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Aviator

Remote agentic environment

Multiplayer AI for code migrations and product backlogs

Multiplayer spec-driven development. Plan, share, and execute reusable Runbooks across teams.

From startups to Fortune 500s, the world's most effective engineering teams supercharge their developers with Aviator.

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Assign coding tasks from Slack

Convert Slack messages into executable coding tasks with background agents that research, plan, and deliver production-ready code.

  • Spec-driven execution: every task generates a detailed Runbook spec
  • One-click PRs: go from a single Slack message to a reviewable PR
  • Auto-scale infra: ephemeral agent instances spin up on-demand
  • Real-time visibility: track progress, review decisions, and reasoning

Handle review comments

Drop /aviator revise in any GitHub PR comment and the agent picks up the feedback, edits the code, and posts a summary of changes.

  • Automate review cycle: close review loops 3× faster with Runbook agents
  • Context-aware: learns from mistakes, maintains centralised context
  • Intelligent updates: targeted fixes while preserving code quality

CI failures

Auto-detect, analyse, and resolve CI failures across your pull requests with agents that understand your test suite and infrastructure.

  • Root cause analysis: agents automatically parse build logs and test output
  • Intelligent fixes: targeted fixes for flaky tests, dependency conflicts, and infra errors
  • Learn from patterns: agents capture recurring failure in reusable context
  • Push fixes directly: pull request updated with clear explanations of what was fixed

Triage issues automatically

Streamline issue management with agents that assess, ask clarifying questions, and assign issues to background agents to plan and execute.

  • Smart triage workflow: categorise issues by type, severity, and affected components
  • Clarification loops: agents ask reporters targeted clarifying questions
  • Automated task breakdown: convert complex issues into executable Runbook specs
  • Background execution: agents investigate, propose solutions, and create draft PRs

Try a demo now

Walk through Aviator Runbooks at your own pace — no signup required.

Use Cases

For engineering teams working on shared, evolving codebases, Aviator’s context-aware Runbooks help standardise AI-development without compromising on quality.

Ready to scale your AI coding adoption?

Transform scattered processes into reliable, collaborative Runbooks.

How it works

Collaborative reusable Runbooks for planning. Remote sandbox environments for execution.

STEP 01CloudORInstallSelf-host or use Aviator CloudSTEP 02ORDefinePick from the library or chat to createSTEP 03ProvisionSandbox analyzes code and asks questionsSTEP 04app.aviator.co/runbooksReact class → hooksRUNNINGResearch · 24 filesPlan generatedExecute · step 2 / 5Review stacked PRsRunAgents execute each step end-to-endSTEP 05#4823Add cursor paginationREVIEWReviewEach step opens a stacked PR for reviewSTEP 06MERGEQUEUEMergeLand changes via the MergeQueueSTEP 07AJSTShareInvite teammates to run alongside youSTEP 08LIBRARYYOURSForkPublish to the library for others to reuseSTEP 09++EvolveFeedback continuously refines the runbook
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