Selfcoder

AI-drevne appbyggere uden kode

Få bekræftet og opdater profil Profiler, der er gjort krav på, vises øverst i søgeresultaterne. Bliv bekræftet nu, det tager kun et par minutter. Besøg Rapport

This application functions as a local AI-powered coding assistant integrated within a popular code editor, providing intelligent chat, code generation, and automated editing capabilities without relying on cloud services or requiring user accounts. Its main features include seamless integration with local machine learning models—such as Qwen, Llama, and others—automatic workspace context awareness, agent mode for executing commands and making modifications, and customizable permission controls to ensure safe interactions. Designed for developers and programmers, it addresses problems related to secure, private, and efficient code assistance by enabling AI-driven workflows that improve productivity, facilitate smarter coding sessions, and maintain full control over data and processing environments.

Selfcoder kan findes i AI-powered No-Code App Builders kategorier.

De produkter, der ligner Selfcoder mest, er:

Taskade Forfremmet →

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Detaljer

Selfcoder Hovedfunktioner

• Agent Mode
  The assistant can read files, make changes, run commands, and show updates in your workspace.
• Local Models
  Selfcoder runs on your computer using your own models, so your data stays private.
• Runs Locally
  All processing happens on your computer with no data sent elsewhere.
• No Cloud Needed
  It works entirely offline without needing internet or cloud services.
• Automatic Context
  Selfcoder automatically selects useful information from your files, git changes, and selections.
• Chat Inside VS Code
  You can chat with the model directly inside Visual Studio Code.
• Permission Controls
  You can set how much the assistant can do, keeping your environment safe.
• Flexible Model Choice
  You can pick the model that best fits your needs from your local backend.
• Various Model Support
  You can use many models like Qwen, Llama, DeepSeek, and more, depending on your backend.
• Native VS Code Integration
  It works smoothly inside VS Code with streaming responses, code formatting, and chat history.

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