WinterSolve

WinterSolve is an open-source Developer OS for coders who want to understand, improve, debug, document, and maintain software projects faster.

It is built around Repo Brain, an offline-first project intelligence layer that turns a repository into architecture notes, risk signals, command guesses, security checks, documentation health, and next actions without requiring an AI account.

Overview

WinterSolve is an offline-first command-line product that helps developers inspect repositories, understand files, analyze errors, improve documentation, prepare code reviews, and build a practical mental model of a project.

Why WinterSolve Exists

Developers do not only need a chatbot. They need reusable workflows that turn repeated engineering pain into reliable tools.

WinterSolve focuses on developer problems that show up every day:

• Understanding unfamiliar codebases
• Debugging errors and stack traces
• Generating useful documentation
• Creating project templates
• Reviewing code changes
• Writing tests
• Explaining APIs and architecture
• Automating repetitive setup and maintenance work
• Turning project knowledge into reusable AI workflows

What Makes WinterSolve Different

WinterSolve is designed to stand out from typical AI coding projects in a few important ways:

• Workflow-first, not prompt-first: every feature should solve a repeatable developer problem, not just provide a blank chat box.
• Open and extensible: contributors can add tools, adapters, prompts, templates, and integrations as independent modules.
• Developer-owned AI: the project should support multiple model providers and local options over time.
• Codebase-aware by design: WinterSolve should work with repository structure, docs, tests, issues, and project conventions.
• Practical outputs: generated results should become files, patches, reports, checklists, or commands that developers can actually use.
• Beginner-friendly but senior-useful: new developers get guidance, while experienced developers get automation and repeatable workflows.
• Privacy-conscious path: sensitive code should be handled carefully, with future support for local execution and configurable data sharing.

Core Toolkit Areas

Features

• Repository health scanning
• Repo Brain project intelligence reports
• Offline file explanation
• Error and stack trace analysis
• Documentation improvement suggestions
• Local change review checklists
• Security and privacy checks
• Stable JSON output for future integrations
• Open module structure for future AI-powered workflows

1. Code Understanding

Tools that help developers understand a codebase quickly:

• Project map generator
• File and dependency explainer
• Architecture summary
• API route explorer
• Onboarding guide generator

2. Debugging Assistant

Tools that help diagnose and fix errors:

• Stack trace explainer
• Error-to-fix suggestions
• Log summarizer
• Failing test analyzer
• Dependency and environment checker

3. Documentation Automation

Tools that turn project knowledge into useful docs:

• README generator
• API documentation assistant
• Changelog helper
• Contribution guide generator
• Architecture decision record templates

4. Project Starters

Reusable templates for common developer needs:

• Full-stack app starter
• API service starter
• CLI tool starter
• AI app starter
• Open-source repository starter

5. Code Quality Workflows

AI-assisted workflows for safer changes:

• Pull request summary
• Code review checklist
• Test suggestion generator
• Refactor planning assistant
• Security and dependency review helper

6. Automation Modules

Small tools that remove repetitive work:

• Issue triage helper
• Release note generator
• Environment setup checklist
• Config file validator
• Repo health report

Working CLI

WinterSolve includes a working offline-first CLI.

Run a repository scan:

wintersolve scan .

Build a full Repo Brain report:

wintersolve brain . --format markdown

Save a JSON report for tooling:

wintersolve brain . --format json --output wintersolve-report.json

Generate a Markdown report:

wintersolve scan . --format markdown

Explain a source file:

wintersolve explain src/wintersolve/cli.py

Analyze an error:

wintersolve debug --text "ModuleNotFoundError: No module named demo"

Suggest documentation improvements:

wintersolve docs . --draft-readme

Review local Git changes:

wintersolve review .

Installation

For Users (recommended)

Install the released package from PyPI:

pip install wintersolve

Or use pipx for an isolated, globally available command:

pipx install wintersolve

Then run it from any project:

cd my-app
wintersolve brain .

For Contributors (development setup)

Clone the repository and install in editable mode with dev dependencies:

git clone https://github.com/harshitkrhere/WinterSolve.git
cd WinterSolve
python -m venv .venv
source .venv/bin/activate  # Windows: .venv\Scripts\activate
pip install -e .[dev]

This installs the package with test, lint, and type-check dependencies. The wintersolve command works inside the virtual environment.

Run Without Installing (quick test)

From the project folder:

$env:PYTHONPATH="src"; python -m wintersolve scan .

Or use the local PowerShell helper:

.\scripts\wintersolve.ps1 scan .

Usage

See docs/COMMANDS.md for command examples.

See docs/GITHUB_LAUNCH.md for GitHub install, app/website usage, JSON integration, and CI examples.

Development Setup

WinterSolve requires typer>=0.12 and rich>=13.0 at runtime.

Install the wintersolve Command

To make this work:

wintersolve scan .

install the project in editable mode:

python -m pip install -e .

Then open a new PowerShell window and run:

wintersolve scan .

Run the tests:

PYTHONPATH=src python -m unittest discover -s tests

On Windows PowerShell:

$env:PYTHONPATH="src"; python -m unittest discover -s tests

Testing

WinterSolve uses Python's built-in unittest runner. The test suite covers repository scanning, Repo Brain JSON output, command detection, secret redaction, safe path handling, and mixed Python/Node.js project detection.

Contributing

See CONTRIBUTING.md for contribution guidelines.

Security

See SECURITY.md for security reporting guidance.

License

WinterSolve is released under the MIT License. See LICENSE.

Suggested Repository Structure

WinterSolve/
  README.md
  docs/
    PROJECT_VISION.md
    ROADMAP.md
    MODULES.md
  examples/
    sample-reports/
  templates/
    prompts/
    project-starters/
  src/
    wintersolve/
      modules/
      providers/
      workflows/
  tests/

Project Values

• Solve real developer problems.
• Prefer useful workflows over flashy demos.
• Keep the core modular.
• Make contribution paths clear.
• Respect developer privacy and project ownership.
• Keep outputs readable, editable, and practical.

Status

WinterSolve is in the early product foundation stage.

The CLI now includes working brain, scan, explain, debug, docs, and review workflows. The next step is to deepen Repo Brain with richer language analyzers, optional AI enhancement, and GitHub-ready release polish.