Author: Google Cloud Tech - Bewertung: 10x - Views:117
Hey everyone, welcome back. Martin Omander here. Most AI tutorials show someone building a toy app from scratch in five minutes. That’s neat, but it’s not reality when you're working on a massive, living enterprise codebase.
Following up on our last planning video, this one is all about how to safely let Antigravity 2.0 loose to write, test, and refactor code inside complex, existing systems. To keep myself in the right managerial mindset, I treat the agent like a digital intern (represented by my physical stand-in, Ducky).
Here are the 7 practical tactics that moved me from "prompting" to actually managing an agent effectively:
* 1. Encoding practices into skills: Baking your team's exact standards (like TDD) directly into the agent's DNA.
* 2. Committing the paper trail: Saving agent-generated implementation plans straight to your Git branch for better team context.
* 3. The test-and-tea workflow: Setting up an automated self-correction loop where the agent runs your tests and fixes errors completely on its own.
* 4. Giving the agent eyes: Using a headless local browser to catch broken layouts and misaligned UI before a human ever looks at it.
* 5. Offload the clock: Utilizing async background tasks so heavy integration suites don’t freeze your workspace.
* 6. Visualizing the architecture: Using the built-in Mermaid diagram viewer to instantly spot tight coupling or layering violations.
* 7. Pre-review and refactor: Running automated verification checks to catch code smells before submitting a PR, taking the load off human reviewers.
With an agent handling the heavy lifting, I spend nearly 50% of my development time just ruthlessly refactoring to make the code as clean as humanly possible.If you’re running Antigravity 2.0 or similar agents on an established codebase, how are you structuring your workflows? Drop your favorite tricks or bottlenecks in the comments! I read every single one.
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Speakers: Martin Omander
Products Mentioned: Gemini, Antigravity
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