Habits That Improve Engineering Quality

This small & simple habit has saved me from messing up as a software engineer 100s of times at Amazon and Google. Back when I started, my default mode was: – Get the ticket. – Open the IDE. – “Code fast, fix later.” But here’s what I learned after a few production fires and some tough feedback in code reviews: Every time I jumped straight to coding: → I’d miss what the problem was really asking → I’d solve the wrong use case, or forget one crucial scenario → I’d write way more code than needed, only to delete half of it later So here’s the tiny habit that changed everything for me: Before writing a single line of code, I force myself to think. •⁠ ⁠I read the requirement again (even if it feels boring). •⁠ ⁠I write down the exact inputs and expected outputs. •⁠ ⁠I make a quick list of edge cases, what breaks, what’s unexpected, what’s tricky? •⁠ ⁠If it’s a bug, I ask: “What’s the root cause? Is there a simpler way?” •⁠ ⁠For features, I sketch the flow or the UI on sticky notes And only then, after my head is clear, after I know exactly what I’m building, do I touch the IDE. Now, my hour looks like this: → 30 minutes thinking, breaking down, poking holes in my plan → 20 minutes coding, since the path is obvious → 10 minutes testing, because I already know what might go wrong. Anyone can ship fast. But you become reliable when you build the right thing the first time. If you want to level up, don’t just focus on typing speed or fancy syntax. Focus on clarity before code. Slow down, think first, then build. It’s not about shipping the fastest. It’s about shipping right.

Underrated developer habits that quietly make you better: – Writing commit messages that actually explain what changed. Not “minor fix.” Not “final update.” Something your future self can understand. – Leaving TODOs with real context. Because 3 weeks later, “fix this” tells you nothing. – Naming stuff properly, even if it takes a few extra seconds. Yes, authHandler.js is better than temp3_finalV2.js. – Saying “I don’t know” without feeling like you don’t belong. Because asking saves hours of guessing. – Removing code you once proudly wrote. No ego. Just cleaner logic. – Googling less, but debugging better. You still search, but now you know what you’re looking for. – Writing code that’s easy to read, not just “clever.” Because clever breaks. Simple lasts. It won’t show up in your portfolio. But these are the habits that make your work actually… work.

The best engineers I’ve led all have one habit. It isn’t working longer hours. It isn’t having the highest IQ. It isn’t knowing every technical detail. They ask better questions. Instead of jumping straight to solutions, they first make sure they understand the problem. They ask: • Are we solving the right problem? • Which assumptions are driving this decision? • What evidence supports our conclusion? • Can we achieve the same outcome more simply? In Formula 1, solving the wrong problem quickly is still the wrong answer. Since the introduction of the cost cap, this way of thinking has become even more important. Every hour, every test and every design decision has a cost. Engineering efficiency is now a competitive advantage. I’ve found that the engineers who ask the best questions usually make the best decisions. Technical knowledge gets you into the room. Asking the right questions is what makes you valuable once you’re there.

► Solving 1,000 Leetcode problems won’t make you great.   ► Knowing every syntax trick won’t make you great.   ► Memorizing design patterns won’t make you great.  ►  Writing more code won’t make you a great engineer.  Thinking better will.  It’s how you approach problems that truly matters.  – Here’s an example of a bad approach   ○ Jumping straight into coding without fully understanding the problem   ○ Copy-paste solutions without questioning them   ○ Rewrite everything from scratch every time they get stuck   ○ Optimize too early (or not at all)   ○ Get stuck → Delete everything → Start over  – Great engineers, on the other hand:   ○ Ask the right questions ○ Gather requirements and clarify edge cases ○ Break problems into smaller, manageable steps   ○ Debug logically instead of tweaking things randomly   ○ Learn from failures and iterate effectively   ○ Prioritize clarity, maintainability, and efficiency   ○ Refactor smartly before optimizing  At the end of the day, it’s not about how much code you write, it’s about how well you think.  What’s one habit that’s made you a better engineer? 🚀

10 patterns I’ve noticed in engineers who grow, stand out and raise the bar:   They think before they speak → and when they do, it moves the conversation forward. They come prepared → ready to contribute, answer, and clarify. They read the codebase deeply → and leave it better than they found it. They stretch themselves → seeking complexity instead of staying comfortable. They document decisions → not just code → so others can trace the ‘why’ later. They offer feedback respectfully → and welcome it just as openly. They notice edge cases others miss → and quietly plug the gaps. They don’t chase credit → they chase clarity, quality, and impact. They mentor without making it a big deal → answering questions generously. They stay curious → reading PRs, RFCs, and design docs even when it’s not “their project.” -- What would you add?

Great engineers stand out through behaviors, not just technical skills. Top performers prevent problems by deeply understanding requirements before coding. This saves weeks of rework that comes from rushing. Career growth depends more on communication than knowing frameworks. Engineers who explain complex ideas simply and write clear documentation get promoted faster. Leaders notice consistent output, not short bursts of productivity. Working steadily for months impresses more than working intensely for a week. Elite engineers know when not to code. They find simpler solutions that need less maintenance and create fewer problems long-term. The biggest success factor - Making everyone around you better. Engineers who help their whole team improve always advance faster than those who work alone, no matter how brilliant.

Leveraging the Pareto Principle to Optimize Quality Outcomes: 1. Identifying Core Issues: Conduct a thorough analysis of defect trends and recurring quality challenges. Prioritize the 20% of issues that account for 80% of quality failures, focusing efforts on resolving the most impactful problems. 2. Root Cause Analysis: Go beyond mere symptomatic observation and delve deeper into underlying causes using advanced tools such as the "Five Whys" and Fishbone Diagrams. Target the critical few root causes rather than dispersing resources on peripheral issues, ensuring a concentrated approach to problem resolution. 3. Process Optimization: Streamline operational workflows by pinpointing and addressing the most significant process inefficiencies. Apply Lean and Six Sigma methodologies to systematically eliminate waste and optimize processes, ensuring a more effective production cycle. 4. Supplier Performance Management: Identify the 20% of suppliers responsible for the majority of defects and operational disruptions. Enhance supplier oversight through rigorous audits, stricter compliance checks, and fostering closer collaboration to elevate overall product quality. 5. Targeted Training & Development: Tailor training programs to address the most prevalent quality challenges faced by frontline workers and engineers. Ensure that skill development efforts are focused on equipping teams to handle the most critical aspects of quality control, thus driving tangible improvements. 6. Robust Monitoring & Control Mechanisms: Utilize real-time data dashboards to closely monitor key performance indicators (KPIs) that have the highest impact on quality. Implement automated alert systems to detect and address critical deviations promptly, reducing response time and maintaining high standards of quality. 7. Commitment to Continuous Improvement: Cultivate a Kaizen mindset within the organization, where small, incremental improvements, focused on key areas, result in significant long-term gains. Leverage the Plan-Do-Check-Act (PDCA) cycle to facilitate ongoing, iterative process enhancements, driving continuous refinement of operations. 8. Integration of Customer Feedback: Systematically analyze customer feedback and complaints to identify recurring issues that significantly affect satisfaction. Prioritize improvements that directly address the most frequent customer concerns, ensuring that product enhancements align with consumer expectations. Maximizing Results through Focused Effort: By concentrating efforts on the critical 20% of factors that drive 80% of outcomes, organizations can significantly improve efficiency, reduce defect rates, and elevate customer satisfaction. This targeted approach allows for the optimal allocation of resources, fostering sustainable improvements across the quality process. Reflection and Engagement: Have you successfully applied the Pareto Principle in your quality management systems?

Excellence is not a one-time performance. It is what we do repeatedly. In the switchgear world, nobody remembers one great day. They remember whether your equipment holds up under pressure. They remember whether you respond when systems go down. They remember whether your team cuts corners or checks them twice. Reputation is built in the small, daily disciplines. The habit of reviewing specs carefully. The habit of testing before anything leaves the floor. The habit of communicating clearly with clients. The habit of solving problems instead of pointing fingers. If you want a company known for quality, focus less on big announcements and more on daily standards. Train consistency. Protect your processes. Make accountability normal. Excellence is not luck. It is repetition done right. And in our industry, repetition done right keeps the lights on.

One of the most valuable habits any engineer can build early on is reading design docs—even those outside their immediate team. Design docs are often great sources of knowledge, capturing the insights, decisions, and thought processes of teams tackling real-world problems. The beauty of design docs is in their practicality. They aren’t just high-level diagrams; they’re detailed solutions crafted to be shipped to production. With input from engineers and reviews by tech leads, these docs capture the context, trade-offs, alternative designs, and potential pitfalls—essentially everything that shapes a solution. Reading design docs can feel overwhelming at first, especially if they cover unfamiliar domains or complex systems. But the more you engage with them, the more patterns you begin to recognize, and the better you become at understanding the structure and decisions behind the systems. If your company has a culture of documenting designs, take advantage of it by consistently reading them—even those from other teams. And if this isn’t yet a practice where you work, consider driving it forward. Developing the habit of reading and understanding design docs can significantly deepen technical expertise, making it a powerful habit for engineers aiming to grow.