From Copilot to Co-Founder: How Antigravity 10x's Any Workflow

From Copilot to Co-Founder: How Antigravity 10x's Any Workflow

When Andrew Ng discussed Agentic Workflows, he highlighted a crucial shift: we are moving from "Zero-Shot" prompting (asking AI to do something once) to iterative workflows where AI plans, critiques, and improves its own work.

This is the philosophy behind Antigravity. It isn't just a coding assistant that suggests the next line of JavaScript. It is a reasoning engine capable of "Cognitive Orchestration."

Whether you are in DevOps, Marketing, or Product, applying these agentic patterns can exponentialize your output.

Beyond Syntax: The Four Patterns of Agency

To truly 10x your workflow, you need to move beyond simple prompts. You need to leverage the four design patterns of effective agents:

1. Reflection: The agent critiques its own output.
2. Tool Use: The agent knows when to use a CLI, search the web, or read a file.
3. Planning: The agent breaks a complex goal into a sequential task list.
4. Multi-agent Collaboration: Different "personas" (e.g., specific prompts) working together.

Example 1: The "Marketing Engineer" (Recursive Improvement)

Let's look at how we write these blog posts. We don't just say "Write a post." We use a recursive workflow:

• Step 1 (Research): Agent browses the web for 2025 DevEx trends.
• Step 2 (Draft): Agent creates an outline.
• Step 3 (Critique): Agent is prompted to "Act as a moody Senior Editor. Criticize this outline."
• Step 4 (Refine): Agent rewrites the outline based on the critique.
• Step 5 (Code): Agent writes the markdown and runs GTM Toolkit to verify SEO.

For Marketers: This is like having an infinite number of interns drafting revisions for you overnight. For Developers: Think of this as a "Pull Request" review, but the reviewer is an AI agent that fixes its own comments.

Example 2: The "Walking Skeleton" (Infrastructure as Code)

Setting up a new project is tedious. It requires mental energy but little creativity. This is perfect for an agent.

Instead of spending 4 hours configuring Eslint, Tailwind, and Supabase, we give Antigravity a "Constitution":

"Create a new Next.js project. Use the T3 Stack ideology. implementing Trpc, Prisma, and NextAuth. Create a 'Hello World' API route. Do not ask for permission until the server is running."

(Note: The T3 Stack is a popular "starter pack" for modern web development. It forces you to make decisions early so you can move fast later.)

The agent acts as a Senior Architect. It plans the folder structure, installs dependencies, and fixes its own bugs if npm install fails.

The "Second Brain" for Agents

Productivity guru Tiago Forte coined the term "Building a Second Brain" (BASB) for humans. We apply this to agents.

Our agents have access to a persistent brain/ directory (artifacts).

• task.md: The agent's short-term memory (RAM).
• implementation_plan.md: The agent's strategic vision (Long-term storage).
• walkthrough.md: The agent's proof-of-work.

By forcing the agent to externalize its state into these files, we make the workflow interruptible and collaborative. I can leave for the weekend, come back, read task.md, and know exactly where the agent left off.

Conclusion: It's Not About Typing Faster

If you treat AI as a tool to type faster, you are getting a 20% productivity boost. If you treat AI as an Agent that can plan, reflect, and execute, you unlock the 10x potential.

Stop prompting. Start orchestrating.