cto.new

Name: cto.new
Brand: cto.new
Rating: 3.8 (2 reviews)

cto.new is the world's first completely free AI code agent.

Est 2006|Raised $6.8M|6 Ref Customers

LinkedIn 2K|Web traffic 669K|FTEs 7|HQ San Francisco, California, US

MarketsAI Coding Assistants

01Competitive Landscape

| Aspect | cto.new | Cursor | Devin (Cognition) | |--------|--------|--------|-------------------| | Starting Price | Vendor lists a free tier and a Premium tier with published per-seat or plan pricing in marketing materials | Individual plans with published pricing and team tiers are available | Self-serve plans with published updates; pricing varies by plan | | Primary Use Case | Low-friction trial of background automated PR workflows and multi-model experimentation | IDE-native experience with integrated team governance features | Autonomous engineer concept with structured productization for teams | | Documented Strengths | Multi-model routing and integration into issue/PR workflows; low documented onboarding friction | IDE integration and clearer team governance controls | Focus on autonomous engineer workflows; active product iteration | | Documented Weaknesses | Limited public disclosure of enterprise compliance and governance features; community reports of confusing limits | Community discussion about pricing complexity and usage surprises | Higher cost profile for some use cases; may be more than required for simple tasks | - Pricing comparison: value proposition vs alternatives - cto.new: The vendor's free tier plus a paid premium tier appears competitive on published list pricing, but practical value depends on actual usage limits, model access, and rate limits observed in live product behavior. - Cursor: Published subscription tiers with documented usage and explicit team controls; teams can purchase governance features. - OpenAI / managed coding models: API pricing is token-based and can be modeled quantitatively; managed developer experiences vary in effective cost per developer. - Feature comparison: where cto.new may excel vs lag behind - Areas of relative strength - Background PR workflow available through integrations without requiring a local IDE change. - Multi-model routing that allows trade-offs between performance and cost in principle. - Areas where it may lag - Public transparency on enterprise compliance, audit reports, and governance features. - Volume of independent, verified third-party reviews and enterprise references. - Market share and adoption trends - Public data are insufficient to produce reliable market share estimates. Vendor and partner claims indicate early usage traction, but these are not independently audited metrics.

01Competitive Landscape

Aspect	cto.new	Cursor	Devin (Cognition)
Starting Price	Vendor lists a free tier and a Premium tier with published per-seat or plan pricing in marketing materials	Individual plans with published pricing and team tiers are available	Self-serve plans with published updates; pricing varies by plan
Primary Use Case	Low-friction trial of background automated PR workflows and multi-model experimentation	IDE-native experience with integrated team governance features	Autonomous engineer concept with structured productization for teams
Documented Strengths	Multi-model routing and integration into issue/PR workflows; low documented onboarding friction	IDE integration and clearer team governance controls	Focus on autonomous engineer workflows; active product iteration
Documented Weaknesses	Limited public disclosure of enterprise compliance and governance features; community reports of confusing limits	Community discussion about pricing complexity and usage surprises	Higher cost profile for some use cases; may be more than required for simple tasks

Pricing comparison: value proposition vs alternatives
- cto.new: The vendor's free tier plus a paid premium tier appears competitive on published list pricing, but practical value depends on actual usage limits, model access, and rate limits observed in live product behavior.
- Cursor: Published subscription tiers with documented usage and explicit team controls; teams can purchase governance features.
- OpenAI / managed coding models: API pricing is token-based and can be modeled quantitatively; managed developer experiences vary in effective cost per developer.
Feature comparison: where cto.new may excel vs lag behind
- Areas of relative strength
  - Background PR workflow available through integrations without requiring a local IDE change.
  - Multi-model routing that allows trade-offs between performance and cost in principle.
- Areas where it may lag
  - Public transparency on enterprise compliance, audit reports, and governance features.
  - Volume of independent, verified third-party reviews and enterprise references.
Market share and adoption trends
- Public data are insufficient to produce reliable market share estimates. Vendor and partner claims indicate early usage traction, but these are not independently audited metrics.

Aspect

cto.new

Cursor

Devin (Cognition)

Starting Price

Vendor lists a free tier and a Premium tier with published per-seat or plan pricing in marketing materials

Individual plans with published pricing and team tiers are available

Self-serve plans with published updates; pricing varies by plan

Primary Use Case

Low-friction trial of background automated PR workflows and multi-model experimentation

IDE-native experience with integrated team governance features

Autonomous engineer concept with structured productization for teams

Documented Strengths

Multi-model routing and integration into issue/PR workflows; low documented onboarding friction

IDE integration and clearer team governance controls

Focus on autonomous engineer workflows; active product iteration

Documented Weaknesses

Limited public disclosure of enterprise compliance and governance features; community reports of confusing limits

Community discussion about pricing complexity and usage surprises

Higher cost profile for some use cases; may be more than required for simple tasks