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AI · March 27, 2026

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Anvil – Desktop App for Spec Driven Development

Very excited to share Anvil. I built Anvil to take back control when working with parallel coding agents. It comes with one click worktree isolation, and first class spec support. Claude Code and similar coding TUIs are very eager to get into writing code, even before their human baby sitter fully understands the implication of what they are about to build. The core insight with Anvil is that it is much easier to write high quality code which matches the author's intent after iterating on an external plan with your agent. Align on the architecture, implementation, and verification strategy…

In plain words

Anvil is a desktop application designed for developers working with AI coding agents. It provides one-click worktree isolation and built-in specification support to help maintain control over parallel coding processes. The tool emphasizes planning before execution, allowing users to align on architecture and implementation strategy in markdown files before agents begin writing code. Anvil addresses workflow friction in AI coding environments by offering better organization and context management than existing TUI-based tools.

written from the facts on this page · September 2026

From the sources

In the maker’s words, at launch

Very excited to share Anvil. I built Anvil to take back control when working with parallel coding agents. It comes with one click worktree isolation, and first class spec support. Claude Code and similar coding TUIs are very eager to get into writing code, even before their human baby sitter fully understands the implication of what they are about to build. The core insight with Anvil is that it is much easier to write high quality code which matches the author's intent after iterating on an external plan with your agent. Align on the architecture, implementation, and verification strategy in a markdown file, then execution is pretty straightforward. This is not a new concept, but the user experience within TUI apps for this workflow is pretty shit. Claude creates non-semantic plan names like "aquamarine-owl" that are trapped within a single agent context. Spinning up multiple agents to check on different aspects of a plan is annoying and slow, and managing terminal tabs is pure hell. So I built anvil, this is a fully open source (MIT license) project.

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