CURSOR FEEDBACK: CODE CHURN OVER DEBUGGING IN A SIMPLE GODOT APP
A Reddit user tried building a small Godot tic‑tac‑toe app with Cursor. The tool scaffolded a project but failed to wire click events and repeatedly rewrote cod...
A Reddit user tried building a small Godot tic‑tac‑toe app with Cursor. The tool scaffolded a project but failed to wire click events and repeatedly rewrote code instead of diagnosing the root cause; the user also quickly hit free‑tier prompt limits. The takeaway was to set clear expectations for debug-first behavior and start with smaller, verifiable steps.
AI pair programmers can default to code churn without root-cause analysis unless guided and constrained.
Prompt budgets and reliability directly affect developer velocity and cost.
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Pilot Cursor with a 'diagnose-before-rewrite' prompt template and require it to localize failure using logs or minimal repros before proposing changes.
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Gate acceptance on small, testable checkpoints (e.g., event wiring or I/O contract tests) with instrumentation to validate behavior before adding features.
Legacy codebase integration strategies...
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Limit AI edits to scoped files with failing tests and logs, and block wholesale rewrites via CI checks and code-owner reviews.
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Track AI-driven diffs for churn and regression rates to decide where AI assist is safe in legacy code paths.
Fresh architecture paradigms...
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Start with vertical slices that have clear acceptance criteria and telemetry so the AI can verify progress incrementally.
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Establish a prompt/playbook for debug-first workflow and scaffold tests and logging before feature generation.
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