Add autonomous monitoring and optimization infrastructure

[Copilot]

Implements comprehensive automation for continuous issue detection, performance monitoring, and code quality optimization.

Workflows Added

Security & Quality

• automated-issue-detection.yml - Pylint, ESLint, Trivy scanning (daily + on push/PR)
• Enhanced codeql.yml with security-extended and security-and-quality queries

Performance

• performance-monitoring.yml - Python profiling (py-spy, memory-profiler) + frontend bundle analysis (daily)
• bottleneck-detection.yml - Radon complexity metrics, auto-creates issues for high complexity (weekly)

Automation

• auto-optimization.yml - Auto-fixes (autoflake, autopep8, isort, black, prettier) with optional PR generation (weekly)
• monitoring-agent.yml - Repository health, test coverage, quality trends (daily)
• automation-dashboard.yml - Monthly summary reports

Key Capabilities

• Multi-tool issue detection: CodeQL, Pylint, ESLint, Trivy, dependency review
• Performance profiling: Sampling profiler, memory analysis, complexity metrics
• Automated fixes: Code formatting, unused import removal, PEP8 compliance with PR creation
• Trend monitoring: Coverage analysis, commit patterns, maintainability tracking

All workflows integrate with existing CI/CD (Python checks, frontend CI, pre-commit hooks). Reports uploaded as artifacts, security findings to SARIF.

Documentation

• AUTOMATION.md - Usage guide and configuration reference
• IMPLEMENTATION_SUMMARY.md - Technical details and validation results
• scripts/validate-automation.sh - Setup verification script

Original prompt

The repository Snapp949/AutoGPT needs to be configured to enable autonomous issue detection, performance optimization, and acceleration.

Objective:

• Configure the repository to identify coding issues, performance bottlenecks, and opportunities for optimization.
• Implement automated tools and workflows to fix detected issues and optimize performance.
• Integrate intelligent agents capable of continuously monitoring and enhancing the repository's performance.

Proposed Configuration:

1. Set up Issue Detection:

   • Integrate static code analysis tools (e.g., ESLint, PyLint, CodeQL) to continuously scan for bugs and coding issues.

2. Enable Performance Profiling:

   • Set up workflows to monitor application performance and resource utilization automatically.

3. Automate Fixes:

   • Use AI-powered tools to analyze and suggest fixes for detected issues.
   • Automatically open pull requests for suggested optimizations or fixes.

4. Create Search Agents for Bottlenecks:

   • Deploy agents that proactively monitor and test the repository for weak code areas impacting speed or efficiency.

5. CI/CD Pipeline Optimization:

   • Ensure integration of all tools and agents into the repository’s CI/CD pipelines for real-time observation and improvement.

Please configure the repository to include these capabilities and ensure the workflow runs successfully.

This pull request was created from Copilot chat.

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