Vibe coding without the gamble: MCP, tests, and quality control
AI can write code faster than a team, but it cannot define task boundaries, accept risk, or prove the result is ready on its own. A workable approach begins with a controlled environment, before the prompt.
- Essence
- AI coding is useful as a fast executor within short, verifiable tasks.
- Risk
- The model confidently expands the scope of changes, repeats vulnerable patterns, and treats a green screen as proof of quality.
- Action
- Separate context, permissions, and completion criteria; put every change through tests, diff review, and an independent check.