Editor, version control, debugger, profiler. For the layer above the code.


Cuts the time you spend writing and the tokens the AI spends reading.
The PR loop your team already trusts, applied to the words that turn into code. Review the change, see the code it'll produce, agree, merge.
Structured blocks the AI can act on and humans can read.
The code runs in a moving world. Hook a block to it, see what's gone out of date.
Embed live metrics in the blocks that produced the code. When you debug, the AI reads both the words and the runtime behavior, and regenerates with the full picture.
Each block produces code. Each piece of code points back at the block. The link survives every regeneration, so the trail between words and code is always there.
Reviewing AI-generated code means reading a thousand lines. Reviewing what produced it means reading four sentences. Same disagreement, much smaller diff.
The graph of how the code is performing sits inside the writing that produced it. When something breaks in production, you can fix it on the page where it was written.