Self hosted AI code reviewer.

Save time on code reviews, reduce bugs, and ship the feature. Flat pricing for your entire org (not per user).

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Merge PRs faster with fewer bugs.

Smart Reviews

PR summaries & incremental reviews

Concise overviews to assist you review a PR.

PR review

Identify issues in PRs instantly

Automatically identify potential bugs and performance bottlenecks during code review. Receive actionable suggestions.

Code Security

Vulnerability scanning

SAST analysis, AI security reviews, and dependency vulnerability scanning.

Code Analysis

Contextual code analysis

Understands relationships across files with code graphs.

Debug Fast

Blame analysis for production bugs

From error logs to offending commit in seconds, not hours.

Self Hosted

Self-hosted deployment

Code is processed locally. Only relevant snippets are sent to a LLM. All on your infra.

Security-first architecture

Your code, your infrastructure. Choose your LLM provider, ephemeral data handling.

Minimal infra: 1GB RAM, 1 vCPU Linux server

Self-hosted with local SQLite. No database setup required

Temporary clones, encrypted APIs, no permanent code storage

Direct LLM API keys or via Azure foundary or AWS Bedrock

PR on Github

BlameGPT server on your infra

LLM Provider

Frequently Asked Questions

Everything you need to know about BlameGPT and self-hosted AI code reviews

Who is BlameGPT for?

Engineering teams at startups and large enterprises that want consistent, automated code quality with self-hosted control. Designed for teams handling large PRs, security concerns, and review bottlenecks.

How does the AI review work?

BlameGPT analyzes each PR with code graphs to understand relationships across files, then comments line by line on new changes. It provides incremental updates on subsequent pushes to reduce noise.

What does code security cover?

Static code analysis, AI security analyis and dependency analysis. We alert when security issues are detected in a PR and provide a dashboard for existing risk with CWE mapping.

How is data handled when self-hosted?

Everything runs on your infrastructure. We use ephermal clones, encrypted APIs, and do not store your code.

What are the system requirements when self-hosting?

A simple 1 CPU and 1 GB RAM instance that can listen to github webhooks.

Which LLMs are supported?

OpenAI API, Claude API, Azure AI Foundary (GPT) and AWS Bedrock (Claude) are supported. Choose direct API or cloud options.

Flat pricing for your entire company. Not per user. All on your infra.

BlameGPT code access for transparency. Run AI code reviews, detect vulnerabilities, debug production issues. Reduce bottleneck on your senior engineers.

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