The better you get at pattern-matching system design answers, the worse you get at actually designing systems. This sounds wrong. It's not. You've witnessed the moment it falls apart. Perhaps you've lived it yourself. The interviewer says "Design a rate limiter." The
Everything Traces Back to Bugs Strip away the methodologies, the management frameworks, the process improvements, and software engineering has exactly two categories of problems: 1. Bugs - the reliability and testing problem 2. Dealing with the unpredictability of bugs - the management and scheduling problem Every other concern in software
The Pattern Recognition Problem There's something curious about the most popular programming books. Clean Code. The Pragmatic Programmer. Refactoring. Design Patterns. All are written by people who built large, complex systems. All contain reasonable, even excellent advice. And yet, if you try to apply them to a large
The Feedback We Think We're Getting Software development has feedback mechanisms built into its standard practice. Code reviews before merging. Test suites that must pass. API contracts that must be satisfied. These are supposed to catch problems, enforce quality, and help programmers improve. But here's the
The curriculum was invisible, but you learned it anyway. The Invisible Curriculum There's a peculiar gap in software engineering that we rarely discuss openly: the vast distance between what universities teach and what professional programmers need to know. I don't mean the usual complaints about outdated
Article 1: The Basic Mechanics - Campaign Structure and Launch The Three-Level Hierarchy Every major advertising platform, whether it's Google, Meta, or LinkedIn, organises campaigns using the same fundamental structure. At the top level you have the Campaign itself, which contains Ad Sets (or Ad Groups in Google&
Every few months, someone invents a new way to talk to AI that promises to save you money. The latest is something called TOON which stands for Token-Oriented Object Notation. If you work with large language models like ChatGPT or Claude, you might have seen it mentioned. It's
Most developers are using LLMs wrong. They treat them like glorified autocomplete - type a prompt, get some code, copy-paste, move on. It's faster than StackOverflow, sure. But it's just as shallow. The real power of LLMs isn't that they write code for you.
There's a peculiar amnesia in our profession. We learned about preconditions, postconditions, and invariants, perhaps in a university course on formal methods, or from a book on defensive programming, or during a discussion about Design by Contract. We nodded along, maybe even implemented some assertions in our code.
We're drowning in solutions. Every month brings a new framework promising to tame complexity. Another architecture pattern guaranteeing maintainability. Another service boundary that will keep the chaos contained. We've built an entire industry on the premise that if we just find the right combination of tools,
Martin Fowler's influential definition of refactoring has guided software engineers for decades: "Refactoring is the process of changing a software system so it does not alter the external behavior of the code but improves its internal structure." It's a clean, safe definition and also
AWS's US-East-1 region went dark because of a timing failure in its DNS automation layer, a system designed specifically to prevent such failures. Three components, all functioning correctly in isolation, interacted at the wrong moment: one DNS worker processing slowly, another deleting aggressively, and a planner generating updates