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Aviator

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AI-powered platform for collaborative coding, intelligent code review, and SDLC automation.

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Tracked since2026
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The Bottom Line

Entry price

Free plan available, paid tiers above

Biggest pro

Significantly speeds up software delivery and reduces manual effort.

Biggest con

Specific pricing details for Enterprise plans require direct contact.

TL;DR - Aviator

  • Automates SDLC with AI for faster, more reliable software delivery.
  • Includes AI coding Runbooks, intelligent code review, and robust merge queues.
  • Designed for engineering teams to scale development and improve code quality.
Pricing: Free plan available
Best for: Growing teams

What is Aviator?

Editorial review
Aviator is an AI-powered development platform designed to help engineering teams ship software faster and more reliably. It offers a suite of tools that automate various stages of the software development lifecycle, from AI-assisted coding and intelligent code review to robust merge queues and deployment management. The platform aims to reduce manual effort, improve code quality, and prevent outages by catching issues early. Key components include AI Runbooks for structured, context-aware AI coding workflows, FlexReview Teams for dynamic and intelligent code review assignments, a highly customizable MergeQueue for managing thousands of pull requests in monorepos, Stacked PRs for breaking down large changes into manageable chunks, and Releases for safe deployment and rollback management. Aviator is built for engineering teams of all sizes, from startups to Fortune 500 companies, looking to scale their development practices, enhance developer experience, and maintain high code quality and security standards. It integrates with existing CI/CD toolchains and GitHub, providing enterprise-grade features like SOC2 Type II certification, on-premise deployment options, SAML authentication, and dedicated customer support, making it suitable for organizations with stringent security and compliance requirements.

Available on: Web, macOS, Chrome

Pros & Cons

Pros

  • Significantly speeds up software delivery and reduces manual effort.
  • Improves code quality and prevents outages through intelligent automation.
  • Scales AI development practices across organizations with structured workflows.
  • Handles complex monorepo environments and high volumes of PRs efficiently.
  • Offers enterprise-grade security, compliance, and deployment options.

Cons

  • Specific pricing details for Enterprise plans require direct contact.
  • Relies on AI, which may require initial training or fine-tuning for specific team contexts.

Preview

Key Features

AI Runbooks for structured, context-aware AI coding workflowsFlexReview Teams for dynamic, AI-powered code review assignment and validationMergeQueue for intelligent batching and fault-tolerant PR merging in monoreposStacked PRs for managing dependent pull requests with one-command rebasingReleases for managing deployments, rollbacks, and cherry-picks across environmentsAutomated approval validation based on code size and riskTeam SLA management for review response timesReal-time visibility and progress tracking for AI tasks

Pricing Plans

Free Trial

Pricing checked Jun 24, 2026

Hobby

Free

  • 20k credits per month
  • Max 2 hours of sandbox time
  • Max 10 tasks per month
  • 1 parallel task
  • 1 repository
  • Manual context generation
  • Template library
  • No credit roll over

Pro

$10 / month

  • $10 is 10,000 credits
  • Parallel queue modes
  • Stack-aware merge queue
  • Customizable Pilot actions
  • Parallel Batching workflow
  • Flaky test suppression
  • APIs and webhooks
  • Email support

Enterprise

Contact us

  • Discounted bundled credits
  • Monorepo support with affected targets
  • Changesets - multi-repo dependencies
  • Custom integration
  • Priority Slack support
  • Everything in Pro and…
  • Self-hosted option
  • SAML / SCIM

Free

$0 / user per month

  • Free under 15 users
  • Stack-aware merge queue
  • Customizable Pilot actions
  • Paralel Batching workflow
  • Flaky test suppression
  • Parallel queue modes
  • APIs and webhooks
  • Community support

Pro

$12 / user per month

  • For mid-size teams
  • Parallel queue modes
  • Stack-aware merge queue
  • Customizable Pilot actions
  • Paralel Batching workflow
  • Flaky test suppression
  • APIs and webhooks
  • Email support

Enterprise

Contact us

  • For large monorepos
  • Everything in Pro and…
  • Monorepo support with affected targets
  • Changesets - multi-repo dependencies
  • Custom integration
  • Priority Slack support
  • Self-hosted option
  • SAML / SCIM

Free

$0 / user per month

  • Free under 5 users
  • Split Changelogs by services and environments
  • Track what PRs deployment status
  • One click rollbacks
  • One click Cherrypick
  • PRs verification workflow
  • Freeze deploys on schedule
  • Community support

Pro

$8 / user per month

  • For mid-size teams
  • Split Changelogs by services and environmentse modes
  • Track what PRs deployment status
  • One click rollbacks
  • One click Cherrypick
  • PRs verification workflow
  • Freeze deploys on schedule
  • Email support

Enterprise

Contact us

  • For large monorepos
  • Everything in Pro and…
  • Custom integration
  • Priority Slack support
  • Self-hosted option
  • SAML / SCIM
  • Audit logs

Free Open Source

Free

  • A free and open source CLI to create, update, review and merge stacked PRs on GitHub. No user limit.
  • Create, update, review, and merge
  • Navigate your stack
  • Split and fold branches
  • Rename branches

Reviews

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Aviator FAQ

How does Aviator support collaborative coding workflows?

Aviator facilitates collaborative coding through features like AI Runbooks for structured, context-aware AI coding, and Stacked PRs, which allow large changes to be broken down into smaller, manageable pull requests. This helps teams work together more efficiently on complex projects. Additionally, FlexReview Teams enable dynamic and intelligent code review assignments.

Which teams benefit most from using Aviator?

Aviator is designed for engineering teams of all sizes, from startups to Fortune 500 companies, that aim to scale their development practices, enhance developer experience, and maintain high code quality and security standards. It is particularly useful for organizations managing complex monorepo environments and high volumes of pull requests.

How does Aviator compare to Codiga for code review?

Aviator offers intelligent code review assignments via FlexReview Teams and integrates AI-assisted coding, whereas Codiga primarily focuses on static code analysis and code quality. Aviator also includes a highly customizable MergeQueue and Stacked PRs for managing complex development workflows, which extends beyond typical code review tools.

What kind of limitations should users be aware of with Aviator?

One limitation is that specific pricing details for Enterprise plans require direct contact with the vendor. Additionally, as an AI-powered platform, it may require initial training or fine-tuning to fully adapt to a specific team's context and coding standards.

How is Aviator priced?

Aviator is available with a free tier, offering basic functionality. For more extensive usage and advanced features, users can opt for paid plans. Specific pricing for enterprise-level features and support is available upon direct contact.

Can Aviator integrate with existing development tools?

Yes, Aviator is designed to integrate with existing CI/CD toolchains and GitHub. This allows it to fit seamlessly into current development environments while providing enterprise-grade features like SOC2 Type II certification and SAML authentication.

How does Aviator manage large volumes of pull requests in monorepos?

Aviator addresses this by offering a highly customizable MergeQueue specifically designed for managing thousands of pull requests efficiently in monorepo environments. It also supports Stacked PRs, which helps break down large changes into smaller, more manageable chunks.

Source: aviator.co

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