Muhammad Hamza Farrukh

The best code review I ever received had zero technical feedback. Instead, my senior colleague wrote: "The code works perfectly, but someone reading this in 6 months won't understand the reasoning behind your approach. What context are we missing?" No nitpicks about variable names. No debates about algorithms. Just one simple question that changed how I think about code forever. That review taught me: → Code is written once, but read hundreds of times → Your biggest audience isn't your team today—it's your team in 6 months → Clarity beats cleverness every single time → The best code tells a story, not just executes logic Now when I review code, I ask different questions: "What story is this code telling?" "Will someone understand the 'why' behind these decisions?" "Are we solving for today's problem or tomorrow's maintenance?" The most impactful code reviews aren't about finding bugs—they're about building empathy for the humans who will inherit your work. What's the best non-technical feedback you've received on your code? #CodeReview #SoftwareEngineering #TechLeadership #CleanCode

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🚀 Introducing Pulse: A blazingly fast terminal-based system monitor built with Rust I'm excited to share Pulse – a powerful CLI tool that gives you real-time visibility into your machine's performance metrics with zero overhead. Why Pulse? Traditional monitoring tools sacrifice performance for features. Pulse leverages Rust's zero-cost abstractions and memory safety guarantees to deliver comprehensive system insights without compromising speed. Core Features: ⚡ Per-core CPU utilization tracking with visual meters 🧠 Deep memory profiling (heap, stack, swap analytics) 💾 Multi-filesystem disk I/O monitoring 🌡️ Thermal telemetry with intelligent threshold indicators 📊 Network interface statistics (receive/transmit data) 🔍 Intelligent process introspection – auto-flags processes >20% CPU or >500MB RAM ⚙️ Built-in process management – terminate rogue processes directly from terminal Real-World Applications: ✓ DevOps engineers debugging resource bottlenecks ✓ System administrators monitoring server fleet health ✓ Developers profiling application performance ✓ Anyone needing granular control over system resources Future Add-ons: Time-series metrics visualization for trend analysis Prometheus-compatible exporter for observability pipelines WebSocket API for remote monitoring Container-aware tracking (Docker/Kubernetes integration) Custom alerting thresholds and notifications All from your terminal. No GUI overhead. Pure performance. 🔗 Repo:https://lnkd.in/gUnUharH What metrics would you want in a terminal monitor? What features would make this indispensable for your workflow? #RustLang #SystemsProgramming #DevOps #OpenSource #CLI #SRE #Observability #PerformanceEngineering #CloudNative #TechInnovation

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You’ll drop C++ from your resume real quick once you see what actual HFT devs are pulling off with it.

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The traditional path to becoming a senior engineer is closing, and the industry has no incentive to build a new one. The best engineers don't write code anymore - they direct AI to write it. But this only works if you already understand software deeply. You need years of writing code to know what good looks like, to make the right technical tradeoffs, and to recognise when AI is wrong. Within a year, most startups and scaleups will only be hiring engineers that build software this way, or they'll be replaced by new ones that do. And when that happens, the model that currently trains Juniors - watching Seniors, absorbing patterns, making mistakes on low stakes work - will disappear. How on earth do you learn to write good code when nobody around you writes code at all? And what incentive do companies even have to find an answer to that question, when in truth, we probably have all the senior engineers we're ever going to need. AI-augmented engineers are currently 4-10x more productive, but that productivity won't translate to 4-10x the revenue. It translates to fewer people needed for the same output. In other words, the need for 20 Seniors becomes a need for 2-5. If you're a junior, this means the industry won't train you—so you need to train yourself. But you have something previous generations didn't. The very same AI that's closing the traditional path can become your personal mentor that the industry is no longer providing. In your pocket or on your desktop, you now have a Senior Engineer who never gets frustrated with your questions, never gets tired of explaining the same concept a different way, and never makes you feel stupid for not knowing something. They're available at midnight, on weekends. They're a frontend specialist and a backend specialist. They've seen big teams, small teams, and everything in between. Of course, for AI to become your mentor, you have to use it like a mentor, not like a shortcut. When AI generates code, interrogate it. Ask why this approach and not another. Ask how it could fail. Ask what a senior engineer would criticise. When you're using a database or framework you don't fully understand, ask it to explain what's actually happening until you understand completely. When you're building something, ask who it's for and what happens to them when it's slow, or broken, or confusing. Develop product sense and taste, and learn the difference between something that can be built, and something that should be built. (AI can help but this is the hardest part). And then find a real human to fill in the gaps and tell you where you're still getting it wrong. Truth is, if you're a Junior Engineer nobody is coming to save you. But it's also never been easier to save yourself.

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