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Insights · SDLC Optimization

Everything on SDLC Optimization

1 insight · 1 episode

  1. AI enables a return to accelerated waterfall methodologies by allowing deep problem-space exploration and planning without code execution. This shift supports larger scopes and higher-quality outputs compared to agile's iterative de-scoping.

    Impact: Engineering teams can reduce rework and accelerate delivery by leveraging AI for comprehensive upfront planning, resulting in more ambitious and well-structured product releases.

    — from AI Native Transformation: Strategy, Swarms, and SDLC Shifts · Product Momentum Podcast· May 13, 2026