Skip to main content
Software Development

AI Agents That Review Code, Write Tests, and Ship Faster

AI agent crews that give every pull request a thorough code review, generate missing tests, and enforce engineering standards — without slowing down your team.

Try it free All use cases

How It Works

6-step automated workflow

This is the workflow FleetQ executes automatically. Every step is configurable — add approval gates, swap agents, or extend with your own tools.

Sound familiar?

These are the bottlenecks that FleetQ's AI agent crews are designed to eliminate.

  • Code reviews create bottlenecks — PRs sit waiting for senior engineers who are already stretched.
  • Test coverage is inconsistent across the codebase because writing tests is time-consuming and often deprioritised.
  • Engineering standards and best practices drift as teams grow and onboarding is informal.
  • Context switching between writing code and reviewing others' work kills developer deep work time.

With FleetQ agent crews

  • 70%
    Faster PR review
    AI first-pass review reduces time before human engineer review.
  • 3×
    More test coverage
    Test Generator Agent fills gaps automatically on every PR.
  • 0
    Missed style issues
    Every PR checked against your engineering standards consistently.
70%
Faster PR review
AI first-pass review reduces time before human engineer review.
3×
More test coverage
Test Generator Agent fills gaps automatically on every PR.
0
Missed style issues
Every PR checked against your engineering standards consistently.

Platform Capabilities You'll Use

Each feature below plays a role in this use case. Click to learn more or start building immediately.

Signal Connectors

Trigger workflows from GitHub/GitLab webhooks.

AI Agent Crews

Review, Test Generation, and Docs agents in sequence.

Skills Library

Encode your engineering standards as reusable skills.

Approval Gates

Engineer sign-off required before any merge action.

MCP Tool Integration

Connect to GitHub APIs, CI systems, and code analysis tools.

Outbound Connectors

Notify teams via Slack, Telegram, or email.

Frequently Asked Questions

Common questions about using FleetQ for software development automation.

Any platform with webhook support — GitHub, GitLab, Bitbucket, and Azure DevOps. The webhook connector receives the PR event and the agent crew takes it from there.

Yes. Create a "Engineering Standards" skill with your team's rules. The Review Agent uses this skill to check every PR against your specific guidelines, not just generic best practices.

Any language that the underlying LLM understands — including Python, JavaScript/TypeScript, Ruby, Go, Java, PHP, Rust, and more. The skill defines the language context.

Yes, the approval gate catches this. The Test Generator Agent's output goes through engineer sign-off before any code is committed. The agents assist, they don't bypass your process.

Absolutely. FleetQ is open source and self-hostable. Your code never leaves your infrastructure — agents access GitHub/GitLab via API tokens that you control.

Related Use Cases

Teams that automate software development also use FleetQ for these workflows.

Data Research

AI agent crews that watch your competitive landscape, aggregate data from dozens of sources, and del...

Explore use case
Compliance Monitoring

AI agent crews that continuously monitor regulatory changes, classify risk events, escalate findings...

Explore use case
Content Marketing

Deploy a crew of specialised AI agents that research topics, write drafts, apply your brand voice, a...

Explore use case

Build your first Software Development workflow today

FleetQ is open source, MIT licensed, and runs on your infrastructure. Start free with no credit card.

Get started free View all use cases