I Wired AI Directly Into My Workflow: Turns Out Code Was Never the Bottleneck
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A Tech Lead shares his experience integrating an agentic AI workflow directly into repositories, where an LLM agent reads tickets, generates a plan in Markdown, and only produces code after human review. The key insight: code was never the real bottleneck — requirements clarity, legacy system integration, and operational complexity are. Unstructured AI code generation scales problems rather than solving them. The author argues developers must shift from writing code to directing AI, validating outputs, and making architectural decisions, becoming editors rather than writers. The setup requires continuous refinement and is a long-term investment, not a quick fix.
