
End-to-End AI Coding Workflow: A Production-Grade Pattern for Prompts, Error Handling, and Verification
Treat AI-generated code like a controlled engineering loop: standardize prompts, validate edits, fix exact errors, test, and gate by risk.
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Field notes on shipping AI-native systems with human engineering judgement: architecture, modernisation, automation, and the tradeoffs in between.

Agentic coding tools force a tradeoff: editor-first control, terminal-led safety, or orchestration-driven autonomy.