From SDLC to AI-DLC: Coding Agents Are Only the Beginning

Short summary

The article introduces the AI-Driven Development Lifecycle (AI-DLC), where AI agents handle requirements analysis, implementation, testing, and code review alongside human accountability. It references AWS and OpenAI Codex as examples of managed, long-running coding agents. The author argues that coding productivity gains alone don't solve delivery bottlenecks — requirements, architecture, and integration gaps remain the real constraints.

• •AI-DLC extends SDLC by giving agents meaningful roles in analysis, execution, and validation
• •Coding agents like AWS and OpenAI Codex are becoming managed workers, not just editor plugins
• •Bottlenecks shift from coding to requirements, architecture, and review — agents can amplify these gaps

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