Video: how to find the search attempt at GitHub Copilot

Most teams start with a simple manner of trust management. It usually includes a bash script running from time to time. Here’s what our manual script looks like:

#!/bin/bash
echo "Starting manual dependency audit..."

# List all dependencies
echo "Installed dependencies:"
npm list --depth=0 > deps.txt
cat deps.txt

# Check for outdated ones
echo -e "\nChecking outdated dependencies..."
npm outdated > outdated.txt
cat outdated.txt

# Guess at unused ones (very crude)
echo -e "\nLooking for potentially unused dependencies..."
for dep in $(npm list --depth=0 | grep '├──' | cut -d' ' -f2 | cut -d@ -f1); do
    if ! find . -type f -name "*.js" -o -name "*.tsx" -o -name "*.ts" | xargs grep -l "$dep" > /dev/null 2>&1; then
        echo "$dep might be unused"
    fi
done

echo "Done! Check deps.txt and outdated.txt manually. Phew that was a lot of work!"

This method has many limits, including:

• Manual, so there is a need to remember to run it (and be honest, I will always forget to run on my own cenebases).
• The unused trust check is crude, and often inaccurate.
• Outcomes scattered as many output files.
• It is not integrated with workflows or CI / CD pipelines.

Must have a better way than this right?

Lucky with, in fact, a better solution than the manual bash script if you work in GitHub-and it starts using a AI tool, our Automation and CI / CI / CI / CI / CI / CI / CD TOOWAL. GitHub actions, and dependal, our automatic confidence content.

Here’s a step-step move you can use to make it.

To implement this action GitHub, GitHub Copilot creates new workflow file to .github/workflows/dependency-audit.yml. Here is the workflow file copilot helped make:

name: Dependency Audit
on:
  schedule:
    - cron: '0 0 * * 1'  # Run weekly on Mondays
  workflow_dispatch:  # Allow manual triggering

jobs:
  audit:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4

      - name: Set up Node.js
        uses: actions/setup-node@v4
        with:
          node-version: '18'

      - name: Install dependencies
        run: npm ci

      - name: Install depcheck
        run: npm install -g depcheck

      - name: Run depcheck for unused dependencies
        run: depcheck --json > unused-deps.json

      - name: Run npm audit
        run: npm audit --json > security-audit.json

      - name: Generate report
        run: |
          echo "# Dependency Audit Report $(date)" > report.md
          echo "## Unused Dependencies" >> report.md
          cat unused-deps.json | jq -r '.dependencies()' >> report.md
          echo "## Security Issues" >> report.md
          cat security-audit.json | jq '.metadata.vulnerabilities' >> report.md

      - name: Create issue if problems found
        uses: peter-evans/create-issue-from-file@v4
        if: ${{ success() }}
        with:
          title: Weekly Dependency Audit
          content-filepath: ./report.md
          labels: maintenance, dependencies

With that, our trust in trust is now perfectly automated. Let’s turn how it works:

• Our usual action uses demcheck to accurately identify unused dependencies.
• Dependability creates pull requests for unused packages, complete with Changelogs and risk assessments.
• Security vulnerabilities are found and reported per week.
• Everything is written on GitHub issues for the team’s sight.

This method cannot only save time but also reduces security hazards and performance issues that are from the bad management of dependencies.

By combining AI capabilities in GitHub Copilot with actions of GitHub and Dependable, we have made a tedoon manual task in an automated solution to our cenebase. And I will take the storage times to make something more interesting, like unrelling the mystery of the weird TV shows divisions. Or who knows, maybe I’ll finally figure out what it means to refine macrodata on that show (anyone has any idea yet?