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AI-Driven SDLC: Orchestrating Autonomous Software Development

An end-to-end, governed development workflow that moves from Jira requirements to design, testing and pull-request creation while retaining deliberate review gates.

Rajat Khandelwal and Nitesh Soni

Key takeaways

  1. 01

    AI can remove repetitive architecture and implementation work when it is grounded in the real codebase.

  2. 02

    Design and post-test approval gates preserve engineering accountability.

  3. 03

    The durable outcome is more senior capacity for judgement, not less human involvement.

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