A local-first code health tool for developers and engineering teams that scores files, detects secrets and security smells, and enforces gates in editors and CI.

Iris Code Product Overview

Is Iris Code Right for You?

Liners prepares and updates these highlights as product information changes. Editorial standards

Best For

  • Nigerian dev teams
  • Engineering leads

What It Does Well

  • Local code scoring
  • Secret leak detection

Things to Check

  • Editor support list
  • CI tool support

About Iris Code

Screenshot of Iris Code website

Iris Code is a local-first code health and enforcement tool for professional developers and engineering teams that want deterministic, rule-based checks for AI-assisted and human-written code.

Key capabilities include:

  • Per-file health scoring (0 to 100) on save, based on measurable signals such as complexity, file size, smells, and security indicators, with consistent results for the same file.
  • Security and secrets detection for committed credentials (API keys, tokens, passwords) and common security smells such as eval/exec usage, SQL built by string concatenation, insecure randomness, weak hashing, and unchecked process execution, with secret values masked in reports.
  • Config-driven quality standards via a shared .irisconfig.json, including Gate Preview against six presets, plus enforceable quality gates that can block pushes or CI builds and report the failing rule, file, and line.
  • AI agent alignment via MCP and instruction file generation, exposing tools like iris_check and iris_config, plus writing rules into files such as AGENTS.md and CLAUDE.md so coding agents follow the same limits.

Available via VS Code and VS Code-compatible editors (Visual Studio Marketplace and Open VSX), JetBrains IDEs (JetBrains Marketplace), and the @iris-code/cli for terminal, git hooks, and CI. A web workspace and cloud audits are available on iriscode.co.

Target users include teams adopting AI coding tools, consultancies, and organisations that need enforceable standards for code quality, security hygiene, and review readiness.

Notable for privacy-sensitive workflows, Iris Code runs editor, CLI, hook, and CI analysis locally (no source upload for those paths), while offering optional cloud audits that retain reports rather than source code, a useful fit for companies with strict data handling requirements, including regulated environments common across African markets.

Iris Code Facts

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Frequently Asked Questions About Iris Code

Iris Code is a local-first code health and enforcement tool that analyzes your source code for complexity, security issues, secrets, duplication, and maintainability problems directly on your machine. You install it as an editor extension (VS Code or JetBrains), a CLI, or CI/git hooks, configure rules in a shared .irisconfig.json, and it assigns per-file health scores and enforces quality gates that can block pushes or builds when code falls below your standards.

Iris Code uses a freemium pricing model: core per-file analysis and agent guidance are available for free. The Pro tier costs $6 per user per month, and the Teams tier is billed per seat monthly at region-resolved rates and includes Pro for each member plus shared workspace features and higher cloud audit allowances.

You can sign up for Iris Code by creating an account through the iriscode.co web workspace, then installing the appropriate editor extension or CLI and connecting it to your projects. From there you configure your project rules in .irisconfig.json and, if needed, set up a Pro or Teams subscription and cloud audits in the workspace.

No, Iris Code does not offer a mobile app. It is available through desktop IDE extensions, the web workspace, and the CLI for terminal and CI use.

Iris Code is best suited for professional developers and engineering teams that want deterministic, enforceable standards for code quality and security, including those using AI-assisted coding. It is also a good fit for consultancies and organisations with strict data handling requirements that need local-first analysis and configurable quality gates.

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