Based on nearly 20 years of working together on various projects, we discuss when it makes sense to move fast rather than aim for perfect code, and how to avoid technical debt that can kill your project.
We focus on making mindful engineering decisions instead of blindly following rules like “always do X” or “never do Y”. Different situations need different approaches to code quality.
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Based on nearly 20 years of working together on various projects, we discuss when it makes sense to move fast rather than aim for perfect code, and how to avoid technical debt that can kill your project.
We focus on making mindful engineering decisions instead of blindly following rules like “always do X” or “never do Y”. Different situations need different approaches to code quality.
Go in the AI era: Go is excellent for AI applications, as the built-in concurrency makes orchestrating parallel API calls much easier than languages like Python
Architecture philosophy: Clean Architecture isn’t always necessary. Start simple and add layers only when you feel the pain of complexity, not because someone said you should
Career transitions: Switching roles within tech is easier internally. Moving from sysadmin to developer works better within the same company where people already trust you
Go design patterns: Small interfaces near usage is the Go way. Duck typing allows you to define interfaces where they’re used rather than in separate layers
Distributed systems: Async communication often solves sync timeout issues. When dealing with chains of service calls, consider using messages instead of increasing timeouts
In this special 10th episode, we answer community questions in our first AMA format before taking a summer break.
We discuss Go’s role in AI development, Clean Architecture implementation, career transitions in tech, and distributed system timeouts.
After the break, we’ll switch to pre-recorded episodes with improved production quality. We still plan running some live episodes like this one, so stay tuned!
NO SILVER BULLET
Based on nearly 20 years of working together on various projects, we discuss when it makes sense to move fast rather than aim for perfect code, and how to avoid technical debt that can kill your project.
We focus on making mindful engineering decisions instead of blindly following rules like “always do X” or “never do Y”. Different situations need different approaches to code quality.
