A dream of AI DLC A peek into the future based on tools and tech that we have (magistr.me)

A manifesto proposes an AI-Driven Development Lifecycle (AI‑DLC) that rethinks how software is built for a world where AI agents create at machine speed. Rather than bolting AI onto existing rituals, it argues for strategy-first planning (Wardley mapping anchored to users), an AI‑augmented RFD (Request for Discussion) process that produces machine‑readable designs, asynchronous human debate, AI synthesis, and a final “Human Gate” for accountability. Significance: the approach promises orders-of-magnitude faster iteration while preserving strategic clarity, traceable intent, and human responsibility — a practical blueprint for teams wanting AI productivity without chaos. Technically, the AI‑DLC centers on a living hypergraph (Digital Twin) that models every function, API, and dependency as nodes and edges; RFDs seed the hypergraph, AI agents generate code, and a Verifiable Runtime validates code against tests and the graph before updating it. Context‑aware IDEs connect to that hypergraph to offer TDD-guided code generation, real‑time architectural compliance checks, and instant performance simulations. An adaptive “technical immune system” enforces constraints anchored to BDD scenarios so only intent‑aligned, verified changes deploy. The result is a computable, governable pipeline where architecture, tooling, and AI co-evolve to scale engineering safely.