Break down large tasks into small self-contained executable steps for controlled access.
Collaborate with your team on the requirements, let AI agents prepare and execute the plans. Share expertise across your team and delegate execution safely
Connect your existing CLI agents and build tools in customizable environments. Run remotely or on your infrastructure.
Runbooks automatically captures and updates context from your repositories, PR review feedback, and past code changes - creating a living knowledge base that grows with your team.
From small refactors to product backlog, Aviator’s context-aware Runbooks help standardize AI-development without compromising on the quality.
Share images or mocks to implement new UI or improve an existing UI workflow while maintaining compatibility. Break down complex design changes into manageable tasks covering component updates, styling modifications, and user experience enhancements.
Convert bug reports and stack traces into systematic debugging workflows that guide AI agents through root cause analysis. Create reproducible steps for identifying, isolating, and resolving issues while ensuring proper testing and validation.
Identify bottlenecks in compilation, bundling, and CI/CD pipelines to implement targeted performance improvements. Systematically review and update build configurations, dependency management, and caching strategies to reduce overall build duration.
Establish systematic approaches for identifying and stabilizing unreliable tests that cause CI pipeline failures. Create reproducible workflows for analyzing test failure patterns, timing issues, and environmental dependencies.
Automate tedious code migrations between frameworks, libraries, or language versions. Create step-by-step Runbooks that handle pattern matching and transformation rules. Reduce errors and save developer time on repetitive tasks.
Build Runbooks for systematic code improvements that work consistently across projects. When your team decides to break down monolithic functions or standardize architecture patterns, AI agents apply your refactoring logic everywhere it's needed.
Create Runbooks that enhance code readability through consistent formatting, improved naming conventions, and better documentation. Let AI agents apply these standards across your codebase to make it more maintainable and easier for new team members to understand.
Let agents autonomously identify areas to improve code coverage, prepare Runbooks, and write unit tests. Define the scope, exclude paths, or even explicitly ask agents to write tests. Establish repeatable processes for improving test coverage while ensuring test quality and maintaining development velocity.
Transform scattered processes into reliable, collaborative Runbooks.
Collaborative reusable Runbooks for planning. Remote sandbox environments for execution.
Self-host Aviator Runbooks in your private network or use the Cloud setup.
Pick a Runbook from the Library or create your own with a simple chat.
Aviator sets up a sandbox to analyze code, ask questions, and build a Runbook.
A Runbook has self-contained steps that agents can execute one by one
Pick a Runbook from the Library or create your own with a simple chat.
Aviator sets up a sandbox to analyze code, ask questions, and build a Runbook.
A Runbook has self-contained steps that agents can execute one by one
Pick a Runbook from the Library or create your own with a simple chat.
Aviator sets up a sandbox to analyze code, ask questions, and build a Runbook.
A vetted community for developer-experience (DX) enthusiasts.
The Hangar is a community of senior devops and senior software engineers focused on developer experience. This is a space where vetted, experienced professionals can exchange ideas, share hard-earned wisdom, troubleshoot issues, and ultimately help each other in their projects and careers.
The community includes DX leaders from Slack, LinkedIn, Doordash, Figma, Google, Docker, and many more.
We invite developers who work in DX and platform teams at their respective companies, or who are interested in developer productivity. Learn more.