What's new in JuhJuh
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Workflows are now Charms
Same feature, new name. The automation builder (canvas, steps, runs, AI builder) is now called Charms across the product. Bookmarks and integrations are unaffected — old links redirect automatically. The platform name 'JuhJuh' draws from a West African word meaning 'magic, charm, supernatural power'; Charms surfaces that lineage in the product.
Bidirectional Slack integration
Full workspace integration with message sync, ticket creation via emoji reactions, link unfurl with Block Kit cards, thread mirroring, intent-classified message routing, and per-channel AI guidance.
Public documentation site
19 documentation pages at docs.juhjuh.com with full-text search, sidebar navigation, TOC, prev/next links, per-page OG images, structured data, and sitemap. Mobile responsive with dark mode.
Agent platform with autonomous reasoning
Conversational AI agents with autonomous reasoning, 200+ tool integrations across 23 categories, 11 specialist agents, trigger rules (schedule and event-based), skill tracking, and anti-hallucination safeguards.
Brand voice AI with 7-step wizard
Define your writing style across 6 core traits and 15 tone contexts. AI enforces your brand voice in all 75 content-producing prompt templates. Humanizer integration for consistent tone.
Deployment system with one-click deploys
Auto-generated deployment configuration from project settings, semantic versioning, real-time log viewer, service controls, auto-firewall, auto-database creation, and private registry support.
Encrypted vault with secrets management
Encrypted secrets storage with vault snapshots, rollback, diff comparison, auto-discovery of environment variables from configuration files, and atomic deployment.
Hybrid vector search for knowledge base
8 scoring signals combine full-text ranking, semantic similarity, confidence weighting, usage tracking, and graph-based relevance. Knowledge graph with cross-entry references.
Subdomain routing per organization
Each organization gets its own subdomain with real-time updates, cross-subdomain cookies, single-org auto-redirect, and reserved slug protection.
200+ integrations across 23 categories
Integration registry expanded from 14 to 200+ integrations spanning CRM, databases, CI/CD, e-commerce, social, storage, IoT, security, and more. Agent tool execution engine connects to 170+ integration clients.
Visual workflow graph
Interactive D3.js and Dagre workflow graph with drag-and-drop, zoom, pan, minimap, search, fullscreen, and autoplay controls for ticket dependencies.
Auto-split and parallel prompt execution
Oversized tickets automatically decompose when prompts exceed limits. Dependency-based parallel execution runs prompts concurrently when no unmet dependencies exist.
JetBrains and VS Code editor plugins
JetBrains plugin with file type detection, JSON schema validation, and custom icons. VS Code plugin with syntax highlighting, language configuration, and schema support.
Async agent instructions generation
Agent instructions now generate automatically when new entities (organizations, projects, teams, users) are created. Background processing handles generation without blocking the UI.
Project configuration defaults
Default project key renamed for clarity. Flake8 warning suppressed in configuration module.
Test isolation for workspace
Test suite now uses an isolated workspace to prevent interference with production repositories.
Branding documentation moved to top-level directory
Brand voice guide, marketing features, and brand guidelines are now centralized for easier access across teams.
8 prompt templates for ticket workflows
New prompt templates cover analysis, triage, rewrite, expansion, grooming, knowledge extraction, PRD generation, and code review workflows.
Real-time error log monitoring
JuhJuh now connects to error log sources across your infrastructure (SSH servers, Kubernetes clusters, webhook endpoints) and monitors them continuously. AI analyzes errors, creates structured tickets, and can generate fixes automatically.
Backlog health and auto-grooming
Automated backlog maintenance detects stale tickets, applies priority decay, auto-archives abandoned work, and generates grooming suggestions.
Project insights and analytics dashboard
Velocity charts, cycle time breakdowns, execution success rates, prompt effectiveness scores, and token cost tracking by source.