Automatic Reviews
Install our GitHub app, configure your repositories, and get automatic code reviews on every pull request. No manual tagging needed.
INDUBITABLY.AI
Automatic code reviews on every PR with full codebase context. Install our GitHub app and get AI-powered reviews instantly. Built on our fork of OpenAI's open-source Codex agent harness.
Join the Waitlist
Launching Q1 2026 • Full Codebase Context • Open-Source Foundation
PROBLEM_STATEMENT
THE CHALLENGE
ISSUE_001
Code Reviews Taking Too Long
PRs sit for days waiting for review. Your team is shipping slower. Developers context-switch constantly between writing code and reviewing.
ISSUE_002
Inconsistent Review Quality
Some reviews catch everything. Others rubber-stamp. Bugs slip through because reviewers are tired or rushed. Standards vary by who's reviewing.
ISSUE_003
Reviews Without Full Context
Most AI review tools only see the diff. They miss how changes affect the rest of your codebase. Without full context, reviews catch syntax but miss architecture.
PRODUCT_LAUNCH
LAUNCHING_Q1_2026
Code Reviews That Work Anywhere
Install our GitHub app, configure which repositories to monitor, and get automatic code reviews on every pull request. Our agentic review downloads your entire repository and analyzes the diff with full codebase context—not just the changed lines. Tag @indubitably-ai for follow-up questions. Built on our fork of OpenAI's open-source Codex agent harness (Apache 2.0), running on AWS Bedrock.
PLATFORM_CAPABILITIES
STATUS:
COMING_Q1_2026
AGENT_HARNESS:
CODEX_FORK
PLATFORMS:
GITHUB_GITLAB
INFRASTRUCTURE:
AWS_BEDROCK
HOW_AGENTIC_CODE_REVIEW_WORKS
Choose Your Model
Our Codex fork on AWS Bedrock lets you pick any supported model for inference—Claude Sonnet, Opus, or dozens of others. Use faster models for routine reviews, more thorough models for critical code.
Full Codebase Context
Our agent downloads your entire repository. It reviews the diff with full context of your codebase—not just the changed lines. Understands how your changes affect everything else.
Ask Follow-Up Questions
Tag @indubitably-ai in any comment to ask follow-up questions about the review. Get clarification, request changes, or dig deeper into specific issues.
OPEN_SOURCE_FOUNDATION
Built on Open-Source Foundations
Indubitably.ai is built on OpenAI's open-source Codex agent harness (Apache 2.0)—giving you the confidence of transparent, well-architected foundations without vendor lock-in.
OpenAI Codex Agent Harness
We build on OpenAI's Codex CLI (Apache 2.0), the open-source agent harness released in April 2025. This proven foundation orchestrates AI models to perform complex code analysis workflows—transparent architecture you can trust.
View OpenAI Codex on GitHub →No Vendor Lock-In
Building on open-source foundations means you're never locked in. Choose any AWS Bedrock model for inference. Your infrastructure, your control, your data sovereignty. Open architecture without proprietary dependencies.
Our Open-Source Tools
We also build and maintain open-source libraries and tools for developers building in the cloud.
View indubitably-code on GitHub →ABOUT_FOUNDER
Built by Someone Who Gets It
After 15 years building and writing software for enterprise companies code reviews are the most common bottleneck for large organizations. You want code to be reviewed by senior engineers to catch mistakes, maintain quality, and hopefully keep things running smoothly but their time and attention is limited. I built Indubitably.ai and our code review platform to be the tool I need to scale out my time and attention. I hope you find as much value from it as I do and hope your team can use it to ship software with confidence.
SIGNED
GREG PAZO
CEO, INDUBITABLY.AI
15 Years in AWS
Deep expertise in cloud infrastructure at enterprise scale
Battle-Tested
Built for the challenges of real distributed systems
Customer-Driven
Building what developers actually need, not what we think they want
Latest Insights
Explore our latest thoughts on AI and technology
COMMON_QUESTIONS
Frequently Asked Questions
How do automatic code reviews work?
Install our GitHub app on your organization or account, then configure which repositories to monitor. When a pull request is created, our agent automatically downloads your entire repository and reviews the changes with full codebase context. Reviews appear as comments on your PR within seconds. Tag @indubitably-ai for follow-up questions.
How is this different from other AI code review tools?
Most AI code review tools only see the diff. Our agentic approach downloads your entire repository and reviews changes with full codebase context. This means we catch issues that require understanding how your changes affect the rest of the system—not just syntax errors in the changed lines.
What programming languages are supported?
Indubitably.ai supports all major programming languages including Python, JavaScript, TypeScript, Java, Go, Rust, C++, C#, Ruby, PHP, Swift, Kotlin, Scala, and 50+ others. Because we download your full repository, the AI understands your project structure, dependencies, and coding patterns regardless of language.
How long does a code review take?
Most code reviews complete in under 1 minute, with an average of ~45 seconds. Response time varies by PR size and complexity: Small PRs (100-200 lines) take 30-45 seconds, medium PRs (300-500 lines) take 45-60 seconds, and large PRs (800-1000+ lines) take 60-90 seconds. Faster models complete reviews more quickly, while more thorough models take slightly longer. Reviews appear as GitHub/GitLab comments as soon as processing completes.
What do you mean by full codebase context?
When a PR is created, our agent downloads your entire repository—not just the diff. It reviews changes with full context of your codebase, understanding your architecture, coding patterns, and how the changes interact with existing code. This is fundamentally different from tools that only see the changed lines.
Does my code leave my organization?
Your code runs through AWS Bedrock in your region. We built on AWS specifically to meet enterprise security requirements. All processing happens on AWS infrastructure with enterprise-grade compliance.
What models can I use for inference?
Any model supported by AWS Bedrock. Our Codex fork works as the agent harness, and you choose the underlying model—Claude Sonnet, Opus, or any other Bedrock-supported model. Different models have different capabilities—you pick what fits your needs.
How is this different from GitHub Copilot?
Copilot writes code. We review it. Think of us as your always-available senior engineer who reviews every PR instantly. We focus on code quality, security issues, and maintainability—not code generation.
EARLY_ACCESS
Join the Waitlist
Get early access to @indubitably-ai code reviews. Launching Q1 2026.