Code Review — AI Prompts

A good code review prompt saves the scarcest resource — reviewer attention: the model takes the first pass over the code, catching bugs, null-safety violations, readability problems and architectural smells, while the judgment calls stay with you. Typical scenarios: check your own code before opening a pull request when no reviewer is around; get a structured review of unfamiliar legacy code with prioritized findings; or learn from the process, since every finding comes with an explanation and a suggested fix. TokenCraft prompts are refined templates with variables: paste your code and project context, copy the prompt and run it in ChatGPT, Claude or Gemini. Findings arrive ranked by severity — from crashes to nitpicks — so the output reads like a senior colleague's review, not a wall of pedantry.