INDUBITABLY.AI

AI-powered code reviews that work where you work. Built on our fork of OpenAI's open-source Codex agent harness. Tag @indubitably on any GitHub or GitLab PR for instant, intelligent feedback.

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Launching Q1 2026 • Open-Source Codex Agent Harness • Transparent Pricing

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

Hidden Costs of Code Review Tools

You have no idea what you're actually paying. Per-seat pricing scales badly. Token usage is a black box. Vendor lock-in makes switching expensive.

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Code Reviews That Work Anywhere

Simply tag @indubitably in any GitHub or GitLab comment. Get instant, intelligent code reviews powered by our fork of OpenAI's open-source Codex agent harness (Apache 2.0), running on AWS Bedrock. Choose any underlying model—Claude Sonnet, Opus, or any AWS Bedrock-supported model. You control quality and cost. Complete transparency on every token used.

PLATFORM_CAPABILITIES
STATUS:
COMING_Q1_2026
AGENT_HARNESS:
CODEX_FORK
PLATFORMS:
GITHUB_GITLAB
INFRASTRUCTURE:
AWS_BEDROCK

Tag @indubitably Anywhere

Works in GitHub PR comments, GitLab MR threads, and our web dashboard. Ask questions or request full code reviews.

Choose Your Model, Control Your Costs

Our Codex fork on AWS Bedrock lets you pick any supported model for inference—Claude Sonnet 4.5, Opus 4.5, or dozens of others. Use budget models for routine reviews, premium models for critical code.

Complete Cost Transparency

See input tokens, output tokens, and cached tokens for every review. Choose cheaper models to save money or premium models for best results. We pass through AWS Bedrock costs plus a small service fee.

Works Where You Work

Web dashboard, GitHub, GitLab, and coming soon to iOS. Review code from anywhere on any device.

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 →

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

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COMMON_QUESTIONS

Frequently Asked Questions

How does @indubitably tagging work?

Simply mention @indubitably in any GitHub PR comment or GitLab MR thread. Our AI reads the context, analyzes the code changes, and responds with intelligent feedback. You can ask specific questions or request a full code review.

How much does a typical code review cost?

Pricing is transparently based on actual AWS Bedrock usage—you only pay for the tokens you use. Every code review shows the exact cost breakdown: input tokens (code being reviewed), output tokens (review feedback), and cached tokens (previously seen code). You choose any model AWS Bedrock offers (Claude, Llama, Mistral, and more) to control both quality and cost. Most reviews cost just a few cents. Schedule a demo to discuss pricing for your team's needs.

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. Our Codex fork on AWS Bedrock understands code context, dependencies, and best practices across any language. Premium models offer more detailed analysis and deeper insights, while budget-friendly models handle routine reviews efficiently. You choose the model that fits your needs.

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 makes your pricing transparent?

Every code review shows exactly what it cost: input tokens, output tokens, and cached tokens. You choose the underlying model (Claude Sonnet, Opus, etc.) to control costs—budget models for routine reviews, premium models for critical code. You pay AWS Bedrock inference costs plus our small service fee. No hidden charges, no per-seat pricing.

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 4.5, Opus 4.5, or any other Bedrock-supported model. Different models have different costs and 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.

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Schedule a Demo

See how @indubitably can transform your code review process. Launching Q1 2026.