GitHub Blog
1. The cost of saying yes has changed
揭示了软件开发的范式转变：AI使初始代码成本降低，成本转移到决策和所有权。对采用AI代码生成的团队至关重要。 (score: 0.78)
The article argues that the most expensive part of small feature requests is no longer writing the code but the meetings debating whether to write it. With AI-assisted code generation, producing a first patch is cheap, so teams should use it as a probe to make informed decisions. However, cheap code does not mean cheap ownership; changes still require careful review and validation. The new skill is pricing uncertainty and knowing when to just try it.
- Meetings about small changes often cost more than the actual code patch.
- AI can produce a first patch cheaply, turning scope debates into evidence-based discussions.
- The first patch is a probe, not the final product; it helps assess real costs.
- Cheap code does not equal cheap ownership; human validation is still critical.
- Scope discipline should move from upfront planning to review of concrete artifacts.
- The new skill is pricing uncertainty: knowing when to try and when to say no.