Factory
Agent-native software development — autonomous Droids for the full SDLC
- Category
- Coding & Development
- Pricing
- Pro $20/mo; Plus $100/mo; Max $200/mo; Business and Enterprise are custom, contact-sales only
- Best for
- Factory is best suited for engineering teams with an established CI/CD and pull-request review culture who want to delegate substantial, multi-step coding tasks — not just inline autocomplete — to autonomous agents, and who value the ability to switch between frontier models without re-architecting their workflow.
- Official site
- factory.ai
- Last updated
- August 2026
Factory (factory.ai) is an agent-native software development platform built around autonomous AI agents it calls "Droids" — Code Droid, Knowledge Droid, Reliability Droid, and Product Droid — each targeting a different part of the software development lifecycle, from writing merge-ready code to researching documentation, debugging production incidents, and drafting product requirement documents. Rather than positioning itself as an IDE autocomplete tool, Factory's core pitch is "agent-native software development": Droids are meant to take a task from planning through implementation, testing, and pull-request submission with minimal hand-holding, accessible from wherever a developer already works — desktop app, CLI, SDK, web browser, or directly inside Slack/Teams.
Factory differentiates itself from single-model coding assistants by being model-agnostic, supporting GPT, Claude (Opus/Sonnet), Gemini, and other frontier and open-weight models without requiring teams to rebuild their workflow when switching models. It has topped benchmarks like Terminal-Bench (claiming a 58.8% success rate versus Claude Code's 43.2%) and counts enterprise customers including Nvidia, Adobe, EY, Adyen, Morgan Stanley, MongoDB, Bayer, Blackstone, Wipro, and Zapier. Its pricing and product tiers scale from a $20/mo individual Pro plan up through Business and Enterprise tiers with SSO, on-premise deployment, dedicated compute, and custom-managed encryption for large, security-conscious organizations.
Factory is best suited for engineering teams with an established CI/CD and pull-request review culture who want to delegate substantial, multi-step coding tasks — not just inline autocomplete — to autonomous agents, and who value the ability to switch between frontier models without re-architecting their workflow. It's a strong fit for larger or security-conscious organizations that need SSO, on-prem, or Zero Data Retention guarantees. It's a weaker fit for individuals or small teams that just want lightweight IDE autocomplete or a simple coding chat window, for teams uncomfortable with token-usage-based cost variability, or for teams working on legacy/complex codebases where 2025-era reviews flagged code quality gaps that still require close human review.
Key features
Specialized Droids for different SDLC stages
Code Droid turns tasks into ready-to-merge changes; Knowledge Droid handles engineering research and documentation; Reliability Droid investigates incidents and writes root-cause analyses; Product Droid assists with PRDs and planning.
Multi-platform, agent-native access
Droids can be assigned tasks from the Factory desktop app, CLI, SDK, a no-install browser interface, or directly from Slack/Teams for quick fixes and incident help.
Model flexibility
Supports switching between frontier and open-weight models — including the latest GPT, Claude Opus/Sonnet, and Gemini — without changing the surrounding workflow or tooling.
Cloud and local background agents
Droids can run as background agents either locally or in Factory's cloud, executing terminal commands, spinning up environments, and running test suites autonomously.
Droid Computers (Plus/Max tiers)
Factory-managed cloud compute environments dedicated to remote Droids, available starting on the Plus plan, for teams that want agents to run without tying up local machines.
Enterprise governance controls
SSO, SAML/SCIM provisioning, Zero Data Retention (ZDR), audit logging and activity trails, org-level model/network access controls, and on-premise deployment options at the Business/Enterprise tiers.
Rolling, usage-scaled rate limits
Plan tiers (Pro/Plus/Max) scale usage roughly 1x/5x/10x relative to each other via rolling token-based rate limits rather than hard per-seat caps.
Benchmark-driven positioning
Factory publicly cites #1 rankings on agentic coding benchmarks like Terminal-Bench as evidence its agent harness extracts more real-world capability from underlying frontier models than the labs' own native agent tooling.
Pricing breakdown
Pro
- Agent-native, multi-platform experience (Desktop/CLI/SDK)
- Cloud and local background agents
- Billing and usage statistics tracking
- Agent-readiness dashboard
Plus
- Everything in Pro
- ~5x the rolling usage of Pro
- Droid Computers — Factory-managed cloud compute for remote Droids
Max
- Everything in Plus
- ~10x the rolling usage of Pro
- Early access to new features
Business
- Custom usage limits
- Dedicated onboarding and support
- SSO integration
- SAML/SCIM provisioning
- Zero Data Retention (ZDR)
- Audit logging and activity trails
- Basic admin controls (model selection, autonomy level, network policy)
Enterprise
- Unlimited team members
- Dedicated compute with partitioned inference pool
- On-premise deployment options
- Sub-organizations and full admin controls
- Customer-managed encryption keys and data residency
- Dedicated Account Manager, Customer Engineer, and SLA-backed priority support
Pros and cons
Pros
- Droids can autonomously execute terminal commands, spin up environments, run test suites, and iteratively debug based on the resulting error logs before opening a pull request — a genuinely more end-to-end workflow than simple code-completion tools.
- Model-agnostic architecture means teams aren't locked into a single vendor's model quality or pricing — they can pick GPT, Claude, or Gemini per task and switch as models improve.
- Strong enterprise security posture (SOC2, ZDR, SSO/SCIM, on-prem, customer-managed keys) makes it viable for regulated industries; customers cited include financial services and healthcare-adjacent firms concerned about data privacy.
- Recent 2026 G2 reviews (13 reviews, 4.6/5 average) skew heavily positive, citing productivity gains on real Jira-to-PR workflows, code review assistance, and end-to-end task delegation.
- Multi-surface access (IDE, CLI, SDK, browser, Slack) means teams can use it inside their existing workflow rather than adopting a brand-new dedicated tool/window.
- Public benchmark rankings (e.g., Terminal-Bench) give buyers an external, comparable performance reference point beyond marketing claims.
Cons
- Pricing is a hybrid of flat monthly fee plus rolling token-based usage limits, so actual cost can be unpredictable — long-running or iteration-heavy agent tasks can burn through allowances faster than expected, and one independent review described token usage as a 'blackhole' during heavy use.
- Independent third-party review coverage (13 G2 reviews as of August 2026) is still thin relative to the scale of enterprise adoption Factory claims, making it harder for buyers to verify quality/reliability claims outside vendor-supplied case studies.
- Earlier 2025 user reports (e.g., via Reddit and third-party blogs) described code quality issues requiring significant manual rework — file structure problems, type-safety gaps, and in one case broken authentication — though more recent G2 reviews from mid-to-late 2026 trend considerably more positive, suggesting rapid iteration on quality.
- AI-generated output at the more autonomous end still needs review before merging; Factory's own documentation and several reviewers note it isn't yet a true 'assign and forget' experience for complex or legacy codebases.
- No published free tier on the current pricing page; the lowest paid entry point is $20/mo, and Business/Enterprise pricing is entirely behind a sales conversation, which slows evaluation for smaller teams.
- Terminal/tooling rough edges have been reported (e.g., pasted commands failing due to bracketed paste mode, or expected tools like Python not being pre-installed in the cloud container), creating friction in an otherwise streamlined workflow.
What reviewers say
Factory's G2 reviews, concentrated in mid-to-late 2026, are strongly positive — praising Droids' ability to take on real end-to-end tasks (Jira ticket to pull request), context-aware code review, and model flexibility. The main recurring criticism is the need for continued supervision and less predictable usage-based costs rather than core functionality failures.
Frequently praised
- Droids handle full tasks (planning through implementation and testing), not just code completion
- Model flexibility across GPT, Claude, and Gemini without rebuilding workflows
- Context-aware suggestions and code review that account for the broader codebase
Frequently criticized
- Still requires meaningful human supervision and review of proposed changes
- Rolling token-based usage limits create less predictable costs, especially on long-running agent tasks
- Occasional environment/tooling friction (e.g., terminal paste issues, missing pre-installed tools in cloud containers) and a learning curve on complex or unfamiliar codebases
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Compare →Frequently asked questions
What are Factory's 'Droids'?
Droids are Factory's autonomous AI agents specialized by function: Code Droid writes and implements code changes, Knowledge Droid handles research/documentation, Reliability Droid investigates production incidents, and Product Droid assists with planning and PRDs.
How much does Factory cost?
Individual plans are Pro at $20/mo, Plus at $100/mo, and Max at $200/mo, each scaling rolling usage limits roughly 1x/5x/10x. Business (up to 150 seats) and Enterprise plans are custom and require contacting sales.
Which AI models does Factory support?
Factory supports all leading frontier and open-weight models, including the latest versions of GPT-5, Claude Opus and Sonnet, and Gemini, with the ability to switch between them without changing your workflow.
Who owns code generated by Factory's Droids?
Factory's FAQ confirms code ownership questions are addressed in their terms, and enterprise plans additionally support customer-managed encryption keys and data residency for organizations with strict IP/compliance requirements.
Is there a free tier?
As of the current pricing page, there is no free tier listed — the lowest published price is the $20/mo Pro plan. (Earlier third-party coverage referenced a $0 'BYOK' bring-your-own-key tier, which is not present on Factory's current official pricing page.)
Can Factory be used on-premise or with strict data controls?
Yes — the Enterprise tier offers on-premise deployment options, Zero Data Retention, customer-managed encryption keys, data residency, and dedicated partitioned compute, in addition to SSO/SAML/SCIM available at the Business tier.
Ready to try Factory?
Head to the official site to explore pricing and start a free trial where available.
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