Фабрика

Factory Key Insights

What is Factory?

Фабрика е AI software development platform built around coding agents called Droids. A Droid can read a codebase, plan a task, edit files, run commands, test changes, review diffs, and continue work across the Factory App, CLI, browser, mobile access, and connected work systems. The product is designed for developer productivity, software delivery automation, and team level control rather than autocomplete alone.

Factory features include model choice, Missions for large projects, custom subagents, MCP, skills, hooks, plugins, automated code review, QA, incident response, and agent analytics. For a business, the value is the ability to delegate more of the software lifecycle while keeping permissions, model policy, data boundaries, and human approval under control. It is a productivity tool and business automation layer for engineering teams.

Key Features of Factory

Droids Across App CLI And IDE

Droid is the core Factory agent. It can run from the Factory App, Droid CLI, web sessions, remote computers, or an editor terminal. Dedicated integrations cover VS Code family editors, JetBrains products, and Zed, while terminal use also works with Vim and other editors. This avoids forcing a team into one proprietary editor. Developers can keep existing Git, test, and shell habits while using the same agent runtime across several work surfaces.

Multi Model Choice And Factory Router

Factory is strongly model independent. It offers models from OpenAI, Anthropic, Google, xAI, and several open model providers. Current listings include GPT 6 models, Claude 5 models, Gemini, Grok, and a Droid Core pool. Factory Router can select models by task, while developers can choose directly. Custom endpoints and own API keys are supported. This gives teams more control over cost, reasoning depth, and model policy as coding models change.

Factory Missions For Large Projects

Missions handle work that is too large for one linear agent session. A developer starts with a goal, agrees on a plan, then lets Droid coordinate milestones and worker tasks with validation during execution. Missions run in the CLI or Factory App. They are useful for migrations, broad refactors, and multi feature projects because the work stays under one plan instead of being split across unrelated chats that later need manual reconciliation.

Skills Plugins Hooks And MCP

Factory can be adapted through Skills, Custom Droids, Hooks, Plugins, MCP, and managed connectors. Skills package repeatable procedures. Custom Droids act as focused subagents. Hooks run deterministic shell actions at agent lifecycle events. Plugins can bundle commands, tools, and agent behaviour.

Native connectors bring services such as Slack, Linear, Jira, понятие, Sentry, and Google Workspace into sessions. Platform teams can turn internal engineering practice into reusable agent instructions and controls.

Automated Review QA And Incident Work

Software Factory workflows cover triage, local review, automated pull request review, security review, QA, documentation, release work, and incident response. Droid Control can operate terminal, browser, and desktop interfaces to verify behaviour and capture evidence.

AutoWiki can create and refresh repository documentation. Remote delegation from Slack, Linear, or Jira also lets teams start work outside the среда за кодиране. This makes Factory useful for the work surrounding code generation, not only writing code.

Enterprise Security And Deployment Control

Droid reads the live filesystem and does not require a static cloud copy of the repository. Enterprise customers can use cloud managed, hybrid, EU resident, or fully airgapped patterns.

Controls include command policy, hooks, filesystem and network sandboxing, Droid Shield secret scanning, model allowlists, connector policy, identity management, audit events, and telemetry. Factory lists SOC 2 Type II, ISO 27001, and ISO 42001. Business also includes zero data retention.

Factory Pricing Plans

Factory keeps individual plans separate from team and enterprise plans. The current public prices are straightforward at the entry level, but usage is controlled through rolling limits rather than one fixed token pool.

Individual usage runs across separate five hour, seven day, and thirty day windows. Factory also provides Droid Core, a separate open model pool that can remain available under its own limits after standard usage is exhausted.

Extra Usage can be prepaid when more capacity is needed. Missions use the same rolling limits, require Extra Usage to be enabled, and pause if a rolling rate limit is reached.

Getting Started with Factory

• Стъпка 1: Създаване на Фабрика account and choose Pro, Plus, Max, or a team plan.

• Стъпка 2: Install the Factory App or Droid CLI, then sign in and open an existing Git repository.

• Стъпка 3: Start a Droid session and give it one bounded task, then review its plan, commands, file changes, and diff.
• Стъпка 4: Add AGENTS.md instructions, skills, MCP tools, connectors, and an autonomy level that fits the repository risk.
• Стъпка 5: Move larger work into Missions or Software Factory automation after normal sessions produce stable results.

Why Model Independence Is The Factory Mojo

Factory stands out because the agent runtime is not tied to one model company. The same Droid workflow can use current models from OpenAI, Anthropic, Google, xAI, and open model providers, with different usage multipliers and reasoning settings. Teams can also bring their own model endpoints or keys.

This is more than a long model picker. It gives engineering leaders a way to set cost and quality policy without replacing the rest of the agent stack. Claude Code is closely tied to Anthropic, while editor products often optimise around their own routing choices. Factory makes model policy a visible product layer. That is its clearest advantage for teams that want choice and cost control.

Where Factory Missions Fit In Real Engineering

Missions are useful when a task has several dependent parts and one agent session would become hard to supervise. A migration may need discovery, package changes, test updates, service changes, documentation, and final verification. Missions put that work under one plan and can coordinate workers while keeping validation points in view.

This reduces the manual job of splitting tasks into separate chats, copying context, and reconciling outputs. It does not remove the need for engineering judgment. The plan still needs human review, and high risk repositories should use conservative autonomy settings. Missions work best when the goal is clear, tests are meaningful, and the repository has enough instructions for agents to act consistently.

Предимства и недостатъци

Who Should Use Factory

Factory fits engineering teams that want a coding agent platform without betting the whole workflow on one model vendor or one editor. It is especially strong for companies that need local execution, strict command policy, custom model routing, private deployment, or airgapped operation. Platform teams can use skills, plugins, hooks, MCP, and Custom Droids to encode internal practice.

Product teams can use Missions when work spans many linked changes. A solo developer who only needs autocomplete and occasional code chat may find Factory larger than necessary. Teams already thinking about agent governance, software delivery automation, remote delegation, and measurable производителност на агента will get more value from the full product.

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