The GRC Vibe Coder's Playbook · Lesson 03 of 06

Which AI tool fits my project?

Match the tool to the task, not the hype.

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Our running project

A visual prototype may start in v0 or a browser-based builder.

Cursor is useful when shaping and editing a site in an IDE.

Codex or Claude Code may be better fits for delegated, repository-wide implementation and investigation.

For a content-heavy learning platform, prioritize reliable content workflows and review over flashy scaffolding.

Tool capabilities overlap and change.

Start by asking which part of your workflow is actually difficult: layout, data logic, testing, or repository navigation.

Use a visual builder for an early screen if it helps, then move the durable code and requirements into your repository.

Do not add a second paid tool merely because someone recommends it.

Decision guide: use a strong reasoning model for planning, a fast cost-efficient model for routine coding, a capable coding agent for complex implementation, and an independent model for review. GitHub preserves branches, pull requests, checks, and project decisions. — Match the task to the approach. Open the diagram to view it full size; specific tools and models change over time.

Put it into practice

Assign one tool to the UI prototype and another to implement a small, testable scoring function. Write why you chose each.

Before you move on

Read the AI output critically. Does it match your project goal and the instructions in the prompt? Can you explain the recommendation or change in your own words? If not, ask for clarification or a smaller next step.

Save useful decisions and results in your project notes or GitHub repository. Do not treat a confident answer, generated code, or a passing check as a substitute for your own review.