Reviewport
An agent-change review layer that compares a proposed code change with team-owned architectural rules, explicit task assumptions, security touchpoints, evaluation deltas, and rollback surface before a human approves merge or deployment.
Code review tools can flag a suspicious line while missing the larger reason an autonomous change is dangerous: the agent assumed a service was stateless, changed a shared interface, or widened a migration whose rollback now touches several systems. Reviewport places a structured review between agent output and merge. It shows the diff, cited rules, explicit or evidence-inferred assumptions, affected surfaces, checks, and rollback unknowns in one place. The human still decides; the product concentrates attention where an agent-generated change needs it most.
An engineering-platform, architecture, or application-security lead whose team accepts agent-generated changes and needs a consistent gate before those changes reach protected branches or deployment workflows.
Current reliability backlash and observed manual debugging pain create an active buying window.
Engineering-platform, architecture, and security leads own the review policy and the consequences of unsafe agent changes.
Two cross-references, five inbound connections, and three direct links show local density without broad independent convergence.
The buyer and insertion point are concrete, a live adjacent reviewer validates budget, and agent reliability backlash creates a current reason to separate agent-aware review from generic pull-request commentary. A team rule corpus can compound through repeated decisions.
No structural incumbent disadvantage is evidenced, and the closest competitor is already moving toward agentic review. Hidden assumptions cannot be observed directly; the product must distinguish explicit statements, evidence-based inferences, and unknowns.
Discussion
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