Scopy

Herramientas de revisión de código

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This open-source AI code review tool seamlessly integrates with your development workflow to analyze entire pull requests, identify bugs, and improve code quality through intelligent, full-context assessments. It offers key features such as model-agnostic compatibility, inline comments on critical lines, customizable linting rules tailored to team standards, and the ability to run in the cloud or self-hosted without limitations, making it suitable for software developers, development teams, and quality assurance professionals seeking efficient, scalable, and cost-effective code review solutions.

Scopy se puede encontrar en Code Review Tools categorías.

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Detalles

Características principales de Scopy

• Open Source
  Scopy's source code is available on GitHub, so you can see, modify, or run it yourself.
• Self-hosted
  You can run Scopy on your own servers without using the cloud.
• Easy to Start
  You can sign in with GitHub quickly and start using Scopy fast.
• Model-agnostic
  You can connect Scopy with different AI models like OpenAI, Anthropic, or your own local models.
• Team Workspace
  Teams can manage and collaborate on multiple projects within Scopy.
• Inline Comments
  Scopy adds comments directly on the lines of code in your pull request to show issues or suggestions.
• Affordable Pricing
  Scopy offers free plans and paid plans to fit different needs and budgets.
• Configurable Rules
  You can set your own rules for linting and reviews to match your team's needs.
• Support and Updates
  Community support is available on GitHub and the system gets regular updates.
• Full-Context Analysis
  Scopy reads the entire pull request to understand the code's intent and find risks before making suggestions.
• Unlimited Repositories
  There is no limit to the number of code projects you can analyze with Scopy.
• Supports Any LLM Provider
  You can connect Scopy with any Large Language Model provider you want.
• Cloud and Self-host Options
  You can choose to use Scopy in the cloud or host it on your own infrastructure.

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Tecnologías utilizadas

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