Claude
Anthropic's AI assistant built for long-context analysis, coding, and safe reasoning
FREEMIUM Verified JUN 11, 2026
Factory AI
Agentic software-development platform whose Droids autonomously triage, code, validate, and ship software across the SDLC from the desktop, CLI, or cloud
Factory AI is an agentic software-development platform built around Droids — autonomous agents that triage issues, write and validate code, and ship releases across the SDLC. It is model-independent and runs from a desktop app, CLI, and SDK. Pro is $20/month, Plus is $100/month (about 5x usage), and Max is $200/month with roughly 200 million tokens; Teams and Enterprise are custom. Best for engineering teams automating real delivery work, not just autocomplete.
Verified JUN 18, 2026 PAID Live
What is Factory AI?
Factory AI is an agentic software-development platform built around Droids — autonomous agents that operate across the entire software development lifecycle. Rather than completing lines in an editor, Droids ingest continuous signals (incidents, tickets, repository activity) and automate the work that follows: triaging issues, generating and validating code, shipping releases, and keeping documentation and monitoring up to date. Factory describes the result as a “software factory,” a self-improving system that orchestrates these stages instead of leaving each one to a person prompting a chat window.
The platform is model-independent, letting teams pick a model per task based on coding ability, reasoning, speed, cost, and context window. It runs from a desktop app, a CLI, and an SDK, with both local and cloud background agents; higher tiers add Droid Computers, Factory-managed cloud sandboxes for autonomous tasks. For larger organizations, Factory supports SaaS, hybrid, on-premise, and air-gapped deployments across the major clouds, along with SSO, SAML/SCIM provisioning, audit logging, and Zero Data Retention — the controls regulated engineering teams typically require.
Who is it for?
Factory is aimed at engineering teams that want to automate real delivery work, not just speed up typing. Its entry plan starts at $20/month and there is no substantial free tier, so the natural users are developers and teams already committed to agentic workflows and willing to manage token-metered usage.
- Platform and DevEx teams standardizing triage, review, release, and monitoring across many repositories.
- Engineering organizations with regulated requirements that need on-premise or air-gapped deployment, SSO, and audit logging.
- Teams running large migrations or refactors who want autonomous agents to handle scale that would otherwise tie up engineers.
- Developers comfortable with agentic delivery who want background Droids acting on incidents and tickets rather than an in-editor autocomplete tool.
How much does Factory AI cost?
Starting price: $20/mo · Free tier: no · Model: paid
Pricing verified JUN 18, 2026
Price history tracked from June 2026
| Plan | Price | Includes |
|---|---|---|
| Pro | $20/mo | Agent-native, multi-platform experience (Desktop, CLI, SDK) · Cloud and local background agents · Single seat, month-to-month |
| Plus | $100/mo | Everything in Pro plus roughly 5x usage · Droid Computers — Factory-managed cloud sandboxes · Single seat |
| Max | $200/mo | Everything in Plus plus roughly 10x Pro's usage · About 200 million tokens per month across models · Early access to new features |
| Teams | Custom | Up to 150 seats with custom usage limits · SSO and SAML/SCIM provisioning · Zero Data Retention and dedicated onboarding |
| Enterprise | Custom | Unlimited team members · Dedicated compute with a partitioned inference pool · Audit logging and on-premise / air-gapped deployment · Full admin controls |
What are Factory AI's key features?
- Droids — autonomous agents spanning triage, code generation, validation, release, docs, and monitoring
- Model independence — select models by coding, reasoning, speed, cost, and context needs
- Desktop app, CLI, and SDK for embedding agents into existing workflows
- Droid Computers — Factory-managed cloud sandboxes for autonomous tasks (Plus and above)
- Cloud and local background agents that run asynchronously
- Enterprise deployment across SaaS, hybrid, on-premise, and air-gapped on AWS, Azure, and GCP
- SSO, SAML/SCIM provisioning, audit logging, and Zero Data Retention options
What people use Factory AI for
- 01 Automating issue triage and bug-fix pull requests from signals like incidents or tickets
- 02 Generating and validating code changes across large codebases with autonomous agents
- 03 Running background and cloud agents to ship routine changes while engineers focus elsewhere
- 04 Migrating or refactoring legacy code at scale across many repositories
- 05 Standardizing release, documentation, and monitoring steps in the delivery pipeline
Pros and cons
| Pros | Cons |
|---|---|
| Covers the whole software development lifecycle — triage through release — not just autocomplete | No meaningful free tier — paid from $20/month, and heavy autonomous workflows burn tokens quickly |
| Model-independent, so you are not locked to a single LLM vendor | Token-metered usage makes monthly cost hard to predict on Plus and Max |
| Flexible deployment including on-premise and air-gapped for regulated organizations | Autonomous, multi-step changes need careful review and strong CI to catch regressions |
| Token-based tiers scale from a $20 solo plan up to dedicated enterprise compute | Geared toward teams and real delivery pipelines; overkill for a solo developer who just wants editor autocomplete |
What are the best Factory AI alternatives?
Cursor
AI-native code editor that runs autonomous agents to build, test, and review code
FREEMIUM Verified JUN 11, 2026
Windsurf
Agentic AI IDE with Cascade that writes, edits and runs code autonomously inside your editor
FREEMIUM Verified JUN 11, 2026
GitHub Copilot
AI coding assistant with inline completions, chat, and autonomous agent mode across major IDEs
FREEMIUM Verified JUN 11, 2026
How people make money with Factory AI
- Offer SDLC-automation consulting to engineering teams adopting Droids — set up triage-to-release pipelines and CI guardrails as a recurring retainer engagement
Frequently asked questions
What is a Droid in Factory AI?
A Droid is an autonomous agent that works across the software development lifecycle — triaging issues, writing and validating code, shipping releases, and updating documentation and monitoring. Factory orchestrates Droids into what it calls a software factory rather than a single in-editor assistant.
How much does Factory AI cost?
Pro is $20/month, Plus is $100/month (about 5x the usage of Pro), and Max is $200/month with roughly 200 million tokens per month. Teams and Enterprise are custom-priced. Usage is token-metered, so heavier autonomous work consumes more of each tier's allotment.
Is there a free version of Factory AI?
Factory's published plans start at $20/month with no substantial free tier. It is aimed at teams and developers automating real delivery work, so the entry point is a paid Pro plan rather than a permanent free tier.
What AI models does Factory use?
Factory emphasizes model independence — you can choose between different models based on coding ability, reasoning, speed, cost, and context window, rather than being tied to one provider.
Where does Factory AI run?
Factory runs from a desktop app, a CLI, and an SDK, with cloud and local background agents. For organizations, it supports SaaS, hybrid, on-premise, and air-gapped deployments across AWS, Azure, and GCP.
How is Factory different from Cursor or Claude Code?
Editor-centric tools focus on writing code in your IDE. Factory orchestrates the whole lifecycle — triage, code, validation, release, docs, and monitoring — with background Droids that act on signals like incidents and tickets, which suits teams automating delivery rather than individual autocomplete.