐢𝐨𝐧𝐬 𝐟𝐨𝐫 𝟐 𝐮𝐬𝐞 𝐜𝐚𝐬𝐞𝐬 - If you don't have at least 3 real examples, you're probably solving imaginary problems. 𝟐. 𝐘𝐨𝐮𝐫 𝐜𝐨𝐝𝐞 𝐡𝐚𝐬 𝐦𝐨𝐫𝐞 𝐜𝐨𝐧𝐟𝐢𝐠𝐮𝐫𝐚𝐭𝐢𝐨𝐧 𝐭𝐡𝐚𝐧 𝐥𝐨𝐠𝐢𝐜 - When the config file is longer than the actual implementation, something's wrong. 𝟑. 𝐘𝐨𝐮'𝐫𝐞 𝐮𝐬𝐢𝐧𝐠 𝟓 𝐝𝐞𝐬𝐢𝐠𝐧 𝐩𝐚𝐭𝐭𝐞𝐫𝐧𝐬 𝐟𝐨𝐫 𝐚 𝐂𝐑𝐔𝐃 𝐨𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧 - Sometimes a simple function is all you need. 𝟒. 𝐘𝐨𝐮'𝐫𝐞 𝐝𝐞𝐛𝐚𝐭𝐢𝐧𝐠 𝐟𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤 𝐜𝐡𝐨𝐢𝐜𝐞𝐬 𝐟𝐨𝐫 𝐚 𝟐-𝐰𝐞𝐞𝐤 𝐩𝐫𝐨𝐣𝐞𝐜𝐭 - The time spent evaluating could have solved the actual problem. 𝟓. 𝐘𝐨𝐮𝐫 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧 𝐡𝐚𝐧𝐝𝐥𝐞𝐬 𝐫𝐞𝐪𝐮𝐢𝐫𝐞𝐦𝐞𝐧𝐭𝐬 𝐭𝐡𝐚𝐭 𝐝𝐨𝐧'𝐭 𝐞𝐱𝐢𝐬𝐭 𝐲𝐞𝐭 - "We might need this in the future" is the enemy of shipping today. 𝐑𝐞𝐦𝐞𝐦𝐛𝐞𝐫: 𝐓𝐡𝐞 𝐛𝐞𝐬𝐭 𝐜𝐨𝐝𝐞 𝐢𝐬 𝐜𝐨𝐝𝐞 𝐭𝐡𝐚𝐭 𝐬𝐡𝐢𝐩𝐬. Perfect is the enemy of good, and good enough is often exactly what your users need right now. Your future self will thank you for solving today's problems today, not tomorrow's hypothetical ones. What's your biggest overengineering mistake? Share your story below! 👇 #softwarearchitecture #softwaredevelopment #problemsolving

𝐓𝐡𝐞 𝐊𝐈𝐒𝐒 𝐩𝐫𝐢𝐧𝐜𝐢𝐩𝐥𝐞 𝐢𝐬 𝟗𝟎% 𝐨𝐟 𝐠𝐨𝐨𝐝 𝐬𝐨𝐟𝐭𝐰𝐚𝐫𝐞 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞. Keep It Simple, Stupid isn't about dumbing things down - it's about building systems that work. Here's how KISS transforms software development: 🔸 𝐒𝐭𝐚𝐫𝐭 𝐰𝐢𝐭𝐡 𝐭𝐡𝐞 𝐨𝐛𝐯𝐢𝐨𝐮𝐬 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧 Don't architect for theoretical problems. Solve today's needs with tomorrow's maintainability in mind. That fancy microservices pattern? Maybe start with a well-structured monolith. 🔸 𝐂𝐨𝐦𝐩𝐥𝐞𝐱𝐢𝐭𝐲 𝐢𝐬 𝐚 𝐥𝐢𝐚𝐛𝐢𝐥𝐢𝐭𝐲 Every layer of abstraction you add is potential technical debt. Each design pattern can turn into a burden on future developers. Ask yourself: "Is this solving a real problem or feeding my ego?" 🔸 𝐒𝐢𝐦𝐩𝐥𝐞 𝐬𝐜𝐚𝐥𝐞𝐬 𝐛𝐞𝐭𝐭𝐞𝐫 When systems break - and they will - simple architectures are faster to debug, easier to fix, and cheaper to maintain. Complex systems fail in complex ways. 🔸 𝐓𝐞𝐚𝐦 𝐯𝐞𝐥𝐨𝐜𝐢𝐭𝐲 𝐝𝐞𝐩𝐞𝐧𝐝𝐬 𝐨𝐧 𝐜𝐥𝐚𝐫𝐢𝐭𝐲 New developers can contribute to simple codebases in days, not months. Simple designs mean faster onboarding and fewer mistakes. The truth? Simple doesn't mean simplistic. It means deliberate choices that prioritize clarity over cleverness. Share your favorite example of KISS in action! 👇 #softwarearchitecture #softwaredevelopment #problemsolving

𝐏𝐞𝐫𝐟𝐞𝐜𝐭 𝐜𝐨𝐝𝐞 𝐝𝐨𝐞𝐬𝐧'𝐭 𝐞𝐱𝐢𝐬𝐭. 𝐑𝐞𝐟𝐚𝐜𝐭𝐨𝐫𝐢𝐧𝐠 𝐢𝐬 𝐚 𝐧𝐨𝐫𝐦. After building three startups from scratch and seeing countless codebases evolve, I've learned something crucial: You cannot architect a perfect domain model from day one. Here's what I've learned: 🔸 𝐘𝐨𝐮𝐫 𝐟𝐢𝐫𝐬𝐭 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧 𝐰𝐚𝐬 𝐫𝐢𝐠𝐡𝐭 𝐟𝐨𝐫 𝐢𝐭𝐬 𝐭𝐢𝐦𝐞 - That "messy" code got your product to market and validated your business. Stop apologizing for pragmatic choices that served their purpose. 🔸 𝐃𝐨𝐦𝐚𝐢𝐧 𝐮𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝𝐢𝐧𝐠 𝐞𝐦𝐞𝐫𝐠𝐞𝐬 𝐠𝐫𝐚𝐝𝐮𝐚𝐥𝐥𝐲 - What started as a simple user management system now needs multi-tenancy, complex roles, and audit trails. Your architecture should grow with your understanding of the business. 🔸 𝐈𝐦𝐩𝐥𝐢𝐜𝐢𝐭 𝐜𝐨𝐧𝐜𝐞𝐩𝐭𝐬 𝐛𝐞𝐜𝐨𝐦𝐞 𝐞𝐱𝐩𝐥𝐢𝐜𝐢𝐭 𝐭𝐡𝐫𝐨𝐮𝐠𝐡 𝐫𝐞𝐟𝐚𝐜𝐭𝐨𝐫𝐢𝐧𝐠 - The most powerful improvements happen when you discover hidden domain concepts lurking in procedural code. Suddenly, everything clicks into place. 🔸 𝐂𝐨𝐧𝐭𝐢𝐧𝐮𝐨𝐮𝐬 𝐫𝐞𝐟𝐢𝐧𝐞𝐦𝐞𝐧𝐭 𝐩𝐫𝐞𝐯𝐞𝐧𝐭𝐬 𝐫𝐞𝐰𝐫𝐢𝐭𝐞𝐬 - Small, iterative improvements are cheaper than massive overhauls. Teams that normalize refactoring ship faster because they've learned to change code confidently. Your domain model is a learning tool, not a finished product. Stop treating architectural changes as failures. They're signs that you're learning and the business is growing. What domain concept did you discover through refactoring? Share below! 👇 #softwarearchitecture #softwaredevelopment #problemsolving