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Joined 3 years ago
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Cake day: July 2nd, 2023

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  • It’s just not worth it until your monolith reaches a certain size and complexity. Micro services always require more maintenance, devops, tooling, artifact registries, version syncing, etc. Monoliths eventually reach a point where they are so complicated that it becomes worth it to split it up and are worth the extra overhead of micro services, but that takes a while to get there, and a company will be pretty successful by the time they reach that scale.

    The main reason monoliths get a bad rap is because a lot of those projects are just poorly structured and designed. Following the micro service pattern doesn’t guarantee a cleaner project across the entire stack and IMO a poorly designed micro service architecture is harder to maintain than a poorly designed monolith because you have wildly out of sync projects that are all implemented slightly differently making bugs harder to find and fix and deployments harder to coordinate.








  • It only looks like this if you want compression and backwards compatibility. All compiled languages have output that is optimized for those things and not readability, but if you turn off minification and use a modern language target then the compiled typescript code will look almost identical to the original code.










  • AI will trivialize the day to day work of programming, the really hard part of programming is being able to put together complex systems in a maintainable way. It’s really more of a project structure problem than it is a programming problem. Best way to future proof yourself is to focus on the higher level architectural challenges and putting together complex infrastructure as opposed to learning things like sorting algorithms (although I don’t think interviewing has caught up with that yet). LLM powered systems may eventually get to the point where it can even replace architectural tasks, but at that point almost all office jobs will be obsolete.

    EDIT: Another thought, getting out of tech now is like getting out of tech right before the Internet took off. Yes AI will replace a ton of jobs and there’s going to be a big reckoning, but there’s a shit ton of work to get these systems in place in a reliable way. The next Gen of AI is super capable, but it’s also pretty jank, and getting it to work to it’s capability will require a ton of work which provides a ton of opportunity to get in on companies that will become big when they do it well.