Zenflow (by Zencoder) is an orchestration platform for AI-first engineering that replaces ad-hoc prompting with Spec-Driven Development workflows. It has agents draft/review specs, enforces RED/GREEN/VERIFY implementation loops, coordinates multiple AI agents in parallel, and bakes in automated verification so every change stays aligned with the approved spec. Teams use it to eliminate “prompt drift” and AI slop, keep multi-agent work debuggable, and ship complex features 4–10× faster with predictable quality.

What differentiates Zenflow from other AI coding assistants?

Zenflow allows for seamless parallelization of agents across your project without any conflicts. Agents work in independent environments that doesn't affect main codebase. That allows you to run tens or hundreds of agents meaning tens or hundreds of new feature or bug fixes being implemented simultaneously.

Can I control the agent's workflow?

You are in full control - review agent's work yourself or with another AI agent and steer it in the right direction during or after each step; opt out to fully autonomous working agent by automatically starting next tasks; or define your own custom workflows.

Does Zenflow support my existing IDE?

Zenflow is a standalone app, however you can open each agent's sandbox in your favourite IDE and continue the work there.

How do Zenflow and Zencoder work together in practice?

A typical flow looks like this: You define a spec or goal in Zenflow Zenflow analyzes the task, plans the work, and assigns it to the right agents Zencoder agents research the codebase, implement changes, write tests, and review results Zenflow verifies outcomes and coordinates retries or refinements The result: disciplined, spec-driven engineering, not prompt roulette.

What’s the difference between Zenflow and Zencoder?

Think of Zenflow as the brain and Zencoder as the engine. Zenflow (the brain) decides what needs to be done, in what order, and how to verify it. Zencoder (the engine) does the actual work, understanding the codebase, writing code, running tests, fixing issues, and shipping changes. On their own, each is powerful. Together, they operate like a real engineering system.

Factory ships droids. Zenflow ships engineering systems.

Factory.ai gives you Droids in a CLI and a desktop app. Zenflow gives you an orchestration layer: multi-agent swarms with built-in verification, a live engineering manager dashboard, and Work agents that handle everything beyond the codebase.

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Beyond Droids-in-a-CLI

A Droid in a terminal isn't an engineering operating system. Factory runs missions one Droid at a time inside a desktop app or CLI. Zenflow is the orchestration layer above any agent and any model, built for teams that need verified output, live DORA metrics, and proactive agents that ship work across the whole org.

Spec-Driven Workflows

Agents reference a single source of truth, your PRDs, specs, or architecture docs. Planning, implementation, and validation stay aligned. No drift, no scope creep.

Parallel Power

One agent works sequentially. A swarm works simultaneously. Track all agents working on different tasks within Kanban view.

Built-in Verification

Every workflow includes automated testing, cross-agent review, and quality gates. AI output is validated before you see it. Verification isn't optional, it's structural.

Model Diversity

Use Claude Code to review Codex's work, Gemini to write tests. Any CLI agent, any model, no Droid lock-in.

Deploy faster

Zenflow: A full engineering system.

Feature comparison betweenFactory.ai and Zenflow
Comparison Grid	Factory.ai	Zenflow
Primary Use	Coding missions launched one Droid at a time	Team-wide engineering + work orchestration across the org
Agent Model	Single Droid per mission	Multi-agent swarms with shared context and cross-model review
Verification	Droid self-review + PR checks	Committee-style multi-model verification before code reaches you
Parallel Execution	Capped by Droid Computer allocation	Hundreds of agents in isolated sandboxes
Multi-Repo Understanding	Mission-scoped, single-repo focus	Cross-repo dependency awareness with shared context
Editor & UX	Factory Desktop App + CLI only	Editor-agnostic, open any sandbox in your favourite IDE
Model Choice	Bundled model picker per Droid	BYO model + any CLI agent (Claude Code, Codex, Gemini, more)
Blast Mode	--	Run 4+ agents on the same task, pick the winner
Engineering Manager Dashboard	Factory Analytics as a separate add-on	Built-in DORA dashboard: cycle time, deployment frequency, investment allocation, team-level, live
Beyond Coding	Coding missions only	Zenflow Work agents run marketing, sales, ops, finance, HR across Slack, Gmail, Linear, Jira, Notion
Spec-Driven Workflows	Mission prompts, no enforced spec loop	Spec-Driven Development with RED/GREEN/VERIFY loops

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How it works

Describe, Build, Ship

Create

Describe the Work

Tell Zenflow what to build. Pick a workflow, feature, bug fix, refactor, or Auto. Use built-in templates or create custom patterns.

IMPLEMENT

AI-Guided Development

Agents execute while you supervise or step away. Built-in verification runs automatically. Cross-agent review catches issues.

Ship

Automated Quality Gates

Tests, builds, and security checks complete before you review. Only verified, production-ready code reaches your queue.

Scale

Parallel Execution

Run multiple tasks simultaneously without conflicts. Each task gets isolated environment. Track everything through kanban view.

Features

Stop launching missions. Start running engineering.

Factory.ai is a powerful Droid you launch one mission at a time. Zenflow is a different category: multi-agent orchestration with built-in verification, a live DORA dashboard, and Work agents that ship everything beyond code.

Multi-Agent Orchestration

A coordinated swarm of specialized agents, coding, testing, refactoring, review, verification, working as one system with shared context. No mission queue, no single-Droid ceiling.

Engineering Manager Dashboard

Live DORA metrics, cycle time, deployment frequency, and investment allocation, built into Zenflow. No six-figure analytics stack required.

Zenflow Work for the Whole Org

Proactive agents handle marketing, sales, ops, finance, and HR, reading Gmail, Slack, Jira, Linear, Notion, and your tools. Beyond coding, beyond Factory.

Multi-Repo Intelligence

Agents work across multiple repositories with full context. Understand service interactions, dependencies, and coordinate changes across your stack.

Built for teams shipping at scale

Orchestrate AI agents across your engineering org with the governance, security, and visibility enterprise teams require.

Security & Compliance

SOC 2 Type II, ISO 27001, and ISO 42001. Full audit trails, zero code storage, zero model training on your data.

Governance & Access Control

Approval gates, role-based permissions, and human-in-the-loop policies. Define who can deploy what and when.

Workflow Standardization

Enforce spec → plan → build → verify across every team. Pre-built and custom workflows that match how your org ships.

Multi-Repository Intelligence

Agents reason across service boundaries, shared dependencies, and cross-repo impacts. 5 repos or 500.

Flexible Deployment, Models & Billing

Cloud, on-premise, or hybrid. BYOK for existing OpenAI and Anthropic agreements. Enforce approved model policies org-wide.

Ecosystem Integration

GitHub, GitLab, Jira, CI/CD, SSO via Okta and Google Workspace. Agents work inside your toolchain, not alongside it.

Frequently asked questions

: Zenflow (by Zencoder) is an orchestration platform for AI-first engineering that replaces ad-hoc prompting with Spec-Driven Development workflows. It has agents draft/review specs, enforces RED/GREEN/VERIFY implementation loops, coordinates multiple AI agents in parallel, and bakes in automated verification so every change stays aligned with the approved spec. Teams use it to eliminate “prompt drift” and AI slop, keep multi-agent work debuggable, and ship complex features 4–10× faster with predictable quality.
: Zenflow allows for seamless parallelization of agents across your project without any conflicts. Agents work in independent environments that doesn't affect main codebase. That allows you to run tens or hundreds of agents meaning tens or hundreds of new feature or bug fixes being implemented simultaneously.
: You are in full control - review agent's work yourself or with another AI agent and steer it in the right direction during or after each step; opt out to fully autonomous working agent by automatically starting next tasks; or define your own custom workflows.
: Zenflow is a standalone app, however you can open each agent's sandbox in your favourite IDE and continue the work there.
: A typical flow looks like this:

You define a spec or goal in Zenflow

Zenflow analyzes the task, plans the work, and assigns it to the right agents

Zencoder agents research the codebase, implement changes, write tests, and review results

Zenflow verifies outcomes and coordinates retries or refinements

The result: disciplined, spec-driven engineering, not prompt roulette.
: Think of Zenflow as the brain and Zencoder as the engine.

Zenflow (the brain) decides what needs to be done, in what order, and how to verify it.

Zencoder (the engine) does the actual work, understanding the codebase, writing code, running tests, fixing issues, and shipping changes.

On their own, each is powerful. Together, they operate like a real engineering system.