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The high-level description of the relationship between Zencoder and Zenflow is that Zenflow is the workflow brain and Zencoder executes the work. You may have noticed some naming confusion: Zencoder is not only the name of the company and of its AI plug-in for IDEs, but it is also the name of its in-house coding agent, which is one of four options for Zenflow (the others are Claude Code, Codex, and Gemini) and one of about nine models available to the Zencoder plug-in.
When you start a Zenflow project, you’re offered a choice of standard workflows: Quick Change, Fix Bug, Spec and Build, or Full SDD Workflow, depending on scope. The wider the scope, the more structure you need in the workflow to keep the implementation from drifting away from the requirements. You can also define your own custom workflows, perhaps to conform to your shop’s standards.
Zenflow can run multiple tasks in parallel in isolated environments. The agents coordinate within workflows without corrupting your codebase.
Zenflow also automates verification of its changes. Every workflow runs automated tests and cross-agent code review. Failed tests trigger automatic fixes. Your code ships only after passing all the verification gates.
Zenflow projects are broken down into tasks, and those are divided into subtasks and chats. Each task runs inside its own isolated Git worktree. You can view the status of all tasks in Kanban boards or stacked list views.
Zenflow supports multiple workflows, from quick changes all the way up to full spec-driven development. You can also define custom workflows.
Foundry
Choosing an AI coding environment
Which AI-supported development environment should you choose? As we’ve seen, there are plenty of good options.
GitHub Copilot is one of the most mature AI coding plug-ins for VS Code, and it supports a wide range of AI models.
Google Antigravity 2.0 is a standalone desktop application that is an independent, agent-focused surface. Antigravity IDE is a separate download that looks and feels similar to the original Antigravity. Antigravity CLI is a way to invoke, monitor, and interact with Antigravity agents from your terminal. These tools are among the best ways to take advantage of Gemini models.
JetBrains Air is a relatively new agentic development environment that allows you to provide your own subscriptions or API keys for OpenAI, Anthropic, and Google models.
Kiro IDE supports both vibe-coding and spec-driven development flows. With my free plan, Kiro IDE currently supports two Claude models.
Zed is about the fastest IDE I have used, and it integrates with a flock of language models, mostly using a “bring your own key” paradigm. Its advanced features include collaborative coding and remote development.
Zenflow supports multiple workflows, from quick changes all the way up to full spec-driven development. You can also define custom workflows. Zenflow works with the Zencoder coding agent as well as Claude Code, Codex, and Gemini.
There is no winner: It’s really a matter of which tool fits your use case and makes you happy. If I could have everything I wanted in one tool, I would take the speed and power of Zed, the spec-driven development capabilities of Kiro and Zenflow, and the agentic capabilities of GitHub Copilot, Google Antigravity 2.0, and JetBrains Air.
