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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Trusted by engineers at
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
Describe the Work
Create a task and describe what you want to build. Choose from pre-built workflows or create custom ones.
AI-Guided Development
Agents pick up tasks and execute following workflow steps. Built-in verification runs automatically
Parallel Execution
Don't wait for agents to finish. Start the next task immediately—each runs in isolated environments without code conflicts.
AI doesn't need better prompts. It needs orchestration.
Hear our CEO explain why Zenflow anchors AI to three engineering pillars—turning unpredictable agent behavior into production-grade software.
Features
Built for Scale
Orchestration, workflows, and intelligence designed for production engineering—not prototypes
Multi-Agent Orchestration
Coordinated swarm of specialized agents—coding, testing, refactoring, review, verification—working as one system with shared context.
Pre-Built + Custom Workflows
Battle-tested workflows for features, bugs, and refactors. Run on autopilot or with human review. Extend or build your own.
AI-First Project Management
Projects, tasks and kanban views show what every agent is doing. Complete visibility across your entire AI fleet.
Multi-Repo Intelligence
Agents work across multiple repositories with full context. Understand service interactions, dependencies, and coordinate changes across your stack.
Frequently asked questions
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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.
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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.
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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.
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Zenflow is a standalone app, however you can open each agent's sandbox in your favourite IDE and continue the work there.
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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
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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.
FEATURES
What You Get
Parallel Project Execution
Built-in verification means no waiting. Start the next task while agents finish the current one. Scale from one agent to your entire fleet.
AI-First Project Management
Projects, tasks, subtasks, kanban views, and inbox make AI work visible and organized. Clear picture across all your agents.
Auto-Generated implementation plan
Workflows break into sequential tasks automatically. Ready for autopilot or human review. Less babysitting, more producing.
Agent Diversity ??
Different model families (Claude, GPT, etc.) challenge each other's assumptions and catch blind spots. Reduces errors, increases correctness.
WHO IT'S FOR
Built for AI-First Coders
Senior Engineers
You own the architecture. Agents handle the implementation.
Technical Vibecoders
PMs, designers, and builders who think in outcomes, not syntax.
Forward-Looking Teams
Standardize AI workflows. Guarantee quality. Ship faster, safer.
WHAT TEAMS SAY
From Hit-or-Miss to Production-Grade
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