agent-native-reviewer

Context parity analysis ensures agents have access to the same data context as users. It reviews system prompts and data context to identify and rectify issues like context starvation, preventing automated workflows from missing critical information.

Tool design review validates that agent tools are primitives, not complex workflows. It analyzes tool definitions to ensure they provide fundamental capabilities that agents can compose, rather than rigid automated sequences.

Agent action failures often stem from orphan features where UI elements lack corresponding agent tools. Reviewing application designs for agent-native principles identifies these gaps and rectifies sandbox isolation issues to restore functional parity.

Agent-native code review is a process that enforces agent-native principles by analyzing UI elements, agent tools, system prompts, and data context. You need it when adding UI features to ensure automated workflows maintain equal capabilities with users.

Yes, agent-native review operates without external dependencies. It directly analyzes your application designs, shared workspace adherence, and tool definitions to validate parity between user interface actions and agent capabilities.