Michael Chihlas 307a6285e6
All checks were successful
Mirror to GitHub / mirror (push) Successful in 4s
CI / frontend (pull_request) Successful in 4m57s
CI / backend (pull_request) Successful in 10m21s
CI / e2e (pull_request) Successful in 12m0s
feat(guides): rewrite in-product User Guides as Diátaxis how-tos
Replace 15 feature-dump guides with 43 problem-oriented how-tos grouped
under 10 categories. Drop Maintenance Flows / AI Assistant / Flow Assist
Sparkles — those surfaces no longer exist post-FlowPilot pivot. Rename
Step Library → Solutions Library throughout. Correct every "click X in
the sidebar" reference to match live labels (Home, History, Tickets,
Flows, Scripts, Data, Acct).

Schema: add `category: CategoryId` and optional `relatedSlugs` to Guide;
new Category type and `categories` const drive hub ordering. GuidesHubPage
renders category sections (auto-hides empty); GuideDetailPage renders a
related-guides footer when set; GuideCard drops the misleading "N sections"
subtitle.

Fix step.tip markdown rendering — `**bold**` rendered literally because
tip used plain text instead of the same regex replacement used on
instruction.

14 net-new how-tos for FlowPilot-era surfaces with no prior coverage:
tasklane keyboard flow, view-what-we-know, ask-AI mid-session,
pause-and-leave, resolve, record-fix-outcome, escalate (Escalation
Mode), post-docs-to-ticket, send-client-update, build-script-from-scratch,
open-suggested-flow, pin-a-flow, invite-teammate.

Browser-verified against engineer + owner test users (sidebar labels,
account sub-pages, pilot-screen header buttons, Tasks panel, integration
form). tsc clean.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-01 21:16:51 -04:00
2026-04-24 23:17:06 -04:00
2026-04-24 23:17:06 -04:00

ResolutionFlow

Stop writing ticket notes. Start generating them.

ResolutionFlow is an AI-powered troubleshooting platform for MSP professionals. Engineers follow guided flows while an AI copilot assists — and documentation writes itself as a byproduct of the work.

Production: resolutionflow.com


Quick Start

# Prerequisites: Docker, Python 3.11+, Node.js 20+

# Start PostgreSQL
docker start patherly_postgres

# Backend
cd backend
source venv/bin/activate
pip install -r requirements.txt
alembic upgrade head
uvicorn app.main:app --reload

# Frontend (separate terminal)
cd frontend
npm install
npm run dev

See DEV-ENV.md for full environment setup (devserver, Docker, CORS).


Features

FlowPilot AI Copilot

Like having a senior engineer on every call. FlowPilot guides troubleshooting decisions, suggests next steps with context-aware intelligence, and automatically captures documentation as a byproduct of the session.

  • Confidence-tiered model routing (fast responses for simple steps, deeper reasoning for complex decisions)
  • AI-generated ticket summaries and session documentation
  • Standalone assistant chat with RAG for open-ended troubleshooting
  • Knowledge Flywheel: AI analyzes completed sessions and proposes new flows automatically

Guided Flows

  • Troubleshooting Flows — Decision trees with branching paths for diagnosing issues
  • Procedural Flows (Projects) — Step-by-step checklists for onboarding, migrations, deployments
  • Maintenance Flows — Scheduled recurring tasks with batch execution across multiple targets
  • Visual Flow Editor with drag-and-drop canvas, undo/redo, markdown support
  • AI Flow Builder — describe what you need, get a complete flow generated

Auto-Documentation

Every session generates timestamped, detailed notes formatted for your PSA. Engineers never write another ticket note.

  • Export to Markdown, plain text, or HTML
  • Sensitive data redaction
  • One-click push to ConnectWise PSA tickets

ConnectWise PSA Integration

  • Post session documentation directly to ConnectWise tickets as internal notes
  • Pull ticket details and client context into FlowPilot sessions
  • Member mapping between ResolutionFlow and ConnectWise users
  • Credentials encrypted at rest (Fernet), stored per-team

Team & Knowledge Management

  • Role-based access (super_admin, team_admin, engineer, viewer)
  • Shared flow library with categories, tags, folders, full-text search
  • Step Library — reusable troubleshooting steps with ratings and reviews
  • Session sharing via link (authenticated and public views)
  • Escalation workflow with AI-enhanced briefing packages
  • Flow proposals from AI analysis (review queue for team leads)

Tech Stack

Layer Technology
Frontend React 19, TypeScript, Vite, Tailwind CSS v4
State Zustand (immer + zundo for undo/redo)
Routing React Router v7
Canvas @xyflow/react (React Flow) + dagre
Backend Python FastAPI, async SQLAlchemy 2.0 + asyncpg
Database PostgreSQL 16
Migrations Alembic (75+ migrations)
Auth JWT (python-jose) + bcrypt, refresh token rotation
AI Anthropic Claude API (tiered model routing)
Embeddings Voyage AI (semantic search)
Scheduling APScheduler 3.x (async)
Analytics PostHog
Hosting Railway (auto-deploy on push to main)

Project Structure

patherly/
├── backend/
│   ├── app/
│   │   ├── main.py                 # FastAPI entry point
│   │   ├── api/endpoints/          # Route handlers (35+ endpoints)
│   │   ├── core/                   # Config, database, permissions, security
│   │   ├── models/                 # SQLAlchemy models
│   │   ├── schemas/                # Pydantic schemas
│   │   └── services/psa/           # PSA provider abstraction layer
│   ├── alembic/                    # Database migrations
│   └── tests/                      # Integration tests (100+)
├── frontend/
│   ├── src/
│   │   ├── components/             # UI components by domain
│   │   ├── pages/                  # Page components
│   │   ├── store/                  # Zustand stores
│   │   └── types/                  # TypeScript interfaces
├── docs/                           # Design docs, plans, ConnectWise reference
├── brand-assets/                   # SVGs, brand guide
├── CLAUDE.md                       # AI assistant project context
├── CURRENT-STATE.md                # Detailed feature status
└── CHANGELOG.md                    # Release history

Running Tests

# Backend integration tests
cd backend
pytest --override-ini="addopts="

# Frontend build (stricter than tsc --noEmit)
cd frontend
npm run build

Documentation

Document Purpose
CLAUDE.md Full project context for AI-assisted development
CURRENT-STATE.md Detailed feature status
03-DEVELOPMENT-ROADMAP.md Development roadmap
UI-DESIGN-SYSTEM.md Design system (Slate & Ice)
DEV-ENV.md Development environment setup
CHANGELOG.md Release history

License

Proprietary. All rights reserved.

Description
Troubleshooting decision tree application for MSP engineers - automatically generates professional documentation from guided diagnostic workflows
Readme 16 MiB
Languages
Python 54.7%
TypeScript 43.5%
HTML 1.1%
CSS 0.6%