Un SDLC piloté par l'IA : le cycle SFEIR à 11 phases (et pourquoi l'industrie y converge)
SFEIR article (in French) that formalizes an **AI-driven SDLC in 11 phases (0 to 10)** and argues that the industry is converging toward it. Starting observation: in 2025, organizations added AI tools without transforming their operating model — producing a paradox of « everything changes… and nothing changes » (execution speed multiplies without proportional gain). The real answer is not the choice of tools but the **redesign of the cycle** for machine execution. The SFEIR cycle rests on **three immovable human gates** (Define, Plan, Ship), automatic phases between them, and **two capitalization moments** (Compound-1 pre-deployment, Compound-2 in production) that turn lessons into reusable rules. Three principles: **AI executes** (complete artifacts + proof of execution, never trusting the agent's own claims), the **human retains control of intent**, the **system learns cumulatively**. Measured results (redesign 6 months→1 day, **−30% of iterations** after ten cycles) and claimed convergence with ADLC, Google, and DORA 2025.
SFEIR