How to Integrate Understand Anything with Your CI/CD Pipeline

Run pnpm exec understand --auto-update as a standard build step in any CI system to generate a versioned knowledge graph artifact.

Understand Anything is a multi-agent, LLM-augmented static analysis plugin from the Egonex-AI/Understand-Anything repository. Because it exposes a pure CLI interface, you can embed it into GitHub Actions, GitLab CI, Jenkins, or any other CI/CD system that executes shell commands. The tool analyzes your codebase using Tree-sitter, enriches the results with LLM-generated summaries, and outputs a JSON knowledge graph to .understand-anything/knowledge-graph.json.

How Understand Anything Works in CI/CD

The integration follows a deterministic pipeline that fits naturally into standard build stages.

First, the understand CLI entry point triggers a series of agents defined in the plugin. The project-scanner agent (documented in understand-anything-plugin/agents/project-scanner.md) detects your repository structure and CI configuration files, while the file-analyzer agent (in understand-anything-plugin/agents/file-analyzer.md) parses individual files using Tree-sitter to extract imports, functions, and classes.

Next, an LLM layer adds human-readable summaries, architectural tags, and business-domain annotations. The final output is a pure JSON knowledge graph written to .understand-anything/knowledge-graph.json. Because this file is machine-readable and text-based, you can version-control it, upload it as a pipeline artifact, or feed it into downstream automation jobs.

GitHub Actions Integration

Add a dedicated workflow file to run the analysis after your build steps complete. The repository already includes a reference implementation in .github/workflows/ci.yml that builds the core and skill packages before running tests.

Here is a minimal workflow that builds the plugin and archives the knowledge graph:

# .github/workflows/understand.yml

name: Understand Anything
on:
  push:
    branches: [main, develop]

jobs:
  graph:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: pnpm/action-setup@v4
        with:
          version: 9
      - uses: actions/setup-node@v4
        with:
          node-version: 22
          cache: pnpm
      
      - name: Install dependencies
        run: pnpm install
      
      - name: Build core
        run: pnpm --filter @understand-anything/core build
      
      - name: Build skill
        run: pnpm --filter @understand-anything/skill build
      
      - name: Generate knowledge graph
        run: pnpm exec understand --auto-update
      
      - name: Archive graph
        run: tar -czf graph.tgz .understand-anything/knowledge-graph.json
      
      - uses: actions/upload-artifact@v4
        with:
          name: knowledge-graph
          path: graph.tgz

The --auto-update flag ensures the command is idempotent; it only re-analyzes files that changed since the last run, keeping additional CI time to a minimum.

GitLab CI Integration

For GitLab pipelines, define stages for installation, building, and analysis. The JSON output can be declared as an artifact for subsequent jobs or downloads.

# .gitlab-ci.yml

stages:
  - install
  - build
  - analyze

install:
  image: node:22
  script:
    - npm i -g pnpm
    - pnpm install

build:
  image: node:22
  script:
    - pnpm --filter @understand-anything/core build
    - pnpm --filter @understand-anything/skill build

analyze:
  image: node:22
  script:
    - pnpm exec understand --auto-update
  artifacts:
    paths:
      - .understand-anything/knowledge-graph.json
    expire_in: 1 week

Jenkins Pipeline Integration

In a declarative Jenkins pipeline, add the analysis stage after building the plugin packages. Use the archiveArtifacts step to store the graph.

pipeline {
    agent any
    stages {
        stage('Setup') {
            steps {
                sh 'npm i -g pnpm'
                sh 'pnpm install'
            }
        }
        stage('Build Plugin') {
            steps {
                sh 'pnpm --filter @understand-anything/core build'
                sh 'pnpm --filter @understand-anything/skill build'
            }
        }
        stage('Generate Graph') {
            steps {
                sh 'pnpm exec understand --auto-update'
                archiveArtifacts artifacts: '.understand-anything/knowledge-graph.json', fingerprint: true
            }
        }
    }
}

Key Integration Points

When adding Understand Anything to existing pipelines, focus on these five stages:

• Setup. Run pnpm install to pull in @understand-anything/core and @understand-anything/skill packages. This is identical to standard Node dependency installation.

• Build. Compile the plugin runtime before executing analysis. Run pnpm --filter @understand-anything/core build and pnpm --filter @understand-anything/skill build to ensure the agents are ready.

• Analysis. Execute pnpm exec understand --auto-update to generate the knowledge graph. This command runs entirely offline after the initial setup.

• Artifact Publishing. Compress .understand-anything/knowledge-graph.json and upload it using your CI's artifact storage (e.g., actions/upload-artifact@v4 for GitHub Actions or archiveArtifacts for Jenkins).

• Optional Commit. If you want the graph version-controlled, add a step to commit the JSON file: git add .understand-anything/knowledge-graph.json && git commit -m "Update knowledge graph". This is useful for onboarding documentation that stays in sync with the repository.

For local development parity, you can also install a post-commit hook. The repository provides a template in understand-anything-plugin/hooks/auto-update-prompt.md that runs understand --auto-update after every local commit.

Summary

• Understand Anything runs as a CLI tool (pnpm exec understand) that fits into any CI system supporting Node.js.
• The pipeline uses Tree-sitter for deterministic parsing and LLMs for semantic enrichment, outputting to .understand-anything/knowledge-graph.json.
• Build the @understand-anything/core and @understand-anything/skill packages before running analysis.
• Use the --auto-update flag for incremental analysis that only processes changed files.
• Archive the JSON output as a pipeline artifact or commit it directly to version control for team access.

Frequently Asked Questions

What is the performance impact on CI build times?

The impact is minimal. The --auto-update flag enables incremental analysis, meaning the tool only re-parses files that changed since the last run. For medium-sized projects, this typically adds only a few seconds to the pipeline. The Tree-sitter parsing layer is deterministic and fast, while LLM enrichment happens selectively based on code changes.

Can I use Understand Anything with CI systems other than GitHub Actions?

Yes. Because the tool is a standard CLI application distributed via PNPM, it works with any CI/CD platform that can execute shell commands, including GitLab CI, Jenkins, CircleCI, Azure DevOps, and Bitbucket Pipelines. The examples in the repository (found in .github/workflows/ci.yml and understand-anything-plugin/agents/project-scanner.md) demonstrate detection of various CI config files including .gitlab-ci.yml and Jenkinsfile.

Where is the knowledge graph stored and how can teams access it?

By default, the graph is written to .understand-anything/knowledge-graph.json in your repository. You can configure your CI pipeline to upload this file as a build artifact, store it in an internal artifact repository, or commit it back to the repository. The JSON format is self-contained and portable, making it easy to share with dashboards, documentation generators, or other downstream tools.

How do I ensure the analysis results are reproducible across different CI runs?

The analysis is deterministic because the Tree-sitter parsing layer extracts static code structure identically on every run. To guarantee reproducibility, pin the @understand-anything/core and @understand-anything/skill package versions in your package.json or lockfile. The test suite in understand-anything-plugin/packages/core/src/__tests__/parsers.test.ts validates that CI-related parsers produce consistent output across environments.

{
  "mcpServers": {
    "instagit": {
      "command": "npx",
      "args": ["-y", "instagit@latest"]
    }
  }
}