architect-to-product vs wavefront
architect-to-product: A2P is an AI engineering framework delivered as an MCP server, designed to turn AI-generated code into production-ready software by enforcing engineering discipline. It introduces evidence-gated development, architecture-driven planning, and comprehensive security reviews to ensure robust and verifiable software delivery.; wavefront: Wavefront AI is an open-source enterprise AI middleware platform designed to connect to various APIs, databases, and LLMs to build AI-driven agents and workflows. It provides essential features like authentication, authorization, observability, and data connectivity for production-ready AI applications.
TL;DR
Start a new project with guardrails: Use A2P from day one to define architecture, plan slices, build with TDD, and generate deployment artifacts.
Building AI agents and workflows to audit, underwrite, supervise contact centers, and automate business processes.
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