hr_ops · workflow
Merpay iOS engineer uses AI-driven learning cycle with Cursor to master programming languages
As AI tools made it easy to generate working code without deep understanding ('vibe coding'), the author grew concerned about whether they truly grasped the code AI produced, and wanted a structured way to use AI to learn rather than just to produce output.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Step 1: AI creates learning plan
Cursor is prompted with the official documentation URL and a time limit to produce a structured, day-by-day learning plan as a markdown file.
Tools used
Cursor
Outcome
The AI-driven learning cycle made it easier to continue studying, reduced the overhead of planning what to do next, and gave the author confidence that learning was sticking through output-centered practice.
Grounding & classification
Source type: technical build writeup
18 fields verified against source quotes.
agentic workflowcode generationcontent generationknowledge basehuman review describednamed customerproduction runtime claimedtools describedworkflow describedsoftwareemployee productivitytime savedtechnical build writeuphr opsai draft human approval