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Proactive cost optimization

Catch Google Cloudcost waste before it ships

Ship faster. Stay optimized. Automatically on each PR.

Cloud cost waste is committed at the code level long before it shows up on a billing dashboard. AI-assisted coding increases pressure: PR volumes are up, infra changes are merging faster, and most teams have no cost guardrails between commit and production.
Rabbit Agentic is a suite of tools and AI workflows that shift-left automated Google Cloud cost optimization right into your pull requests, IDE, and coding agents, where infrastructure decisions are actually made. Optimize GCP pricing and usage to catch waste before it's deployed.
Get started with agentic optimization
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Agentic cloud cost optimization with Rabbit

Rabbit Agentic draws from Rabbit's deep Google Cloud knowledge (pricing patterns, resource relationships, and optimization heuristics) to provide 3 key features for visibility and optimization before waste hits production.

Cost-focused code review

Like having a senior GCP architect on every code review, focused on optimizing cloud cost efficiency. Rabbit analyzes the diff, posts inline comments on identified cost issues and proposed optimization, and adds a summary with the rolled-up cost delta.

Severity-rated findings

Cost estimates in specific $ impact

GitHub-native, ready-to-merge suggestions

Fully automatic, with on-demand re-runs

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Context enrichment for coding agents

Cost-aware, repo-wide context for Claude Code, Cursor, OpenAI Codex, and GitHub Copilot with GCP optimization knowledge baked in. Established best practices tailored to your environment, within your current agentic workflows.

Agentic optimization plugins with repo-wide context

Reads your entire infrastructure, not just what fits in a chat prompt

Ready-to-apply code blocks your agent can merge directly

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Recommendation Applier

Automatically turn Rabbit's recommendations into ready-to-merge pull requests. For Rabbit users, the Recommendation Applier is the proactive counterpart to PR review's reactive analysis, autonomously fixing existing waste while you stay in control.

Automated, ready-to-apply PRs implementing Rabbit recommendations

PRs include estimated savings table, recommendation links, and a clean diff

Recommendation Applier screenshot 1
Start for free

Ship fast without shipping expensive surprises.

$50M+ saved with Rabbit Automation
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Actionable, resource-level guidance

Rabbit knows Google Cloud cost optimization in depth. Instead of generic "watch your spend" flags, you get concrete, resource-level guidance from a decade of GCP optimization expertise, applied to the services your team actually uses. Tailored to your services, Rabbit Agentic:

BigQuery

Estimates query costs. Reviews how your tables, queries, and reservations are set up, and points out where partitioning, clustering, expiration, materialized views, or a different billing model would save real money.

GKE

Reads your cluster, node pool, and workload definitions to surface autoscaling gaps, oversized resources, missed Spot opportunities, and the configuration patterns that quietly keep idle capacity running.

Compute Engine

Rightsizes virtual machines and instance groups by matching workload needs to the best machine family and size, including custom machine types where they save more than the next preset up.

Cloud Run

Tunes CPU, memory, concurrency, and scaling per service so each deployment runs lean without sacrificing latency or reliability.

Cloud Storage

Checks storage classes, lifecycle rules, and version retention so cold data stops paying hot-data prices.

Cloud SQL & Spanner

Flags over-provisioned tiers, unnecessary high-availability configurations in non-production, and node sizing that no longer fits the workload.

Networking

Reviews egress patterns, load balancers, CDN coverage, and network tier choices to cut data-transfer bills and remove unused resources.

FinOps fundamentals

Checks the basics that make every other optimization stick: cost-allocation labels, commitment candidates on stable workloads, and environment-aware sizing so dev doesn't ship with prod resource counts.

Start for free

Catch and fix cloud cost issues before they reach production.

Integrate in minutes

GitHub App

Automated cost review comments directly on your PRs

1.

Visit https://github.com/marketplace/followrabbit-ai

2.

Click Add/Install to set up the app

3.

Let us know when you're done so we activate Rabbit on our side

Get started with agentic optimization

Free tier with a generous quota (~50 PR reviews). No commitment required. Integrate in minutes.
Start for free
Automated cloud cost optimization for teams at scale

Rabbit helps engineering and data teams manage and optimize cloud costs across large Google Cloud environments, without slowing down delivery.

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