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Productivity & Technology Tools

Di Dalam Pikiran Insinyur 40x: Bagaimana Saya Menggunakan Antigravity untuk Meningkatkan Hasil Saya

James, CEO Mercury Technology Solutions, berbagi bagaimana ia menggunakan Antigravity untuk mengelola 26 proyek secara efisien tanpa konfigurasi khusus.

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TL;DR: I use Antigravity as my powerful tool, but the principles of how I use it apply to everyone. People ask me for my secret configuration, but the truth is, I keep it default. The "secret" isn't in the settings; it's in the Workflow Architecture/ Systemic Design Mindset. Here are the 5 protocols I use daily to turn AI from a chatbot into a workforce.

James here, CEO of Mercury Technology Solutions.

I recently heavy use on AntiGravity an agentic tool that allows engineers to code, refactor, and manage files. It has become a daily driver for thousands of developers. To me, I am running 26 projects and 8 products running in parallel.

Naturally, users ask me: "James, how do you configure it? What are your secret hacks?"

My answer surprises them: "I don't. I use it out of the box."

The leverage doesn't come from tweaking the tool's config. It comes from how you orchestrate the interaction.

You don't need to be a coder to apply these principles. Whether you are writing marketing copy, analyzing data, or building software, these 5 protocols will instantly upgrade your AI workflow.

1. The "Parallel Processing" Protocol

Most people: One prompt. Wait. One Answer.

My Workflow: I run 10+ AI sessions simultaneously.

Think of it like being a Chef in a busy kitchen. You don't chop an onion, wait for it to cook, and then wash a plate.

  • Session A (Terminal): Is refactoring a backend API.
  • Session B (Browser): Is drafting the release notes for that API.
  • Session C (Terminal): Is running tests on a different module.

I am not doing the work; I am Conducting the work. Stop treating AI like a text message buddy and start treating it like a team of interns. Assign tasks in parallel and rotate your attention to unblock them.

2. The "Context File"

The Concept: Don't repeat yourself.

The Execution: In every project root, I maintains few files including ARCHITECTURE.md API.md DATABASE.md RULES.md and a README.md

These files contains our "Laws of Physics":

  • Coding Style (e.g., "Use TypeScript, no 'any' types").
  • Architecture Rules (e.g., "Business logic goes in /services").
  • Forbidden Patterns.

Every time the app starts, it reads this file first.

For Non-Coders: Create a "Brand Voice" document.

"Tone: Professional but approachable. Audience: C-Suite. Language: Traditional Chinese (Taiwan). Constraint: No fluff, bullet points only."

Paste this at the start of every session. It aligns the AI instantly, like handing an employee handbook to a new hire on Day 1.

3. The "Plan-Then-Act" Pattern

The Mistake: Asking AI to "Fix the website header."

The Result: It breaks the footer while fixing the header.

My Protocol: I force a Planning Phase.

"Don't write any code yet. Analyze the files, and tell me your step-by-step plan to fix this. Wait for my approval."

This is the difference between a rookie contractor who starts drilling holes in your wall and a Master Architect who shows you the blueprint first.

  • It lets you catch logic errors before they cost money (or time).
  • It forces the AI to "think" before it "types."

4. The "Self-Verification" Loop

The Insight: AI is terrible at being right, but surprisingly good at checking if it's wrong.

I never just ask for output. I ask for Output + Verification.

"Write the function. Then, write a test case to prove it works. Then run the test."

For Non-Coders:

"Write the marketing email. Then, act as a cynical customer and critique it. Point out any logic gaps or weak hooks. Then rewrite it based on that critique."

This forces a second pass of "Cognitive Refinement" within the model itself.

5. The "Template Library" (Shortcuts)

If I type a prompt more than three times, it becomes a template.

I don't type "Please analyze this code for security vulnerabilities and performance issues" every time.

I map it to a shortcut like /gen-doc.

Your Action:

Create a note file with your "Golden Prompts":

  • [Meeting_Summary_Protocol]: "Extract action items, owners, and deadlines. Format as a table."
  • [Tone_Check]: "Rewrite this to sound more empathetic but firm."

Conclusion: There is No "Standard Way"

I don't dictate how you use it.

Some of my team members use one window; I use ten. Some micro-manage every step; others let it run wild.

The tool is a Swiss Army Knife.

  • You can use it to open a bottle of wine (simple task).
  • You can use it to disassemble a radio (complex task).

The only wrong way to use it is to treat it like a search engine. It is not a search engine. It is an Engine for Action.

Start with these 5 protocols, and find your own rhythm.

Mercury Technology Solutions: Accelerate Digitality.

Frequently Asked Questions

What is Antigravity and how does it enhance productivity?

Antigravity is a powerful tool that allows engineers to code, refactor, and manage files efficiently. By leveraging its capabilities, users can handle multiple projects simultaneously without needing extensive custom configurations, thereby significantly enhancing their productivity.

What are the key protocols for using AI effectively in workflows?

The key protocols include Parallel Processing, Context Files, Plan-Then-Act, Self-Verification, and a Template Library. These protocols help users orchestrate their interactions with AI, turning it from a simple tool into a collaborative workforce that can handle complex tasks more effectively.

Can non-coders benefit from the principles discussed in the post?

Absolutely! The principles of workflow architecture and systemic design mindset are applicable to various fields, including marketing and data analysis. Non-coders can adapt these protocols to streamline their processes and improve their interaction with AI.

How can I implement the 'Self-Verification' loop in my workflow?

To implement the 'Self-Verification' loop, ask AI not only for the desired output but also to provide a verification process. For instance, after generating content, have the AI critique it and suggest improvements, ensuring a more refined and effective result.

What does James mean by treating AI like a team of interns?

James suggests that instead of using AI as a simple query tool, users should assign parallel tasks to it, much like managing a team of interns. This approach fosters a proactive workflow where multiple tasks are handled at once, maximizing the potential of AI in project management.