Pythagora
Pythagora is a development tool known for simplifying the process of application development. Its primary function is to enable the construction of apps from sc...
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What is Pythagora?
Pythagora is an all‑in‑one AI development platform that operates as an AI teammate inside VS Code or Cursor, powered by 14 specialized agents that handle planning, coding, testing, debugging, and deployment of full‑stack web apps. It lets developers describe an application in natural language and then automatically generates a working React frontend with a Node.js backend, including routes, API endpoints, and database integration, while leaving the user in full control of the generated code. The platform emphasizes end‑to‑end workflows: from idea to production‑ready app, with integrated debugging and deployment tools, dedicated or local infrastructure, and secure database connections so that the app can be iterated on inside the IDE without switching tools.
Pythagora is designed for individual developers, startups, and small teams who want to rapidly prototype and ship full‑stack web applications without managing multiple AI assistants or separate backend services. It is particularly useful for engineers who are comfortable with TypeScript or JavaScript and want to leverage AI for code generation while still reviewing and editing the code themselves. The platform is also attractive to product‑focused builders who want to turn business ideas into working dashboards or SaaS‑like apps connected to databases such as MongoDB, PostgreSQL, MySQL, or spreadsheets, all generated from conversational prompts.
Key features include 14 specialized AI agents that break down development into planning, writing, reviewing, testing, and deploying tasks; support for React frontends and Node.js backends; the ability to generate live, AI‑driven dashboards from databases; and a tight integration with VS Code or Cursor so that everything runs inside the familiar IDE. The platform ensures that all code and files belong to the user, with options to run on a dedicated cloud instance or fully locally, and it emphasizes data security by not retaining user data and only processing requests through the AI models. This makes it suitable for use cases ranging from internal tools and admin dashboards to customer‑facing web apps and analytics interfaces that need to be shipped quickly and iteratively.
Pythagora pricing
Pricing model: Free
Pythagora offers a free Starter plan that lets users build frontend‑only applications using their own OpenAI or Anthropic API keys, with free deployments displaying a watermark. The Pro plan starts at 49 dollars per month and includes full‑stack development with backend and database support plus a set token allocation for AI model calls. The Premium plan starts at 89 dollars per month and provides all Pro features plus a higher token allowance, typically around 20 million tokens. For larger teams and organizations, custom Enterprise plans are available with unlimited deployments, SSO, advanced access control, audit logging, and SLA support. Users can also choose whether to bring their own API keys or rely on the platform’s included token budgets depending on the plan.
Pythagora pros
- 14 specialized AI agents for end‑to‑end app development
- Integrated into VS Code and Cursor for seamless workflow
- Generates full‑stack React + Node.js applications from prompts
- Produces production‑ready apps, not just demos
- Includes built‑in debugging and error‑fixing agents
- Automatic test generation and coverage for backend code
- Supports live dashboards connected to databases like MongoDB and PostgreSQL
- Can connect to spreadsheets and various SQL databases
- Runs on a dedicated cloud instance or fully locally
- AI only processes requests and does not retain user data
- All generated code and files belong to the user
- Clear token‑based pricing on paid plans with included usage
- Frontend‑only building available on the free tier
- Watermark‑free deployments on paid plans
- Supports multiple AI backends such as OpenAI and Anthropic
Pythagora cons
- Frontend‑only apps on the free tier limit full‑stack experimentation
- Free deployments include visible watermarks
- Currently focused on React and Node.js, no Python support yet
- Requires an internet connection to call AI models
- Learning curve for managing 14‑agent workflows and settings
- Depends on external model providers’ reliability and pricing
- May produce boilerplate‑heavy or opinionated code structures
- Local mode still needs cloud access for some AI operations
Frequently asked questions about Pythagora
What is Pythagora and how does it work?
Pythagora is an AI teammate that runs inside VS Code or Cursor and uses 14 specialized agents to handle planning, writing, reviewing, testing, debugging, and deploying full‑stack web applications. You describe an app in natural language, Pythagora generates a React frontend and Node.js backend with routes, APIs, and database integration, and then helps you iterate and fix issues directly in the IDE while you retain full control over the code.
What tech stacks does Pythagora support?
Pythagora currently builds frontends using React and backends using Node.js, with tight integration for full‑stack web apps. Python support for backends is listed as upcoming, so for now the platform is oriented mainly toward JavaScript and TypeScript‑based stacks rather than Python or other languages.
Who owns the projects and code generated by Pythagora?
You own everything you build with Pythagora, including every file and every line of code. The platform does not claim any rights over your projects and allows you to download, modify, and deploy the generated code as you wish, whether you run it on your own infrastructure or on Pythagora’s runtime.
How does Pythagora handle data and security?
Pythagora runs on your dedicated cloud instance or fully locally and establishes secure database connections without storing your data. The AI only processes requests and does not retain user data, so your database content and application data stay within your own environment or secure connection while the platform generates code and dashboards on top of it.
What is the difference between the free Starter plan and paid plans?
The free Starter plan lets you build frontend‑only applications by supplying your own OpenAI or Anthropic API keys, but deployments include a watermark. Paid plans unlock full‑stack development with backend and database support, remove the watermark, and provide included token allocations for AI model calls, making them suitable for production‑ready apps and teams.
How does Pythagora handle debugging and broken applications?
Pythagora includes agents that automatically detect failed tasks, inspect logs, and suggest fixes when something breaks in your app. You can report errors through the UI, and the platform will iterate on the code, re‑run tasks, and propose corrections while keeping you in the loop so you can review and approve each change in the IDE.
Can Pythagora generate dashboards from databases or spreadsheets?
Yes, Pythagora can connect to databases such as MongoDB, PostgreSQL, MySQL, or spreadsheets and generate live dashboards powered by AI, typically in minutes. These dashboards are built as React‑based web interfaces that query your connected data sources and can be customized through prompts and code edits inside VS Code or Cursor.
What tokens and usage limits apply to Pro and Premium plans?
The Pro plan starts at 49 dollars per month and includes a fixed token allocation, usually around 10 million tokens, that covers AI model calls for code generation, testing, and debugging. The Premium plan starts at 89 dollars per month and provides a higher token cap, typically around 20 million tokens, allowing heavier usage for larger or more complex projects while still operating within the same 14‑agent framework.
How do I get started with Pythagora?
You start by installing the Pythagora extension in VS Code or Cursor, signing up for an account, and either picking a starter example or typing your own app description. The platform then creates a new project, guides you through initial configuration, and begins generating the frontend and backend code, after which you can refine the app via natural language prompts and manual edits inside the IDE.
Is Pythagora suitable for teams and enterprise use?
Yes, Pythagora offers custom Enterprise plans for larger teams that include features like unlimited deployments, SSO, advanced access control, audit logging, and service‑level agreements. These plans are designed for companies that want to standardize an AI‑driven development workflow across multiple engineers while maintaining security, compliance, and centralized billing and administration.