Upgrading Antigravity

"Suggest an upgrade for Google Antigravity."

Based on your interest in DevOps, Platform Engineering, and 2026-era agentic tools, I assume you are referring to Google Antigravity, the agent-first IDE powered by Gemini 3 (currently in preview as of late 2025).

Since Antigravity is already a "cutting-edge" tool designed to replace traditional coding with autonomous agents, an "upgrade" here likely means enhancing its capabilities to handle more complex Platform Engineering tasks, or moving to a more mature workflow if the preview limitations are slowing you down.

Here are specific upgrades you can apply to your Antigravity setup: 1. The "Connectivity" Upgrade: Implement MCP Servers

The biggest limitation of out-of-the-box Antigravity is that the agent is isolated from your actual data. You can "upgrade" its intelligence by connecting it to your live infrastructure using the Model Context Protocol (MCP).

   Why: Instead of just writing code, the agent can actively query your databases or check cloud resource states to verify its own work.

   How:

       Database: Install the AlloyDB or PostgreSQL MCP server. This allows the agent to run SQL queries to validate schema changes it just wrote.

       Observability: Connect a Prometheus or Google Cloud Monitoring MCP. This enables the agent to "check the logs" autonomously after deploying a fix to see if error rates actually dropped.

2. The "Workflow" Upgrade: Parallel Agent Orchestration

Stop using Antigravity like a chatbot (linear request/response). Upgrade your workflow to "Manager Mode."

   The Setup: Open the Agent Manager (Mission Control view) and spawn two distinct agents for a single ticket:

       Agent A (Builder): Tasked with implementing the Terraform/OpenTofu changes.

       Agent B (Auditor): Tasked with reviewing Agent A's work against a specific policy file (e.g., "Check for public S3 buckets").

   Benefit: This mimics a CI/CD pipeline locally. You don't merge until Agent B signs off on Agent A's work.

3. The "Brain" Upgrade: Force "Planning Mode"

By default, Antigravity often defaults to "Fast" mode for speed. For Platform Engineering (where mistakes are expensive), you should force the Planning Mode for every task.

   Action: When prompting, explicitly request a "Verification Plan" as the first artifact.

   Prompt Upgrade: "Don't just write the script. First, generate a plan that details how you will verify this works without human intervention using the available browser/terminal tools."

   Result: This forces the model to use its "Reasoning" capabilities (Gemini 3 Pro) to hallucinate less and verify more.

4. The "Hardware" Upgrade: Local LLM Offloading

If you are hitting rate limits or latency with the cloud-based Gemini 3 Pro models, upgrade your local environment to handle hybrid inference.

   Tooling: specialized extensions (often community-maintained in the preview phase) that allow Antigravity to route simple tasks (like syntax checking or boilerplate generation) to a local model (like Gemma 2 27B running on your own GPU) while saving the heavy reasoning for the cloud.

   Note: This requires a machine with significant VRAM (e.g., NVIDIA RTX 5090 or Mac Studio M4 Ultra), but it drastically speeds up the "agentic loop."

5. The "competitor" Upgrade (If Antigravity is too unstable)

If you find Antigravity's "preview" status too buggy for production work, the immediate "stable" upgrade is Cursor with the Composer feature.

   Why: While Antigravity is "Agent First" (autonomous), Cursor is "Human First with Superpowers." It is currently more reliable for large-scale refactors where you need to maintain tight control over the context window.

   Recommendation: Keep Antigravity for "greenfield" experiments (new services, prototypes) where the agent can run wild. Use Cursor for maintaining your legacy "brownfield" infrastructure where precision beats autonomy.