One Developer's Honest Account of a Year Using AI Coding Assistants

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A Bangladesh-based developer and SaaS founder spent a year using AI coding tools — GitHub Copilot, Cursor, and Claude — and documented how the experience reshaped his workflow. He found speed gains were real but narrowly concentrated in repetitive, pattern-heavy tasks like boilerplate code, CRUD routes, and scaffolding, where time dropped from 20–30 minutes to under five. For novel problems, architectural decisions, and complex debugging, the AI offered little to no advantage and sometimes produced confident but incorrect output. A 2022 GitHub study backing a 55% speed improvement on standardized tasks was noted, though the developer observed this applied mainly to well-defined, routine work. Over time, his sense of satisfaction shifted from the craft of writing code to the project-management feeling of moving tasks forward quickly.

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