Three essays on AI-first software ask how hard contracts survive cheap code
_xjdr · x · 2026-07-28
A three-part essay argues for new best practices in AI-assisted software development, focusing on how teams can adapt to cheap implementation without losing engineering discipline.
Main ideas
- AI makes implementation cheap, but that does not eliminate the need for clear requirements and strong contracts.
- The essay frames the new workflow as an engineering loop that can keep up with agentic coding.
- One part warns against an unchecked --yolo style of development, where agentic work escapes approval and review queues.
- The overall question is what stays human when software implementation becomes abundant.
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