Design Patterns for Scaling Ad Accounts and Code

Stripe formatted 25 million lines of code overnight. Not by rewriting it. Just formatting it. That sounds simple, but it took years of work, a zero-config Rust formatter, and a careful rollout across one of the largest Ruby codebases in the world. Stripe eventually got to 100% of its 42 million lines of Ruby being formatted with rubyfmt. And honestly, that is the kind of engineering I really respect. Not flashy. Not loud. Just making the whole system easier to work in. Because at scale, even “small” improvements become huge wins. Cleaner diffs. Fewer code review nitpicks. Less mental overhead. Better developer experience. The best tools are often the ones you stop noticing. They just work.

Kiro to replace Amazon Q Developer. Kiro is an agentic development environment (IDE, CLI) built from the ground up for spec-driven development. Instead of reacting to individual prompts, Kiro works from structured specifications to plan, implement, and verify changes across your entire codebase. https://lnkd.in/gEx_FPyz

23 seconds. That's how much latency we chopped off a critical checkout flow for a major e-commerce platform. Imagine the impact on conversion, revenue. And the fix? Embarrassingly simple. The kind of thing you'd expect a junior dev to catch, but somehow, an entire team of battle-hardened engineers

🚀 Scaling from 1 User → 1M Users Just published my new blog on how modern applications scale efficiently. Do read and give feedback. If you are learning System Design, Backend Engineering, or building scalable apps — this might help. #systemdesign #blogs #modernapp #developer #interview

🚀 What I learned shipping a production e-commerce platform as a solo engineer [https://popboxstudio.com] Over the past months, I built and shipped a production-ready e-commerce platform from scratch. Not a tutorial project — a real system handling: ✅ payments ✅ inventory management ✅ SSR/performance optimization ✅ monitoring & debugging ✅ production edge cases One thing I learned quickly: Building software that works is easy. Building software that survives real users is where engineering starts. A few lessons changed how I think about product engineering 👇 1. Simple architecture scales further than you think It’s tempting to over-engineer early. Instead of optimizing for theoretical scale, I optimized for: • clarity • reliability • shipping speed • maintainability The biggest lesson? A simple system you deeply understand beats a “perfect” architecture you can’t debug. 2. Stripe + inventory race conditions are very real What happens when two users buy the last item at the same time? I learned that payment systems are really state-management systems. To avoid overselling and payment inconsistencies, I implemented: → inventory reservations during checkout → idempotent payment handling → Stripe webhook finalization → expiration/release flows for abandoned sessions Real systems fail in weird ways. Designing for failure became part of the architecture. 3. Performance work is boring (and high leverage) SSR, image optimization, loading priorities, hydration fixes, and reducing unnecessary client-side work ended up having outsized impact. Performance isn’t polish. It’s architecture. 4. Monitoring changes how you code Adding Sentry changed my mindset from “Works locally.” to “What happens when this breaks in production?” You start designing for observability instead of optimism. Biggest takeaway: Software engineering is tradeoffs — not perfection. Shipping a real product taught me more than months of tutorials. Curious: what lesson surprised you most after shipping something real? #SoftwareEngineering #FullStackDeveloper #TypeScript #NextJS #ReactJS #NodeJS #PostgreSQL #Stripe #WebDevelopment #SystemDesign

I thought I was building “real” full stack apps… until I realized my entire auth system was basically NextAuth + Google Provider. Building a JAMstack app made me feel like a senior dev. Building an actual full stack app humbled me fast. When I built my Promptopia project with Next.js, MongoDB, and Google authentication, I honestly felt like I had crossed into full stack engineering. And technically… I had. But only partially. What confused me was this subtle difference: A lot of JAMstack-style apps abstract away the hardest backend problems for you. Things like: • Authentication • Session management • OAuth flows • Security handling • API infrastructure • Deployment scaling You install a package, configure a provider, connect your database, and suddenly you have a working product. At first, I thought: “Wow… backend is easier than people said.” Then I started digging deeper. That’s when I realized traditional full stack development often means: • Designing auth logic yourself • Managing tokens/cookies manually • Structuring backend architecture • Handling validation/security deeply • Building scalable APIs from scratch • Thinking about queues, caching, rate limits, and server performance JAMstack made me productive, but it also hid complexity from me, and honestly? That realization helped my growth more than any tutorial. Because now I understand: Using abstractions is not cheating… but knowing what is being abstracted away is what separates developers who copy solutions from engineers who truly understand systems. What was the project or moment that humbled you as a developer and made you realize there were deeper layers to software engineering?

🚀 CLIENT: “We need software like Amazon, Uber & Airbnb.” 👨💻 Developer: “Sure. What’s your budget?” 🧑💼 Client: “₹15,000… including mobile app.” 😂 People think software development is just: ❌ Adding buttons ❌ Writing code ❌ Copy-pasting features But real software engineering means: ✔️ Planning architecture ✔️ Database design ✔️ Security implementation ✔️ Scalability ✔️ Performance optimization ✔️ Cloud infrastructure ✔️ Real-time systems ✔️ Future growth support Because… “Building software is not just coding. It’s engineering a scalable business system.” 💡 Cheap software may save money today, but unstable systems cost businesses much more later. #SoftwareDevelopment #StartupLife #WebDevelopment #ERP #BusinessAutomation #TechHumor #ITSolutions #Programming #DeveloperLife #SaaS

The world of development has fundamentally shifted. For a long time, we have said that anyone can write code, but there has been significant friction for many, especially when it comes to setting up environments and deployments. Today, Google has removed that friction, making the process simple, elegant, and easy, while ensuring everything is always up to date with the latest best practices. In just about 90 minutes on my phone, I wrote two apps (plus tests) with real value cases on my phone while sitting in session. There was no need for environment setup or deep coding—just clear product descriptions and feature definitions. This advancement opens up new possibilities for developers and non-developers alike. #googleio

Google made Gemini Code Assist free for individual developers. For SMBs, this looks like a gift. But it’s a trap. Here’s why: Free tier = your code, your prompts, your context windows feed Google’s training data. For a 50-employee SaaS company building proprietary IP, this is a problem. Your engineers writing internal tools? Fine. Free tier works. Your engineers writing the core product your company sells? Different conversation. The enterprise tier is $75/developer/month. For a team of 10 engineers, that’s $9,000/year. Here’s the math: 10 engineers × 1 hour saved/day = ~$200,000/year in time savings Cost: $9,000/year ROI: 22x But more importantly: your code stays yours. If you’re a CTO at an SMB and you’ve deployed Code Assist free tier to your full engineering org, audit it this week. Cheap can be expensive.

Confession: I still Google how to center a div. And I call myself a developer anyway. Nobody knows everything. The senior devs Google things. The junior devs Google things. Everyone Googles things. Knowing how to find the answer IS the skill. Stop gatekeeping yourself from a title you have already earned. #JuniorDeveloper #WebDev #ImposterSyndrome #YouBelong #FrontendDeveloper What is something you still Google every time?