Skip to main content

Local LLM-based code repair tool with self-healing capabilities

Project description

Bolor is a local LLM-based code repair tool with self-healing capabilities.
It can scan codebases for issues, fix detected problems, and generate code from natural language descriptions.
The tool is designed to work locally without requiring an internet connection.

## Key Features

- **Code Scanning**: Scan your code for issues and get suggestions for improvements
- **Code Generation**: Generate code from natural language prompts
- **Local Operation**: Works offline with local models

## Commands

- `bolor update` - Download or update local GGUF models
- `bolor check <file>` - Analyze a file and suggest fixes
- `bolor explain <file>` - Explain what the code does using LLM
- `bolor optimize <file>` - Optimize code for better performance or readability
- `bolor document <file>` - Add or improve documentation in code
- `bolor config` - Configure Bolor settings

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

bolor-0.2.5.tar.gz (111.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

bolor-0.2.5-py3-none-any.whl (126.8 kB view details)

Uploaded Python 3

File details

Details for the file bolor-0.2.5.tar.gz.

File metadata

  • Download URL: bolor-0.2.5.tar.gz
  • Upload date:
  • Size: 111.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.6

File hashes

Hashes for bolor-0.2.5.tar.gz
Algorithm Hash digest
SHA256 275d2a1762bf75289e6fba9db9c5082172d57e7f07249d59acc599531c8194d0
MD5 c5601b5b93d9c2c485c97582b22feaa5
BLAKE2b-256 7c4c950f152f62468fe2b93d8dc5d943053cd33d097f311e143bfd2fdda219df

See more details on using hashes here.

File details

Details for the file bolor-0.2.5-py3-none-any.whl.

File metadata

  • Download URL: bolor-0.2.5-py3-none-any.whl
  • Upload date:
  • Size: 126.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.6

File hashes

Hashes for bolor-0.2.5-py3-none-any.whl
Algorithm Hash digest
SHA256 33b021db3ef37dc609282327cfc201513e817d306cb4d174745a794c9bebdf8d
MD5 df8bd1d5c3eec0f24bf97fce540cf983
BLAKE2b-256 670e81952e40e364b3af1fe1c3b6d3c7b1f2a2f971368e969924705ddd20f6c5

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page