Zenflow is built for AI-first engineering teams

The platform that coordinates AI agents to build reliable software. Spec-driven workflows, built-in verification, and multi-agent execution that actually works.

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AI-first Engineering without AI slop

Get pre-built workflows for features, bug fixes, and refactors—or build custom ones. AI agents follow your specs, execute tasks in parallel, and verify code before you review it.

Spec-Driven Workflows

Agents read your specs, PRDs, or architecture docs before writing code. Implementation stays locked to requirements. No drift.

Parallel Execution

Run multiple tasks simultaneously in isolated environments. Agents coordinate within workflows while your codebase stays clean.

Built-in Verification

Every workflow runs automated tests and cross-agent code review. Failed tests trigger fixes. Code ships only after passing all gates.

How it works

Describe, Build, Ship

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Create

Start With a Task

Describe what to build, fix, or change. Pick from pre-built workflows or define your own steps — Zenflow handles the execution from there.

Implement

Agents Do the Work

AI picks up the task and follows your workflow step by step — writing code, running verification, and flagging issues automatically.

Inspect

Point at What You Mean

Open the built-in browser, click any element in your live app, and copy its context directly into Zenflow.

Automate

Scale Without Waiting

Run agents in parallel, each in isolated environments. Schedule recurring tasks — PR reviews, bug triage, backlog grooming — and let Zenflow run them on autopilot.

Features

Built for Scale

Your entire engineering workflow as agent-driven infrastructure.

Multi-Agent Orchestration

Coordinated sets of specialized agents: building, testing, reviewing, and refactoring code across your entire stack.

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Pre-Built + Custom Workflows

Pick a built-in workflow or define your own. Each one controls how agents plan, execute, and verify, so your team's process runs the same way every time.

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Scheduled Automation

Trigger agent workflows on a schedule, a webhook, a PR event, or a Jira ticket update. Agents run in the background and deliver results when they're done.

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Cross-Agent Review

One agent writes code. A second agent from a different model provider reviews it. A third audits for accuracy, security, and spec adherence.

Model-Agnostic Platform

Use Zencoder models out of the box, or bring your own API keys and mix providers within the same workflow.

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Multi-Repo Intelligence

Agents index and search across all your repositories. Cross-repo dependency mapping with daily updates. Changes in one repo account for dependencies across your entire stack.

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MCP-Powered Integrations

100+ tool connections via Model Context Protocol. GitHub, Jira, Linear, Sentry, Datadog, CircleCI, and more. Agents pull context from your entire toolchain.

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Built-in Browser

Preview your running app at localhost, browse docs, and verify agent work without leaving Zenflow. Copy any element and ask the agent to fix it.

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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:
  1. You define a spec or goal in Zenflow
  2. Zenflow analyzes the task, plans the work, and assigns it to the right agents
  3. Zencoder agents research the codebase, implement changes, write tests, and review results
  4. 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.