We ran a benchmark to see how well @Claude Code actually refactors legacy code alone and then redid the same test, but this time with code-health guidance via MCP server.
To limit any vendor bias, we used a public data set of 25,000 source code files from competitive programming, including carefully crafted unit tests.
We assessed agent correctness by running those tests.
We measured the Code Health impact using CodeScene.
(See our research Code for Machines, Not just Humans for more details on the methodology and data)
Claude Code that was MCP-guided achieved 2 5x more more improvements in Code Health compared to unguided refactoring.
Lately I ve been wondering whether the one AI tool builds the whole product idea is actually what people want.
For a simple website or SaaS-style app, the workflow often ends up looking like this:
UI in one tool, backend somewhere else, auth/payment setup in another place, deployment on a different platform, and maybe an admin dashboard built separately.
That gives you flexibility, but it can also get messy fast especially for non-technical founders, small teams, or people trying to validate an idea quickly.
