Go’s lack of inheritance is deliberate. The Go designers observed that inheritance hierarchies tend to create tight coupling and fragile base classes — problems that composition avoids. Embedding is Go’s tool for composition: you can embed one type in another and promote its methods, without inheritance’s downsides. It’s more powerful and more subtle than it appears. ...
The fintech startup started using RFCs (Request for Comments documents) when we hit seven engineers and decisions stopped being made naturally in conversation. Before RFCs, we’d build something, present it, discover disagreement, and partially rewrite. The disagreement was always there — we just discovered it late. RFCs in theory: write down what you’re proposing before building it, get feedback, align, then build. RFCs in practice, initially: long documents that people didn’t read, discussions that went in circles, and decisions that weren’t really made. The format that fixed it took six months to evolve. ...
When I started writing Go after years of Java, the error handling felt tedious. Every function returns an error. Every callsite checks if err != nil. There’s no try/catch, no exception hierarchy, no automatic stack traces. The verbosity was jarring. A year into building services at the fintech startup, I’d changed my view. The verbosity is real and the boilerplate is real, but the explicitness surfaces things that exception-based languages hide. The question is how to handle errors well rather than just correctly. ...
I joined the large financial institution expecting to find bureaucracy that slowed down engineering. I did find that. I also found something I didn’t expect: certain constraints imposed by regulation, scale, and risk aversion produced genuinely better engineering decisions than I’d been making at the smaller trading firm. This is about the non-obvious lessons. ...
The move from a small trading firm to a large financial institution meant working with codebases an order of magnitude larger, maintained by dozens of engineers across multiple teams. It also meant encountering the full spectrum of Java threading models in production — some appropriate, some inherited from a different era, and some that were actively causing problems. This is a survey of what those models look like, what they’re good at, and how you tell which one a system needs. ...