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Introduction

Syntaxis hands AI coding agents one shared way to plan, build, verify, test, and write up software — always one feature at a time.

Every plan, spec, finding, test case, and finished record ends up as a readable file in your repository, so none of it evaporates along with the chat session that produced it.

There’s no application framework hiding underneath this. No runtime dependency gets added, no library gets picked for you, no architecture gets written on your behalf. The stack stays entirely your call — and on the rare occasion you want Syntaxis to build one for you, /scaffold reaches for that stack’s own official generator instead of inventing a skeleton of its own.

Left unstructured, AI-assisted coding fails in a few predictable ways:

  • The actual intent only ever existed in a chat message, so it’s gone the moment that session ends.
  • Multiple features get built in the same pass with no real boundary between them.
  • “It works” and “it’s tested” get stated as fact with nothing observable standing behind either claim.
  • Testing shows up as an afterthought, with no plan, no traceability, and no record of what actually ran.

Syntaxis answers with a small set of rules that don’t bend:

Rule What that looks like day to day
The spec comes first The agent writes it up and stops, waiting on your review before touching implementation.
One thing in flight One scope, one list of acceptance criteria, one branch — never several at once.
Proof, not a green pipeline /check drives the actual running app; a passing build alone proves nothing about behavior.
A finding doesn’t just fade away An open P0 or P1 stops /complete cold until it’s resolved.
QA gets its own track Test plans, designed cases, automation, and cycle records — for both web and mobile.
You approve anything that leaves the sandbox Commit, merge, push, deploy, and anything destructive all wait on your yes.

None of this is meant to take your judgment out of the process. It exists to keep your judgment attached to code that’s being written quickly.

The build loop and the QA loop run side by side, sharing a single defect ledger. A test case that fails writes into the exact file a code review already writes to — which is why it blocks completion through a gate that already exists, instead of a second gate that might quietly disagree with the first.