Articles on API design, documentation, and developer experience from the ReadMe team.
An AI agent is great at mechanical work and bad at strategy. Knowing the difference is the skill that makes it useful.
The count of AI-generated drafts isn't the metric. Time-to-merge, miss rate, and support deflection are.
Interactive components only help if you remember to use them. An AI agent that knows your component library can do the remembering for you.
A diff-only AI writer sees what changed. A spec-aware writer also knows what the change means. The difference is whether the drafts are correct.
When ChatGPT or Perplexity answers a question, it picks one page to cite. Here's what makes that page yours.
A grounded agent rewards specific prompts. Here are the patterns that consistently produce drafts you can ship.
A well-tuned AI writer stays quiet on most PRs. The signal is in the restraint.
Grounding an agent in the rest of your docs is what stops it from inventing endpoints and contradicting nearby pages.
An AI writer is only as good as its ability to figure out which doc pages a code change affects. The mapping is the hard part.
An agent that doesn't know your style guide produces output that has to be rewritten. An agent that knows it produces output you can ship.