Integrating AI Agents into CI/CD Pipelines

name: AI Agent CI
on:
  push:
    branches: [ main ]
jobs:
  run-agent:
    runs-on: ubuntu-latest
    steps:
      - name: Checkout code
        uses: actions/checkout@v4
      - name: Setup Node.js
        uses: actions/setup-node@v4
        with:
          node-version: '20'
      - name: Run AI agent
        run: |
          npm install ai-agent
          npx ai-agent --config ./agent-config.json
        env:
          AI_AGENT_API_KEY: ${{ secrets.AI_AGENT_API_KEY }}

name: AI Code Review
on:
  pull_request:
    branches: [ main ]
jobs:
  review:
    runs-on: ubuntu-latest
    steps:
      - name: Checkout code
        uses: actions/checkout@v3
      - name: Run AI review
        uses: ai-code-reviewer/action@v1
        with:
          token: ${{ secrets.GITHUB_TOKEN }}

const aiTest = {
  name: "User login with valid credentials",
  steps: [
    "Navigate to login page",
    "Enter valid username and password",
    "Click login button"
  ],
  expected: "User redirected to dashboard"
};

name: AI Agent Code Review
on:
  pull_request:
    branches: [ main ]
jobs:
  ai-review:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
      - name: Run AI Agent
        id: ai
        uses: ai-agent/action@v1
        with:
          config-file: .ai-review.yaml
      - name: Gate Merge if AI Fails
        if: steps.ai.outputs.status == 'fail'
        run: |
          echo "AI agent flagged issues"
          exit 1

name: AI Agent CI
on: [push]
jobs:
  build:
    runs-on: ubuntu-latest
    steps:
      - name: Checkout code
        uses: actions/checkout@v3
      - name: Set up Node.js
        uses: actions/setup-node@v3
        with:
          node-version: '18'
      - name: Install dependencies
        run: npm install
      - name: Run AI agent tests
        run: npm run test:ai
        env:
          AI_AGENT_API_KEY: ${{ secrets.AI_AGENT_API_KEY }}

# .github/workflows/ai-agent-monitoring.yml
name: AI Agent Pipeline Monitoring
on:
  workflow_run:
    workflows: ["CI Pipeline"]
jobs:
  monitor-agent-usage:
    runs-on: ubuntu-latest
    steps:
      - name: Collect AI Agent Metrics
        run: |
          echo "AI agent invocations: $(grep -c 'ai-agent' logs.txt)"
          echo "Avg response time: $(awk '/ai-agent/ {sum += $NF} END {print sum/NR}' logs.txt)"

const fs = require("fs");
const path = require("path");

// Cache directory
const cacheDir = ".ai-agent-cache";

// Save agent state to disk
function saveAgentState(state, runId) {
  const cachePath = path.join(cacheDir, `state-${runId}.json`);
  fs.writeFileSync(cachePath, JSON.stringify(state));
}

// Load agent state from disk
function loadAgentState(runId) {
  const cachePath = path.join(cacheDir, `state-${runId}.json`);
  if (fs.existsSync(cachePath)) {
    return JSON.parse(fs.readFileSync(cachePath, "utf8"));
  }
  return null;
}

// Example usage in CI pipeline
const runId = process.env.RUN_ID || "default";
const cachedState = loadAgentState(runId);
if (cachedState) {
  console.log("Resuming from cached state");
  // Resume agent with cachedState
} else {
  console.log("Starting fresh agent");
  // Initialize new agent state
}

#!/bin/bash
echo "Starting rollback of AI agent automation"
git checkout HEAD~1
echo "Reverted to previous stable configuration"
restore-agent-config --from backup-2024-05-15
echo "Agent state restored from backup"
send-notification --message "AI agent rollback completed successfully"