In the age of Claude Code from Anthropic, OpenAI Codex, and other coding Agents, the process of code generation becomes almost trivial.
However that does not mean that the generated code is automagically:
1️⃣ Of high enough quality to push to customer and/or
2️⃣ Creates any business value
This raises two interesting and interrelated questions for AI Forward companies - Does collapsing the velocity of code generation actually improve the Idea->Production cycle time (i.e. should coding agents be the default way for code-gen)? and
If coding agents actually create more code merge requests then what does the rest of the “SDLC” look like? and are coding agents just moving the bottleneck elsewhere?
Different folks are trying different ways of answering both these questions - check for instance this interesting note
Latent Space: Reviews are dead
which argues that Not only is human coding dead - Human code reviews are also over 🤔
Also - since Human written code is increasingly being referred to as “Artisanal Coding” is Human code review now “Artisanal Reviewing”?