Factory
What is Factory?
Factory is an agent-native software development platform built around Droid, an AI development agent that works across the software development lifecycle. It supports coding, testing, code review, documentation, incident response, and deployment workflows through desktop, web, CLI, SDK, and cloud environments. Developers and engineering organizations can choose among multiple AI models, configure autonomy levels, and connect Factory to repositories, IDEs, communication tools, and enterprise systems. Its key differentiators are model independence, deployment options spanning SaaS, hybrid, on-premises, and air-gapped environments, and controls designed for enterprise software teams. Factory also provides APIs and analytics for integrating agent sessions, persistent computers, usage data, and productivity metrics into internal workflows.
How to use Factory?
1. Create a Factory account and install the desktop app or Droid CLI; 2. Connect a repository, choose a model and autonomy level, then describe a coding, testing, review, or documentation task; 3. Inspect the generated changes or findings, run verification steps, and approve, commit, or merge the resulting work.
Factory's Core Features
Droid AI Development Agent: Delegate coding, debugging, refactoring, testing, and documentation tasks through natural-language instructions.
Desktop and CLI Access: Work with the same development agent from the Factory App, terminal, web interface, or supported IDE.
Headless Droid Exec: Run structured, non-interactive agent tasks in scripts, CI/CD pipelines, and custom applications.
Model Independence: Select from available AI models and route different engineering tasks to suitable models.
Autonomy Controls: Set approval levels, command policies, sandbox rules, and deny lists to control what agents can execute.
Automated Code Review: Analyze changes for quality and security issues, then provide review findings and suggested fixes.
Droid Shield: Detect potential secrets and sensitive credentials before AI-generated changes are committed or pushed.
Droid Computers: Use persistent managed cloud environments or connect Factory to your own workstation, VM, VPS, or on-premises machine.
Workflow Integrations: Connect engineering context from tools such as GitHub, GitLab, Slack, Jira, Notion, Linear, and PagerDuty.
Enterprise Deployment: Deploy Factory through SaaS, hybrid, on-premises, or air-gapped environments with administrative and compliance controls.
Analytics API: Query organization-level token usage, tool activity, user activity, productivity data, and session metrics programmatically.
AutoWiki Documentation: Generate structured, browsable documentation that updates as the codebase changes.
Factory's Use Cases
- #1
Software teams delegating feature implementation and bug fixes from a local repository
- #2
Engineering managers automating code review and security findings across pull requests
- #3
Developers using AI to investigate failing tests, explain unfamiliar code, and propose fixes
- #4
Platform teams running headless Droid sessions inside GitHub Actions, GitLab, or internal CI pipelines
- #5
Organizations generating and maintaining repository documentation with automated codebase analysis
- #6
On-call engineers turning Slack alerts into root-cause analysis and incident-response sessions
- #7
Enterprise teams governing AI coding workflows with SSO, audit logging, sandboxing, and autonomy controls
Frequently Asked Questions
Analytics of Factory
Monthly Visits Trend: Jun 2025 - Jul 2026
Traffic Sources
AI Channel Traffic Trends
Top Regions
| Region | Traffic Share |
|---|---|
| United States | 32.52% |
| India | 9.50% |
| China | 7.04% |
| United Kingdom | 5.78% |
| Vietnam | 2.94% |
Top Keywords
| Keyword | Traffic | CPC |
|---|---|---|
| factory ai | 22.7K | $2.20 |
| factory droid | 4.6K | $2.91 |
| factory | 75.9K | $0.72 |
| droid | 25.6K | $4.93 |
| droid ai | 2.4K | $5.41 |
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