The Long Game: Why Software Engineers Shouldn't Sacrifice Tomorrow's Success for Today's Comfort As software engineers, we're often tempted to take shortcuts or opt for quick fixes to address immediate challenges, but we should think about how our choices now affect our future success. The Cost of Instant Gratification - Choosing immediate comfort over long-term goals can hinder our growth and development. For example, procrastinating on learning new technologies or avoiding challenging projects may provide temporary relief, but it can limit our professional growth and opportunities in the long run. Embracing Discomfort for Growth - On the other hand, embracing discomfort and taking on challenges can lead to significant personal and professional growth. By stepping out of our comfort zones, we expand our skills, knowledge, and capabilities, positioning ourselves for greater success in the future. Investing in Continuous Learning - Software engineering is a rapidly evolving field, and staying stagnant is not an option. By investing in continuous learning and skill development, we future-proof our careers and ensure that we remain competitive in the ever-changing tech landscape. Building Resilience - Facing challenges and setbacks is inevitable, but how we respond to them can make all the difference. By developing resilience and perseverance, we can navigate obstacles with confidence and come out stronger on the other side. Avoiding Regrets - When we prioritize short-term gains over long-term growth, we can only look back with regret and cannot bring back the time invested. Don't trade future potential for temporary comfort! #DelayedGratification #SoftwareEngineeringSuccess #LongTermGoals #CareerDevelopment #PersonalGrowth #StayFocused #ProfessionalDevelopment #SoftwareEngineersJourney #SoftwareEngineer #Java #Python #AI #Google #Amazon #Microsoft
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What makes a great software engineer Insights from Microsoft Research How can a normal human become a great software engineer? This is an interesting question isnt it? Research by Microsoft and the Information School, University of Washington lists 18 personality traits, 9 decision-making attributes, 18 team-mate interaction attributes, 10 engineer's code attributes that define a great software engineer. I feel these 18 personality attributes can ideally be developed at the school/college level. I have listed 5 interesting attributes on this link https://lnkd.in/eQpSqWwk
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🌟 Being a software engineer isn’t about knowing everything! 🌟 It’s not about having all the answers related to your tech stack right away, it’s about knowing where to find them and how to learn quickly. Even the most experienced engineers Google things daily. So, why should we feel ashamed of doing the same? 🤔 In fact, our strength as engineers comes from the ability to adapt, find solutions, and continuously learn new tools and technologies. Remember: It’s not about knowing it all; it’s about being ready to learn it all! 💡🚀 #SoftwareEngineering #ContinuousLearning #ProblemSolving #GrowthMindset #TechLife #GoogleIt
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What makes a great software engineer? Microsoft tackled this question in a recent publication, identifying core competencies that distinguish great engineers and grouping them into categories that might surprise you: Personality, Decision-Making, Team Collaboration, and Code. As someone passionate about creating high-performing teams, these findings resonate with my career experiences. Delving deeper, the article describes a great engineer as a competent coder with a deep sense of craftsmanship, open-mindedness, and curiosity when constructing solutions. They collaborate with their team on ideation but are self-reliant in implementation. They have a strong sense of the product and can anticipate future modifications while being realistic about immediate implementation. They are data-driven, ask questions, and gather information to inform their opinions and shape their solutions. They naturally help other engineers through collaboration by being attentive, engaged, and building trust. There are some real gems in here, and I recommend reading the paper: https://lnkd.in/ePHqGbAe
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💡Insights from Microsoft 💡: Five key attributes that distinguish exceptional software engineers 1. Writing Good Code: The ability to produce high-quality, maintainable code. 2. Adjusting Behaviors for Future Value: Considering long-term implications and costs in their work. 3. Practicing Informed Decision-Making: Making choices based on evidence and thoughtful analysis. 4. Avoiding Making Others’ Jobs Harder: Collaborating effectively and considering the impact of their work on colleagues. 5. Learning Continuously: Committing to ongoing education and improvement. https://lnkd.in/dKhUBcs9
What distinguishes great software engineers?
faculty.washington.edu
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Turning Errors Into Excellence: A Day in the Life of a Software Engineer As a software engineer, every day brings its own set of puzzles to solve, bugs to squash, and systems to optimize. Some might see error messages as obstacles, but we know they’re just clues leading us closer to a solution. Imagine this: you're knee-deep in debugging, and suddenly it feels less like fixing code and more like solving a murder mystery—except the culprit is an extra semicolon or a missing return statement. But when the test finally turns green or the deployment goes smoothly, there’s no better feeling in the world. Why We Do What We Do: ✅ We solve problems to make life easier for users worldwide. ✅ We turn complex algorithms into delightful experiences. ✅ And yes, we learn to appreciate coffee for its bug-fixing superpowers. Today, I’m inspired by the incredible work being done at companies like Google to shape the future of technology. Their commitment to innovation and pushing boundaries reminds me why I fell in love with this field. My goal? To grow as an engineer and one day contribute to impactful projects at global tech leaders like Google. Until then, I’ll keep embracing the grind, learning every day, and chasing that dream. To everyone out there debugging, coding, or just getting started in tech: Keep going. Every problem solved is a step closer to your goals. #SoftwareEngineering #TechLife #DreamBig #Google
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Your 10 golden rules of software engineering are a great reminder of the fundamentals that drive our industry. Each rule emphasizes the importance of simplicity, clarity, teamwork, and continuous learning. Thank you for sharing these timeless principles.
SDE & AI @Amazon | Building Hungry Minds to 1M+ | Daily Posts on Software Engineering, System Design, and AI ⚡
I am completing 3 years at Amazon. 10 golden rules of software engineering: 𝟎. 𝐊𝐞𝐞𝐩 𝐢𝐭 𝐬𝐢𝐦𝐩𝐥𝐞: Don't overcomplicate. Simple solutions are easier to understand, maintain, and evolve. KISS. 𝟏. 𝐖𝐫𝐢𝐭𝐞 𝐜𝐥𝐞𝐚𝐫 𝐜𝐨𝐝𝐞: Nothing beats a clear code structure. Write code for humans first. 𝟐. 𝐓𝐞𝐬𝐭𝐬 𝐚𝐫𝐞𝐧'𝐭 𝐨𝐩𝐭𝐢𝐨𝐧𝐚𝐥: Automated tests are a force multiplier. Build robust test suites from day one. 𝟑. 𝐃𝐞𝐬𝐢𝐠𝐧 𝐟𝐨𝐫 𝐟𝐥𝐞𝐱𝐢𝐛𝐢𝐥𝐢𝐭𝐲: Make code flexible for future changes. Loose connections are good. 𝟒. 𝐍𝐞𝐯𝐞𝐫 𝐬𝐭𝐨𝐩 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠: Old or new concepts. Stay hungry. Experiment with new languages, frameworks, and techniques. 𝟓. 𝐖𝐨𝐫𝐤 𝐚𝐬 𝐚 𝐭𝐞𝐚𝐦: Succeed or fail together. Share knowledge, give, and receive feedback. Alone you go faster, together you go further. 𝟔. 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐞 𝐨𝐧𝐥𝐲 𝐰𝐡𝐞𝐧 𝐧𝐞𝐞𝐝𝐞𝐝: Don't over-engineer everything. Make it work, make it right, make it fast. In that order. 𝟕. 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐬𝐜𝐚𝐥𝐞𝐬: Build tools to avoid repetitive work. Snippets, scripts, apps. Whatever saves time in a common process can yield a lot. 𝟖. 𝐖𝐡𝐞𝐧 𝐭𝐨 𝐬𝐭𝐚𝐫𝐭 𝐜𝐨𝐝𝐢𝐧𝐠: Gather clear requirements before writing a single line of code. Unclear requirements = unclear code. 𝟗. 𝐖𝐨𝐫𝐤 𝐡𝐚𝐫𝐝, 𝐡𝐚𝐯𝐞 𝐟𝐮𝐧, 𝐦𝐚𝐤𝐞 𝐡𝐢𝐬𝐭𝐨𝐫𝐲: Software is an art. Take pride in your work, and look for solving stimulating problems, but don't forget to have fun. 𝐁𝐨𝐧𝐮𝐬: 𝐃𝐞𝐥𝐞𝐭𝐞 𝐭𝐡𝐚𝐭 𝐜𝐨𝐝𝐞. If it's not used or maintainable, delete it. More code != better code. What did I miss? #softwareengineering #coding #programming _____ I share the latest deep dives, trends and tools to 9,001+ software engineers here: https://lnkd.in/dUbdTgEg
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🚀 Just wrapped up reading *Software Engineering at Google*, and I’m feeling incredibly inspired! 📚 This is not my regular reading topic, this is not at all technical. This is more about software engineering teams, how to ensure a good workflow, communication, learning, which is why I gave it a shot. This book has deepened my understanding of the principles, practices, and culture that drive software excellence at scale, enticing us to build better work environments so that in turn we will better systems. Excited to apply these learnings in my work and continue growing as a software engineer. Here’s to building better, more resilient teams and systems! 💻 #SoftwareEngineering #Google #ContinuousLearning #TechGrowth
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10 golden rules of software engineering...
SDE & AI @Amazon | Building Hungry Minds to 1M+ | Daily Posts on Software Engineering, System Design, and AI ⚡
I am completing 3 years at Amazon. 10 golden rules of software engineering: 𝟎. 𝐊𝐞𝐞𝐩 𝐢𝐭 𝐬𝐢𝐦𝐩𝐥𝐞: Don't overcomplicate. Simple solutions are easier to understand, maintain, and evolve. KISS. 𝟏. 𝐖𝐫𝐢𝐭𝐞 𝐜𝐥𝐞𝐚𝐫 𝐜𝐨𝐝𝐞: Nothing beats a clear code structure. Write code for humans first. 𝟐. 𝐓𝐞𝐬𝐭𝐬 𝐚𝐫𝐞𝐧'𝐭 𝐨𝐩𝐭𝐢𝐨𝐧𝐚𝐥: Automated tests are a force multiplier. Build robust test suites from day one. 𝟑. 𝐃𝐞𝐬𝐢𝐠𝐧 𝐟𝐨𝐫 𝐟𝐥𝐞𝐱𝐢𝐛𝐢𝐥𝐢𝐭𝐲: Make code flexible for future changes. Loose connections are good. 𝟒. 𝐍𝐞𝐯𝐞𝐫 𝐬𝐭𝐨𝐩 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠: Old or new concepts. Stay hungry. Experiment with new languages, frameworks, and techniques. 𝟓. 𝐖𝐨𝐫𝐤 𝐚𝐬 𝐚 𝐭𝐞𝐚𝐦: Succeed or fail together. Share knowledge, give, and receive feedback. Alone you go faster, together you go further. 𝟔. 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐞 𝐨𝐧𝐥𝐲 𝐰𝐡𝐞𝐧 𝐧𝐞𝐞𝐝𝐞𝐝: Don't over-engineer everything. Make it work, make it right, make it fast. In that order. 𝟕. 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐬𝐜𝐚𝐥𝐞𝐬: Build tools to avoid repetitive work. Snippets, scripts, apps. Whatever saves time in a common process can yield a lot. 𝟖. 𝐖𝐡𝐞𝐧 𝐭𝐨 𝐬𝐭𝐚𝐫𝐭 𝐜𝐨𝐝𝐢𝐧𝐠: Gather clear requirements before writing a single line of code. Unclear requirements = unclear code. 𝟗. 𝐖𝐨𝐫𝐤 𝐡𝐚𝐫𝐝, 𝐡𝐚𝐯𝐞 𝐟𝐮𝐧, 𝐦𝐚𝐤𝐞 𝐡𝐢𝐬𝐭𝐨𝐫𝐲: Software is an art. Take pride in your work, and look for solving stimulating problems, but don't forget to have fun. 𝐁𝐨𝐧𝐮𝐬: 𝐃𝐞𝐥𝐞𝐭𝐞 𝐭𝐡𝐚𝐭 𝐜𝐨𝐝𝐞. If it's not used or maintainable, delete it. More code != better code. What did I miss? #softwareengineering #coding #programming _____ I share the latest deep dives, trends and tools to 9,001+ software engineers here: https://lnkd.in/dUbdTgEg
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The Dunning-Kruger effect is a cognitive bias in which people with low ability, knowledge, or expertise in a particular area overestimate their own competence. This phenomenon occurs because their lack of skill also prevents them from recognizing their own shortcomings. Basically their ignorance means they don’t know that they don’t know:) This is paramount in software engineers. The cheaper the service the higher the risk. Countless times I got involved in projects to put out fires, and a very common underlying issue was that the codebase was outsourced off shore, and you get bad code off shore, pure and simple. It’s a shame that software engineering is not regulated like law or medicine. I never hire anyone if they don’t meet at least some requirements : 1 - a university degree in computer science. Must have. No bootcamps. 2- live and work in the US, and speak American English. 3- experience in Fortune 500. Leaders who try to look for “cost effective” software development will end up with catastrophic results, sometimes business ending. #software #Tech #programmers
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I am completing 3 years at Amazon. 10 golden rules of software engineering: 𝟎. 𝐊𝐞𝐞𝐩 𝐢𝐭 𝐬𝐢𝐦𝐩𝐥𝐞: Don't overcomplicate. Simple solutions are easier to understand, maintain, and evolve. KISS. 𝟏. 𝐖𝐫𝐢𝐭𝐞 𝐜𝐥𝐞𝐚𝐫 𝐜𝐨𝐝𝐞: Nothing beats a clear code structure. Write code for humans first. 𝟐. 𝐓𝐞𝐬𝐭𝐬 𝐚𝐫𝐞𝐧'𝐭 𝐨𝐩𝐭𝐢𝐨𝐧𝐚𝐥: Automated tests are a force multiplier. Build robust test suites from day one. 𝟑. 𝐃𝐞𝐬𝐢𝐠𝐧 𝐟𝐨𝐫 𝐟𝐥𝐞𝐱𝐢𝐛𝐢𝐥𝐢𝐭𝐲: Make code flexible for future changes. Loose connections are good. 𝟒. 𝐍𝐞𝐯𝐞𝐫 𝐬𝐭𝐨𝐩 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠: Old or new concepts. Stay hungry. Experiment with new languages, frameworks, and techniques. 𝟓. 𝐖𝐨𝐫𝐤 𝐚𝐬 𝐚 𝐭𝐞𝐚𝐦: Succeed or fail together. Share knowledge, give, and receive feedback. Alone you go faster, together you go further. 𝟔. 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐞 𝐨𝐧𝐥𝐲 𝐰𝐡𝐞𝐧 𝐧𝐞𝐞𝐝𝐞𝐝: Don't over-engineer everything. Make it work, make it right, make it fast. In that order. 𝟕. 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐬𝐜𝐚𝐥𝐞𝐬: Build tools to avoid repetitive work. Snippets, scripts, apps. Whatever saves time in a common process can yield a lot. 𝟖. 𝐖𝐡𝐞𝐧 𝐭𝐨 𝐬𝐭𝐚𝐫𝐭 𝐜𝐨𝐝𝐢𝐧𝐠: Gather clear requirements before writing a single line of code. Unclear requirements = unclear code. 𝟗. 𝐖𝐨𝐫𝐤 𝐡𝐚𝐫𝐝, 𝐡𝐚𝐯𝐞 𝐟𝐮𝐧, 𝐦𝐚𝐤𝐞 𝐡𝐢𝐬𝐭𝐨𝐫𝐲: Software is an art. Take pride in your work, and look for solving stimulating problems, but don't forget to have fun. 𝐁𝐨𝐧𝐮𝐬: 𝐃𝐞𝐥𝐞𝐭𝐞 𝐭𝐡𝐚𝐭 𝐜𝐨𝐝𝐞. If it's not used or maintainable, delete it. More code != better code. What did I miss? #softwareengineering #coding #programming _____ I share the latest deep dives, trends and tools to 9,001+ software engineers here: https://lnkd.in/dUbdTgEg
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