Author here. This is the first part of a series based on our experiences at MadKudu, where we've shifted to treating AI agents as full-time developers, not just assistants.
We found that traditional development practices break down completely under this model. I've distilled our learnings into 11 principles that have made AI-native development practical and significantly boosted our team's productivity (e.g., by focusing on mono-repos, strict typing, and redefining the engineer's role towards documentation and architecture).
Happy to discuss these principles and answer any questions.
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[ 3.3 ms ] story [ 13.2 ms ] threadWe found that traditional development practices break down completely under this model. I've distilled our learnings into 11 principles that have made AI-native development practical and significantly boosted our team's productivity (e.g., by focusing on mono-repos, strict typing, and redefining the engineer's role towards documentation and architecture).
Happy to discuss these principles and answer any questions.