You submit a GitHub repo, and Claude writes an accurate architecture document straight from the actual code.
A straight line.
Pattern: Sequence (1)
Understanding an unfamiliar codebase or vetting a vendor's repository can take days of digging through files by hand. Generic AI summaries often make up technologies that aren't even used, which makes them useless for real decisions.
Engineering leads, open-source maintainers, or teams doing technical due diligence on a codebase.
You get an architecture document written straight from your repository's real code, complete with diagrams, added right into GitHub.
The hard question is not how to build it. It is whether this is the right thing to build first.
That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.
Let's Talk Strategy