Agile AI-Driven Development

Agile AI-driven development adapts agile planning and delivery rituals for AI-assisted teams, using agents to support analysis, requirements, architecture, implementation, and quality assurance. BMAD is a prominent open-source methodology in this category [src-184].

Related

  • Agentic Software Development Lifecycle
  • AI Coding Agents
  • Agent Workflows

Robin Cartier perspective

This page is part of Robin Cartier's working AI knowledge graph: a practical research layer for production AI, recommendation systems, experimentation, GEO, and agentic web readiness.

The useful next step is to connect this concept back to applied product leadership and operating models.

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Keep reading from this thread

From 477 indexed pages and articles.

  1. Wiki concept Agentic Software Development Lifecycle The agentic software development lifecycle structures AI assistance across requirements, architecture, implementation, testing, and delivery rather than treating coding agents as isolated Related by agile
  2. Wiki concept BMAD An open-source, artefact-led software-development methodology and workflow builder for guiding AI-assisted delivery [src-184, src-253]. Related by development
  3. Insight Recommendation Systems in Production How recommendation systems become production decisioning systems through signals, ranking, constraints, feedback loops, and experimentation Readers have engaged with this next