Infrabase
AI DevOps Agent to catch cloud issues in pull requests
What is Infrabase? Complete Overview
Infrabase is an AI-powered DevOps agent that integrates directly into your GitHub pull requests to proactively identify and surface potential cloud infrastructure issues before they are deployed. It scans infrastructure code using deep organizational context to detect security vulnerabilities, cost spikes, and policy violations. By analyzing changes at the PR stage, Infrabase helps cloud-native teams prevent problems from ever reaching production environments. The tool is particularly valuable for DevOps engineers, cloud architects, and engineering teams at organizations with significant cloud infrastructure, offering intelligent, context-aware feedback through natural language processing. Infrabase securely indexes and learns from your codebase without storing raw code, providing risk assessments and actionable insights for every pull request.
Infrabase Interface & Screenshots
Infrabase Official screenshot of the tool interface
What Can Infrabase Do? Key Features
Organizational Context Awareness
Infrabase deeply understands your specific codebase architecture and flags changes that deviate from established in-house modules and patterns. Unlike generic scanners, it learns your organizational context to provide relevant, tailored feedback on each pull request.
Natural Language Policy Engine
Define infrastructure policies in simple Markdown without complex OPA (Open Policy Agent) configurations. This makes policy creation and maintenance accessible to entire teams, not just specialists, while still enforcing rigorous cloud standards.
Comprehensive Risk Assessment
Provides instant, visual scoring for blast radius, cost impact, and security risk on every pull request. This at-a-glance evaluation helps teams quickly understand the potential impact of infrastructure changes before merging.
Secure Code Analysis
Infrabase indexes and learns from your infrastructure code through embeddings while never storing raw source code. This approach maintains security while enabling deep contextual understanding of your cloud architecture.
AI-Powered Review Checklists
Generates concise, actionable review checklists for each pull request using your preferred LLM (Claude, Gemini, OpenAI, or your own Bedrock model). Critical findings can be configured to block merges until resolved.
Best Infrabase Use Cases & Applications
Preventing Cost Spikes in Cloud Deployments
A development team proposes infrastructure changes that would significantly increase cloud costs. Infrabase detects the potential cost spike during PR review, allowing the team to optimize the configuration before deployment and avoid unexpected bills.
Enforcing Security Best Practices
An engineer accidentally commits infrastructure code with overly permissive IAM roles. Infrabase flags the security violation against organizational policies during code review, preventing a potential security exposure before it reaches production.
Maintaining Architectural Consistency
A new team member unfamiliar with company patterns proposes infrastructure that deviates from established modules. Infrabase identifies the inconsistency and suggests the proper in-house module to use, maintaining architectural standards.
How to Use Infrabase: Step-by-Step Guide
Install the Infrabase GitHub App and connect it to your repositories. This seamless integration requires minimal setup and immediately begins monitoring your selected repos for infrastructure changes.
Select which repositories you want Infrabase to monitor. The tool will securely index and learn from your infrastructure code to build deep contextual understanding without storing raw code.
Define your infrastructure policies using simple Markdown rules. These natural language policies replace complex OPA configurations, making it easy to enforce organizational standards.
Review pull requests with Infrabase's intelligent feedback. The AI agent automatically analyzes each PR, providing risk scores, cost estimates, and security assessments alongside generated review checklists.
Configure merge blocking for critical findings. Set thresholds to automatically prevent merging of PRs that violate key policies or exceed risk tolerances, ensuring only safe changes reach production.
Infrabase Pros and Cons: Honest Review
Pros
Considerations
Is Infrabase Worth It? FAQ & Reviews
Like any GitHub App, Infrabase can access code of the repos it's installed into, but we do not store your raw code. For context, repos are indexed and resulting embeddings are stored, but not the original source code.
No, Infrabase does not share your code with third-party model providers. The tool maintains strict data privacy and security protocols to protect your intellectual property.
Infrabase supports Claude, Gemini, and OpenAI models by default, with the option to use your own Bedrock model for organizations with specific requirements or preferences.
Analysis typically completes within seconds of a PR being opened or updated, providing near-instant feedback to developers without slowing down the development workflow.
Currently, Infrabase is exclusively available as a GitHub App. Support for other version control systems may be added in future updates based on user demand.