AI coding assistants are effective producers. But they're not reliable self-verifiers.
A shared session accumulates local assumptions, abandoned approaches, and retry artifacts — each reinforcing "the previous call was right." When review reuses that context, it inherits the author's framing instead of independently re-deriving correctness.
You can verify every diff and still miss the bigger picture.
Every meaningful AI coding task is a closed loop:
- Loop-first — No step is done until independently verified
- Wire-composable — Loops connect through machine contracts, not chat history
- Surface-shared — Knowledge persists across sessions, models, and hosts
CrossReview implements verify. Sopify implements wire and surface.
| Loop Role | What It Does | Project |
|---|---|---|
| verify | Context-isolated cross-review — same model, clean session, independent second pass | CrossReview |
| wire + surface | Full workflow orchestration — checkpoints, blueprints, traceable decision chains | Sopify |
CrossReview — Verification primitive for AI coding. Same model, clean session, independent second pass on your output. Atomic and composable — runs standalone or as a verification step inside broader workflows.
Sopify — AI coding workflow orchestration layer. Manages state, plans, and decisions across the full lifecycle — checkpoints when facts are missing, resumes from state, not from scratch. CrossReview is designed to slot in as its verification step.
CrossReview is the verify — atomic, isolated, independent.
Sopify is the wire + surface — connecting loops, accumulating knowledge.
Together, they close the loop.