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How AI Coding Agents Like Claude Code Are Reshaping the Software Development Life Cycle

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The traditional Software Development Life Cycle (SDLC) — spanning requirements, design, development, testing, deployment, and maintenance — is evolving as AI coding agents become active participants in the process. Tools like Anthropic's Claude Code can read codebases, edit files, run tests, and investigate failures, effectively functioning as a collaborative team member rather than just an assistant. Rather than replacing the SDLC, AI agents are being integrated within each stage, from brainstorming requirements and identifying edge cases to planning and testing. However, experts emphasize that human oversight remains essential — particularly in defining business goals, validating requirements, and making deployment decisions. For developers entering the field today, understanding how to work alongside AI agents within a structured development process is becoming a foundational skill.

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