cto.new
Resource for people looking to access free AI tools to streamline their work. Having a centralized place where users can discover the latest AI tech
Introduction
cto.new is an AI software engineering platform that acts as a virtual technical teammate for developers and engineering teams. It combines AI code generation, task planning, code review, and workflow automation while integrating with popular developer tools. The platform allows users to plan features, write code, review pull requests, and manage software projects using frontier AI models without requiring personal API keys.
Key Features
AI Code Generation: Generate, modify, refactor, and review code using frontier AI models from multiple providers.
Task Planning Agents: Break large software projects into manageable tasks, implementation steps, and development plans.
Asynchronous Coding Agents: Execute development tasks remotely, write code, run checks, and prepare completed work for review.
GitHub & GitLab Integration: Connect repositories to provide codebase context and generate pull requests directly within existing workflows.
Project Management Integration: Connect tools such as Jira, Linear, Trello, and related workflows to manage development tasks.
Code Review & Refactoring: Analyze existing codebases, identify improvements, fix bugs, and suggest optimizations.
Multi-Agent Teams: Create specialized AI agents and assign different technical roles for software development workflows.
What It Does?
cto.new supports the software development lifecycle through four major capabilities:
- Planning: Analyze requirements, break down projects, and generate technical implementation plans.
- Development: Write code, implement features, refactor applications, and fix bugs.
- Collaboration: Integrate with repositories, project management tools, and team workflows.
- Delivery: Generate pull requests, run validations, and prepare code for deployment and review.
How It Works?
1. Connect Your Tools: Link GitHub, GitLab, and project management platforms to provide project context.
2. Create a Task: Describe a feature, bug, or development objective in natural language.
3. AI Planning: The system analyzes the codebase and generates an implementation strategy.
4. Code Generation: AI agents write code, modify files, and perform development tasks asynchronously.
5. Review Results: Examine generated code, pull requests, tests, and recommendations.
6. Approve & Ship: Merge approved changes into the project workflow and continue development.
Use Case & Target Audience
Use Case
- Automating feature implementation and bug fixes.
- Accelerating software development for startups and engineering teams.
- Improving code reviews and refactoring legacy applications.
- Managing development backlogs and technical planning tasks.
Target Audience
- Software developers and full-stack engineers.
- Startup founders and technical teams.
- Engineering managers and technical leads.
- Organizations seeking AI-assisted software development workflows.
Pros and Cons
Pros
- Provides access to multiple frontier AI models within one platform.
- Integrates directly with repositories and development workflows.
- Supports planning, coding, reviewing, and task management.
- Offers a free tier without requiring personal API keys.
Cons
- AI-generated code still requires human review before production deployment.
- Complex enterprise workflows may require additional configuration.
- Usage limits and premium features may apply depending on account level.
Final Thoughts
cto.new aims to function as an AI software engineering partner by combining planning, coding, reviewing, and workflow automation within a single platform. Its integration with developer tools and support for multiple AI models make it useful for both individual developers and engineering teams. Although human oversight remains important for production code, cto.new can significantly reduce repetitive development work and accelerate software delivery.