Introduction
If you've ever used an AI IDE and thought, "That's not what I meant," you're not alone. The gap between what you imagine and what the AI produces often comes down to one thing: how you write your prompts.
AI coding assistants like Antigravity are remarkably capable, but they're not mind readers. The way you frame a request can make the difference between a polished, production-ready implementation and something you'd rather throw away. Here are seven techniques that consistently produce better results.
1. Lead with Context
Before asking the AI to write anything, set the stage. Rather than jumping straight to "build me a login form," describe your project's architecture, the frameworks you're using, and who the end users are.
For instance: "This is a SaaS app built with Next.js 15 using App Router. We use shadcn/ui for components and Tailwind for styling. Create an email/password login form that follows our existing component patterns."
Antigravity already reads your project files for context, but being explicit about your setup gives the AI a clearer picture and leads to more accurate output.
2. State What You Don't Want
AI assistants try to be helpful, which sometimes means they do too much. If you want to keep things lean, say so explicitly. "Don't add any new dependencies." "Don't change the existing API structure." "Don't use inline styles."
This is especially valuable during refactoring. A prompt like "Improve readability without changing behavior" draws a clear boundary that prevents the AI from introducing unintended side effects.
3. Specify the Output Format
"Write tests" is vague. "Write unit tests using Vitest, structured with describe/it blocks, each test case commented with its purpose" is not. The more specific you are about the shape of the output, the closer the result will be to what you actually need.
The same applies to code reviews. Instead of "review this code," try: "Review this code from three angles—security, performance, and readability—and list specific improvements for each."
4. Break Complex Tasks into Steps
Asking an AI to build an entire feature in one shot often leads to inconsistencies. Instead, break the work into stages: start by discussing the design, then define data models, implement API endpoints, and finally build the frontend.
This step-by-step approach lets you verify quality at each stage before moving on. With Antigravity's multi-agent capabilities, you can even assign different steps to separate agents for parallel execution.
5. Provide Reference Code
Telling the AI "follow the same style as this file" or "use the same pattern as this function" gives it a concrete example to match. This is one of the most effective ways to maintain consistency across a codebase.
The technique extends beyond code. If you need API documentation, show the AI an existing doc and say, "Add documentation for the new endpoint using this same format." The result will align with what you already have.
6. Ask for Reasoning Before Code
Before the AI starts writing code, ask it to think first. "List three possible approaches for this feature, and explain the trade-offs of each" forces the AI to consider alternatives rather than jumping to the first viable solution.
This is particularly useful for architectural decisions. Getting the AI to justify its choices upfront helps you catch potential issues before they become expensive to fix.
7. Give Specific Feedback
When the AI's output isn't quite right, resist the urge to say "make it better." Instead, be precise: "The error handling is too broad—distinguish between network errors and validation errors, and handle each with a specific user-facing message."
Concrete feedback gives the AI a clear direction for improvement. Vague feedback sends it guessing, and the next iteration may not be any closer to what you want.
Conclusion
AI IDEs are powerful, but they respond to the quality of your input. By providing context, setting constraints, working in stages, offering reference examples, and asking for reasoning, you can dramatically improve the code these tools produce.
As AI coding assistants like Antigravity continue to evolve, the skill of writing effective prompts will remain one of the most valuable tools in any developer's toolkit. Start practicing these techniques today, and you'll notice the difference immediately.