Zencoder
docs.zencoder.ai
Websites- [Agents](https://docs.zencoder.ai/admin/agents.md): Create and manage AI agents that automate coding tasks, improve legacy code, and integrate AI into your…
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Zencoder Docs
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- Agents: Create and manage AI agents that automate coding tasks, improve legacy code, and integrate AI into your development workflow.
- API Keys: Create and manage API keys for programmatic access to Zencoder.
- Billing: View your current plan, manage payment methods, and adjust team seats.
- Connections: Connect your version control system to enable repository access and autonomous agent runs.
- Admin Dashboard: Manage your Zencoder organization — agents, connections, repositories, quotas, billing, users, SSO, and API keys.
- Privacy & Security: Manage active sessions, devices, and multi-factor authentication for your Zencoder account.
- Quota Management: Monitor credit usage, set per-user caps, and manage your organization's quota allocation.
- Repositories: Add repositories for code indexing and autonomous agent runs.
- SSO: Configure Single Sign-On for your Zencoder organization.
- User Management: Invite team members, assign roles, and manage access to your Zencoder organization.
- IDE Agent Changelog: Product updates for Zencoder IDE Agents (VS Code & JetBrains)
- Claude Code: Use Anthropic's Claude Code agent through Zenflow.
- Codex (OpenAI): Use OpenAI's Codex agent through Zenflow.
- Custom Models: Connect your own AI models or agents to Zencoder.
- Gemini: Use Google's Gemini agent through Zenflow.
- Overview: Zenflow supports multiple AI coding agents and models from different providers.
- Zencoder CLI: The native Zencoder agent for IDE Agents and Zenflow.
- Export Control & Geographic Restrictions: Information about Zencoder service availability based on U.S. export control and economic sanctions laws.
- Pricing & Plans: Zencoder usage-based pricing — plans, credits, and top-ups.
- Privacy & Ethics: Data privacy, security practices, and ethical AI policies.
- Refund Policy: Frequently asked questions about Zencoder refund policies, cancellations, and subscription management.
- AI Agents: Use prebuilt or create custom AI agents (we also call them Zen Agents) that can be called for selected code or entire files directly in your IDE
- Analytics Dashboard: Track usage patterns and monitor team engagement with Zencoder across your organization
- Analytics API: Ingest user analytics data directly into your existing analytics platform
- Coding Agent: Multi-file, multi-language code generation and modification with deep codebase understanding
- Context Management: How Zencoder agents gather, prioritize, and use context from your codebase, files, and external tools
- Configuration: BYOM (Bring Your Own Model) — configure custom or private AI model endpoints with Zencoder.
- Integrations and MCP: Connect Zencoder with your tools and workflows through multiple integration paths
- Keyboard Shortcuts: Quick reference for all Zencoder keyboard shortcuts and commands in VS Code and JetBrains IDEs
- MCP Configuration Guide: Advanced guide to configuring, building, and troubleshooting Model Context Protocol servers in Zencoder
- Models: Choose which LLM powers your chat, understand cost multipliers, and optionally bring your own API key
- Multi-Repository Search: Index and search across multiple repositories to enable AI agents to understand and work with complex multi-repo architectures
- Private Deployments: Keep Zencoder inside infrastructure you control
- Security & Privacy: How Zencoder protects your code, data handling practices, compliance certifications, and enterprise security controls
- Skills: Give agents new capabilities and expertise through reusable instruction packages
- Team Administration: Manage your organization — seats, SSO, audit logs, credit controls, and repository access
- Universal AI Platform: Unifying the world's most popular AI coding CLIs with Zencoder directly in your IDE
- Core Concepts: Learn the key concepts that power Zencoder — from the Coding Agent and Skills to Multi-Agent Orchestration. Understanding these fundamentals will help you work more effectively with AI-assisted coding.
- Community & Support: Join the Zencoder community, get help, and share feedback.
- Quickstart: Get started with Zencoder's IDE Agents for VS Code, JetBrains IDEs, and Android Studio.
- The 10x Engineer - Professional AI Certificate
- Module 1: Foundations
- Module 2: Deep Codebase Understanding
- Module 3: Custom Workflows
- Module 4: Automations with Remote Agents
- Module 5: Spec Driven Development
- Module 6: Complex Use Cases
- Module 7: Working at an Organization
- Module 8: How to Drive AI Adoption
- AI Coding Foundations
- CI/CD Automation and Autonomous Agents
- Enterprise Security, Compliance, and Deployment
- Integration Ecosystem - Connecting Your Development Workflow
- Measuring Success and Driving Adoption
- Enterprise Best Practices Overview
- Team Collaboration and Knowledge Sharing with Zen Agents
- Building an Application with Multi-Model Workflows: A step-by-step guide to building a full feature using Zenflow's multi-model workflow for efficient token usage and high-quality output.
- Connect OpenRouter as a Custom Model: Use OpenRouter to access 200+ models through Zencoder's BYOM (Bring Your Own Model) configuration.
- Getting Debug Information: Learn how to gather and share debug information to help us troubleshoot issues with Zencoder more effectively.
- OpenAI BYOK Issues: Troubleshooting GPT-5 access errors when using your own OpenAI API key
- CLI Installation Issues on Windows: Troubleshooting failed installations of Claude Code and Codex on Windows
- Zenflow Changelog: Product updates for Zenflow — the desktop app for multi-agent task orchestration
- Zenflow Work: Connect AI agents to the tools your team already uses. Boost productivity across Product, Sales, Marketing, Operations, Finance, HR, and Customer Success.
- Automations: Put recurring business tasks on autopilot — reports, digests, follow-ups, and more.
- Engineering Managers: Put team metrics, PR health, and sprint pulse tracking on autopilot with the Engineering Manager Dashboard automation.
- Integrations: Connect Zenflow Work to Gmail, Google Calendar, Google Drive, HubSpot, Miro, Notion, Slack, Telegram, and Discord.
- Amplitude: Connect Zenflow Work to Amplitude to access product analytics, usage data, and user behavior insights.
- Integrations Catalog: Browse over 2,000+ third-party integrations and APIs available via the Zenflow Pipedream catalog.
- PostgreSQL: Connect Zenflow Work to PostgreSQL to query, inspect, and update databases.
- Supabase: Connect Zenflow Work to Supabase to query databases, manage auth, and list storage files.
- Discord: Connect Zenflow Work to Discord to send messages, monitor channels, and automate server communications.
- Dropbox: Connect Zenflow Work to Dropbox to store, search, and manage files securely.
- GitHub Integration: Connect Zenflow Work to GitHub for repository management and pull requests.
- Google Workspace: Connect Zenflow Work to Google Suite (Gmail, Calendar, Google Drive) to read, draft, and send emails autonomously; read events, check availability, and create invites; search, read, create, and organize documents.
- Greenhouse: Connect Zenflow Work to Greenhouse to streamline talent acquisition and manage your structured hiring pipeline.
- HubSpot: Connect Zenflow Work to HubSpot for full CRM access — contacts, deals, tickets, campaigns, and workflows.
- Jira Integration: Connect Zenflow Work to Jira for issue tracking and task synchronization.
- Linear Integration: Connect Zenflow Work to Linear for issue tracking and task synchronization.
- Salesforce: Connect Zenflow Work to Salesforce to manage CRM accounts, contacts, and opportunities.
- Miro: Connect Zenflow Work to Miro to create and update boards and visual collaboration spaces.
- Notion: Connect Zenflow Work to Notion to read and update pages, databases, and wikis.
- Stripe: Connect Zenflow Work to Stripe to manage billing, subscriptions, and financial data.
- Google Sheets: Connect Zenflow Work to Google Sheets to read, write, and format spreadsheet data.
- Sentry: Connect Zenflow Work to Sentry to access error monitoring, incident tracking, and application health data.
- Slack: Connect Zenflow Work to Slack to send messages, monitor channels, and automate workspace communications.
- Telegram: Connect Zenflow Work to Telegram to send messages, receive updates, and automate channel communications.
- Zoom: Connect Zenflow Work to Zoom to schedule meetings, read transcriptions, and manage video conferencing.
- MCPs (Model Context Protocol): Extend Zenflow Work agents with additional tools and integrations using MCPs.
- Settings: Configure preferences, projects, and profile in Zenflow Work.
- Auto: Let the agent decide the best approach — fastest path from prompt to results.
- Brainstorm: Generate ideas, explore options, and think through problems with structured ideation.
- Deep Brainstorm: Extended multi-step brainstorming with deeper exploration, analysis, and structured reasoning.
- Research: Web research, competitive analysis, and structured data gathering with sourced outputs.
- Write: Drafts, reports, emails, documentation, and other polished written content.
- Archiving Tasks: Clean up completed tasks and manage disk space in Zenflow.
- Blast Multiple Agents: Run multiple AI agents in parallel across different tasks for maximum throughput.
- Built-in Browser: Preview live UI state, browse the web, and verify agent work—all without leaving Zenflow.
- Git and Worktrees: How Zenflow uses Git worktrees for isolated, parallel task execution.
- Integrations Overview: Connect Zenflow to Github, Jira, Linear, Amplitude, Sentry, and more.
- Amplitude: Connect Zenflow Work to Amplitude to access product analytics, usage data, and user behavior insights.
- Integrations Catalog: Browse over 2,000+ third-party integrations and APIs available via the Zenflow Pipedream catalog.
- PostgreSQL: Connect Zenflow to PostgreSQL to query, inspect, and update databases.
- Supabase: Connect Zenflow to Supabase to query databases, manage auth, and list storage files.
- Discord: Connect Zenflow to Discord to send messages, monitor channels, and automate server communications.
- Dropbox: Connect Zenflow to Dropbox to store, search, and manage files securely.
- GitHub Integration: Connect Zenflow to GitHub for repository management and pull requests.
- Google Workspace: Connect Zenflow to Google Suite (Gmail, Calendar, Google Drive) to read, draft, and send emails autonomously; read events, check availability, and create invites; search, read, create, and organize documents.
- Greenhouse: Connect Zenflow to Greenhouse to streamline talent acquisition and manage your structured hiring pipeline.
- HubSpot: Connect Zenflow to HubSpot for full CRM access — contacts, deals, tickets, campaigns, and workflows.
- Jira Integration: Connect Zenflow to Jira for issue tracking and task synchronization.
- Linear Integration: Connect Zenflow to Linear for issue tracking and task synchronization.
- Salesforce: Connect Zenflow to Salesforce to manage CRM accounts, contacts, and opportunities.
- Miro: Connect Zenflow to Miro to create and update boards and visual collaboration spaces.
- Notion: Connect Zenflow to Notion to read and update pages, databases, and wikis.
- Stripe: Connect Zenflow to Stripe to manage billing, subscriptions, and financial data.
- Google Sheets: Connect Zenflow to Google Sheets to read, write, and format spreadsheet data.
- Sentry: Connect Zenflow Work to Sentry to access error monitoring, incident tracking, and application health data.
- Slack: Connect Zenflow to Slack to send messages, monitor channels, and automate workspace communications.
- Telegram: Connect Zenflow to Telegram to send messages, receive updates, and automate channel communications.
- Zoom: Connect Zenflow to Zoom to schedule meetings, read transcriptions, and manage video conferencing.
- Core Concepts: The mental model behind Zenflow — repositories, tasks, workflows, worktrees, and agents.
- MCPs (Model Context Protocol): Extend Zenflow agents with additional tools and integrations using MCPs.
- Multi-Agent Orchestration: Assign different models and agent presets to each workflow step for planning, implementation, and review.
- Agent Presets: Define named model configurations and assign them to workflow steps for sequential multi-model execution.
- Review Rubric: Structured evaluation criteria for AI code review steps — paste into review step instructions for consistent, measurable feedback.
- Subagent Pipelines: Spawn isolated sub-processes with different models, contexts, and skills for parallel execution and clean context isolation.
- Repository Configuration: Automate your development workflow with custom scripts and environment setup using .zenflow/settings.json
- Repositories Overview: Add and manage repositories in Zenflow to organize your AI-driven development work.
- Quickstart: Install Zenflow and run your first Code task.
- Saved Prompts: Create reusable prompt shortcuts and insert them quickly in chat or task descriptions
- Scheduled Automation: Set up recurring agent tasks that run on a schedule — two automation types for different needs.
- Settings: Configure preferences, repositories, and profile in Zenflow.
- Skills: Create, manage, and use agent skills in Zenflow — reusable instruction packages that extend agent capabilities.
- SubAgents: Run specialized agents as sub-processes with different contexts, models, and tools
- Support & Troubleshooting: Get help with Zenflow — common fixes, log locations, and how to reach support.
- Workflows: Choose the right Zenflow workflow for your task — from quick auto-mode to fully custom pipelines.
- Tasks Overview: Create, run, and manage tasks in Zenflow for AI-driven code changes.
- Tracking Changes: Monitor, review, and manage code changes made by AI agents in Zenflow.
- VPS Setup: Setup Zenflow on a VPS for remote access
- Auto: Let the agent decide the best approach — fastest path from prompt to working code.
- Custom Workflows: Design your own workflow steps with Markdown files — full control over phases, artifacts, and agent assignments.
- Fix a Bug: Structured investigation, solution design, and implementation workflow for regressions and defects.
- Multi-model: Assign different AI models to planning, implementation, and review phases for cost-optimized quality.
- Requirements First: Full specification-driven development — PRD, technical spec, implementation plan, and AI code review.
- Spec First: Generate a technical specification before coding — review and approve the plan before implementation.
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