AI Dev Workflow: Prioritize Architecture & Testing Over Manual Prompting
dotey · x · 2026-08-31
Addressing the inefficiency of manually crafting prompts in AI-assisted development, the author suggests a more systematic workflow.
Core points:
- Quality is the Goal: Manual coding and prompting are just means; the end goal is software quality.
- Test-Driven Iteration: Instead of writing prompts line-by-line, organize a test dataset and set baselines. Iterating based on test results and feedback often yields better outcomes than manual prompting.
- Architecture & Automation: For coding, define the architecture first and ensure automated test coverage. After AI generates the code, developers should focus on functional verification, performance, and security testing.
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