Remote Agents
The Remote Agentic Environment enables autonomous code changes through AI-powered agents that collaborate with development teams. This platform allows developers to create, manage, and execute Runbooks that define complex code transformations across repositories.
How it works
A workflow typically looks like the following:
Share the requirements with the planning agents
Agents review the code, scan through documentation to prepare a Runbook
Invite other users to collaborate on the Runbook
Execute specific step or assign it to the other users
Agents create pull requests, verifies the build steps
User provides feedback, agents iterate on the results
PRs are merged after review and verification by the user
Agents memorize the context and the Runbooks for future use.
Aviator Agents at a glance
Intelligent agents powered by Claude or Gemini models
Agents analyze codebases and identify improvement opportunities
All modifications are created as small, reviewable PRs
Multiple developers can work together on Runbooks
Available as cloud-managed or on-premise installation
Coding with Agents
There are 3 core workflows within Aviator Agents
Planning - collaborate with the agents to work on a Runbook
Execution - let agents dry run, execute independent steps or all at once
Review - provide feedback via pull requests to iterate with the agents
Prerequisites
Access to the Remote Agentic Environment dashboard (on-premise or cloud)
GitHub account with appropriate repository permissions
Supported LLM API credentials (Claude or Gemini). Also supports Bedrock and Vertex.
Use cases
Although Agents framework can handle most types of engineering tasks, they do well specifically with:
Simple well defined features
UI improvements
Bug fixes
Refactoring
Code migrations
Test coverage improvement
Improving readability
Dependency graph simplification
Flaky test resolution
Learn more
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