The Idea After deciding to build an iOS app using AI, the first thing I set out to create was a metronome app designed for dark stage environments. Back in college, I played drums — and while that was a while ago, there weren’t many metronome apps that felt both clean and professional. (Turns out, that’s still true today.) That’s what led me to the idea: a simple, black-and-white metronome where
I have a confession: I'm a productivity app addict. Notion, Todoist, Things, TickTick, Bear, Obsidian — I've tried them all. And every single one failed me in the same way. Not because they were bad apps. But because they let me add unlimited tasks. So I'd wake up Monday morning, open my to-do app, and see 47 items staring back at me. By 9am I was already paralyzed. Decision fatigue is real. When
I'm going to give you the comparison I couldn't find when I was choosing. Most "Claude Code vs Cursor" articles are either vibe-based or benchmarks that don't match solo indie dev workflows. I wanted something grounded in an actual multi-product project: 4 iOS apps, 5 distribution surfaces, 11 public repos, CI/CD across all of them. So I spent 14 days building exactly that — exclusively with Claud
It's a one-line item on the roadmap. "Send a push notification when X happens." Estimate is two days, three if the backend doesn't have FCM credentials yet. There's a library for it. The library is the visible part. The other 90% is platform lifecycle, registration state machines, race conditions with navigation, payload archaeology, and a half-dozen iOS and Android quirks. Nobody writes them down
SQL is widely known for data querying and manipulation but systems do grow; data becomes larger; processes become repetitive and operations become sensitive. SQL has some features which enables it to be considered a fully fledged programming language. Some of the features which I discuss in this article are procedures, functions and transactions. Each of these concepts serve distinct purposes. Sto
Hi 👋, In this post we shall explore Bedrock's structured KB with this architecture: Upload CSVs to S3 > SNS Queue > Crawl data with Glue > Query with Redshift > Bedrock KB > Query with LLM. Let's do some of this with code. Let's get started. Clone the repo and switch to the project directory. git clone [email protected]:networkandcode/networkandcode.github.io.git cd structured-kb-demo/ Do a uv sync
Subqueries vs. CTEs in SQL: A Practical Guide to Writing Cleaner, Smarter Queries Whether you're just getting comfortable with SQL or leveling up your data skills, two tools will come up again and again when working with complex queries: subqueries and Common Table Expressions (CTEs). They solve similar problems — breaking a complex query into manageable pieces — but they do it in different ways
Mobile tests are where the bugs actually live. A signup flow that works on an iPhone 15 falls apart on a lower-end Android because the keyboard pushes a button off-screen. A push notification mid-flow leaves the app in a state nothing else reproduces. Memory pressure on a four-year-old Android does things you can't make a simulator do. I wrote simulator-only tests anyway, for years. Real-device ru