Codapult Guard helps teams preserve the architecture that makes their project work as it changes. It maps a JavaScript or TypeScript codebase, lets the team approve project-specific boundaries, and checks future changes locally and in CI. AI agents can use the same project context and verification results as developers.
A type checker can confirm that code is valid TypeScript. It cannot know that this project requires client components to stay away from persistence modules. Once the team approves that boundary, Guard can detect a violating import in changed files and show which rule was triggered.
Project boundary: Client → Server Action → Service → Repository → Database
Possible regression: Client ─────────────────────────────────────→ Database
Guard discovers the architecture in the repository; it does not prescribe one universal structure or activate proposed rules without approval.
Requirements: Node.js >=20.19 and a JavaScript or TypeScript project.
# pnpm
pnpm add -D @codapult/guard
pnpm exec codapult-guard init
# npm
npm install --save-dev @codapult/guard
npx codapult-guard initReview the generated project model, proposed rules, contracts, and baseline under
.codapult/guard/ before relying on the results. Then run Guard's architecture checks:
pnpm exec codapult-guard verify --no-project-checks --tools offverify can run your configured project checks and detected adapters. The flags above limit this
run to Guard's built-in checks. With npm, run npx codapult-guard verify --no-project-checks --tools off.
See the complete guide for initialization and daily workflows.
Install a managed instruction block for your agent so it knows when to load Guard context and run verification:
pnpm exec codapult-guard install-agent codexSupported hosts and MCP setup are in the AI-agent integration guide and host integration guides.
The MCP server uses host-managed local stdio, with no network listener or application-level authentication. The host and operating system control process access and workspace permissions; see the security model.
Choose a preset from the existing workflow templates and follow only the hosting steps for that level of protection. Most projects can start with standard PR checks.
| Preset | Use it when | Guide |
|---|---|---|
| PR checks | You want Guard findings and a required check on ordinary pull requests. | GitHub PR checks |
| Trusted PR verification | The Guard check must come from a protected workflow source, including for fork PRs. | Trusted PR setup |
| Merge queue | Your repository merges through a GitHub merge queue. | Merge queue setup |
If you are unsure, use PR checks first. It is useful CI feedback, but its workflow lives in the project being checked and can be changed by a pull request. Choose trusted verification when the check itself must be protected from that change.
- Learns project-specific structure, dependencies, boundaries, and existing findings.
- Checks approved architecture rules and contracts without imposing a universal architecture.
- Shows change impact and prepares bounded, redacted context for AI review.
- Runs configured project checks and adapters when enabled; it does not replace them.
- Produces deterministic CLI, JSON, and SARIF results for local use and CI.
Guard is local-first and does not call an LLM. The AI host owns model access, edits, and its repair loop. Guard complements TypeScript, ESLint or Biome, tests, SAST, and dependency scanners; it does not replace them.
- GitHub setup presets — choose and configure the CI level you need.
- Complete Guard guide — commands, policy, results, security, and advanced workflows.
- AI-agent integration — managed instructions and MCP workflow.
- Host integrations — Codex, Cursor, Claude Code, Copilot, Gemini CLI, and generic MCP clients.
- Policy mutation controls — approval and protected policy behavior.
- Extensions — adapters, output formats, and integration boundaries.
Maintainer checks and project fixture coverage are documented in the fixture guide and release guide.
Starting a SaaS from scratch? Codapult is a production-ready Next.js SaaS foundation built for AI-assisted development, with modular architecture, built-in AI, MCP context, and source code under your control.
MIT. See LICENSE.