In the field guide

enola

enola.tech

Enola is a local CLI and MCP server tool for architectural regression testing that detects dependency cycles, layer violations, and unintended change spread in codebases. It compares the architecture before and after code changes to report only the structural regressions introduced by the change, enforcing user-defined structural rules.

The product, beyond the pitch

Editorially reviewed · Sources checked Sep 14, 2026

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A good fit for

Developers and teams wanting to enforce architectural rules and prevent structural regressions in code changes.

Know the limitations

Requires local installation and runs on the user's machine; no cloud or model-based processing.

What you can do

Architectural regression testing to catch structural regressions before code merges.
Automate architectural regression checks integrated with coding agents and CI pipelines.

Features

Not confirmed yet.

Integrations

Integrates with AI coding agents such as Claude Code, Codex, and GitHub Copilot via MCP protocol.

Platforms & data export

Not confirmed yet.

enola pricing

No plans recorded yet.

THE COST FOR YOUR TEAM

Go beyond the starting price.

Published plan prices for your team size and usage. Results update as you type. Taxes, currency conversion and unlisted add-ons are excluded, and anything the source did not state is called out rather than guessed.

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Known monthly subtotal

$0/month

1 of 1 tools could not be priced with these inputs, so this is not the full cost.

Plan costs based on your requirements
Tool / plan	Monthly	Per year	What this assumes
enola	No pricing recorded yet. Check the official site, or ask the owner to add it.

A practical workflow

Maps the codebase before a change to create a baseline architecture snapshot.
During a change, provides exact answers about dependencies and impact to the coding agent.
After the change, rebuilds the graph, compares it with the baseline, and returns new findings and regressions.

Based on the sources below. Editorial review does not imply hands-on product testing.

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Developer tools

enola vs TwitterAPI.io enola vs llmtxt enola vs Shipfa enola vs Relayevals

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What changed

1 recorded change · latest 9/14/2026

Changes to the facts recorded here, not a live scan of every vendor update. Save this tool to follow updates in your account.

9/14/2026
Updated: best for, features, integrations, limitations, sources, summary, use cases, walkthrough
See recorded changes
bestFor
Before: ["Developers and teams wanting to enforce architectural rules and prevent unintended structural changes."]
After: ["Developers and teams wanting to enforce architectural rules and prevent structural regressions in code changes."]
features
Before: ["Detects dependency cycles introduced by code changes."]
After: []
integrations
Before: []
After: ["Integrates with AI coding agents such as Claude Code, Codex, and GitHub Copilot via MCP protocol."]
limitations
Before: []
After: ["Requires local installation and runs on the user's machine; no cloud or model-based processing."]
sources
Before: [{"url":"https://enola.tech/","label":"enola — architectural regression testing for AI-assisted development"}]
After: [{"url":"https://enola.tech/","label":"enola — architectural regression testing for AI-assisted development"},{"url":"https://enola.tech/docs/","label":"enola docs: install the MCP server and connect your agent"}]
summary
Before: "Enola is a local CLI and MCP server tool for architectural regression testing and change-impact analysis that runs on your machine without uploading data. It maps your codebase before and after changes to detect structural regressions such as dependency cycles and layer violations, reporting only the changes introduced and failing only the rules you choose."
After: "Enola is a local CLI and MCP server tool for architectural regression testing that detects dependency cycles, layer violations, and unintended change spread in codebases. It compares the architecture before and after code changes to report only the structural regressions introduced by the change, enforcing user-defined structural rules."
useCases
Before: ["Architectural regression testing to catch structural regressions before code merges."]
After: ["Architectural regression testing to catch structural regressions before code merges.","Automate architectural regression checks integrated with coding agents and CI pipelines."]
walkthrough
Before: ["Run 'enola check' to compare architecture before and after a change, reporting regressions and failing on declared policies.","Use 'enola --explain' to generate an architecture snapshot without setup or baseline."]
After: ["Maps the codebase before a change to create a baseline architecture snapshot.","During a change, provides exact answers about dependencies and impact to the coding agent.","After the change, rebuilds the graph, compares it with the baseline, and returns new findings and regressions."]

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