AI & Automation
What is AI-Driven Development Lifecycle (AI-DLC)?
A software delivery methodology in which AI agents drive planning, design, and build work while humans validate and decide at checkpoints.
Introduced by AWS in 2025, AI-DLC structures work into Inception, Construction, and Operations phases with short cycles instead of multi-week sprints. AI proposes plans and artifacts; teams review them collaboratively. For ERP programs it raises the importance of strong test oracles and automated regression to validate AI-produced changes.
Related terms
AI Agent
Software that uses an LLM to plan and perform multistep tasks by calling tools and systems with some autonomy.
Human-in-the-Loop
A design in which humans review, approve, or correct AI outputs or actions at defined checkpoints.
Agile
An iterative delivery philosophy emphasizing incremental value, collaboration, and adaptation to change.
Continuous Integration and Continuous Delivery
Automating build, test, and deployment so that changes are integrated and released frequently with quality checks.
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