Advanced

Custom Workflows

Automate your unique development processes with powerful workflow automation

Workflow Automation

Autonoma's workflow engine allows you to create custom automation that fits your team's unique processes. Define triggers, conditions, and actions to automate repetitive tasks and enforce best practices.

Git Integration

Trigger workflows on commits, PRs, and merges

Event-Driven

React to predictions, fixes, and system events

Customizable

Define complex logic with conditions and branches

Common Workflow Patterns

Automated PR Review

Automatically analyze pull requests for potential issues before human review:

# .autonoma/workflows/pr-review.yaml
name: Automated PR Review
description: Comprehensive PR analysis and feedback

triggers:
  - event: pull_request.opened
  - event: pull_request.synchronize

conditions:
  - type: file_changed
    patterns: ['*.js', '*.ts', '*.py', '*.go']

actions:
  - name: security_scan
    type: security_analysis
    config:
      severity: medium
      block_on_critical: true
      
  - name: performance_check
    type: performance_analysis
    config:
      baseline: main
      threshold: 
        regression: 10%  # Block if &gt;10% slower
        
  - name: code_quality
    type: quality_check
    config:
      complexity_threshold: 15
      coverage_requirement: 80%
      
  - name: prediction_analysis
    type: predict_issues
    config:
      horizon: 7d
      confidence_threshold: 0.8
      
  - name: post_comment
    type: github_comment
    config:
      template: pr_review_summary
      include:
        - security_findings
        - performance_impact
        - predicted_issues
        - suggested_fixes

Result: Every PR gets comprehensive automated review in under 30 seconds, catching issues before they reach human reviewers.

Safe Deployment Pipeline

Ensure every deployment is safe with predictive analysis:

# .autonoma/workflows/safe-deploy.yaml
name: Predictive Deployment Safety
description: Prevent deployment issues before they happen

triggers:
  - event: deployment.requested
    environment: production

actions:
  - name: predict_deployment_issues
    type: deployment_prediction
    config:
      analyze:
        - code_changes
        - dependency_updates
        - config_changes
        - database_migrations
      
  - name: check_predictions
    type: conditional
    conditions:
      - prediction.severity >= 'high'
      - prediction.confidence >= 0.85
    on_match:
      - type: block_deployment
        message: "High-risk issues predicted"
      - type: notify
        channels: ['slack:#deployments', 'pagerduty']
        
  - name: gradual_rollout
    type: deployment_strategy
    config:
      strategy: canary
      stages:
        - traffic: 1%
          duration: 5m
          health_checks: aggressive
        - traffic: 10%
          duration: 15m
          health_checks: standard
        - traffic: 50%
          duration: 30m
          health_checks: standard
        - traffic: 100%
          
  - name: monitor_deployment
    type: continuous_monitoring
    config:
      duration: 2h
      metrics:
        - error_rate
        - response_time
        - memory_usage
      auto_rollback:
        error_rate: "Greater than 1%"
        response_time: "Greater than 200ms p95"

Automated Incident Response

Respond to production issues automatically:

# .autonoma/workflows/incident-response.yaml
name: Automated Incident Response
description: Rapid response to production issues

triggers:
  - event: alert.triggered
    sources: ['datadog', 'prometheus', 'autonoma']
  - event: prediction.critical
    confidence: "Greater than 0.9"

actions:
  - name: analyze_issue
    type: root_cause_analysis
    config:
      depth: comprehensive
      include_predictions: true
      
  - name: attempt_auto_fix
    type: conditional
    conditions:
      - auto_fix.available == true
      - auto_fix.confidence >= 0.95
    on_match:
      - type: apply_fix
        mode: immediate
        rollback_enabled: true
    on_no_match:
      - type: create_incident
        severity: "{{ alert.severity }}"
        
  - name: gather_context
    type: parallel
    actions:
      - type: capture_logs
        duration: -30m
      - type: capture_metrics
        duration: -1h
      - type: capture_traces
        sample_rate: 100%
      - type: identify_changes
        since: -24h
        
  - name: notify_team
    type: notification
    config:
      channels:
        - slack:#incidents
        - pagerduty:on-call
      template: incident_summary
      include:
        - root_cause_analysis
        - suggested_fixes
        - rollback_options
        - similar_incidents

Workflow Building Blocks

→ Triggers

Events that start workflow execution:

Git events (push, PR, merge)
Autonoma predictions
System alerts
Scheduled (cron)
API calls
Manual trigger

? Conditions

Logic to control workflow execution:

File pattern matching
Branch filters
User/team filters
Metric thresholds
Time-based rules
Complex expressions

⚡ Actions

Operations that workflows can perform:

Run analysis (security, performance)
Apply fixes
Create tickets/issues
Send notifications
Execute scripts
Call webhooks/APIs

↗ Flow Control

Advanced workflow orchestration:

Sequential execution
Parallel actions
Conditional branching
Loops and iterations
Error handling
Retry logic

Team-Specific Workflows

🎨

Frontend Team Workflow

Automated Checks

• Bundle size analysis
• Performance budgets
• Accessibility scanning
• Visual regression testing

Auto-Fixes

• Image optimization
• Code splitting suggestions
• Memory leak prevention
• SEO improvements

⚙️

Backend Team Workflow

Automated Checks

• API performance testing
• Database query analysis
• Security vulnerability scan
• Resource usage prediction

Auto-Fixes

• Query optimization
• Connection pool tuning
• Cache configuration
• API rate limiting

🚀

DevOps Team Workflow

Automated Checks

• Infrastructure drift detection
• Cost optimization analysis
• Security compliance scan
• Disaster recovery testing

Auto-Fixes

• Auto-scaling adjustments
• Resource optimization
• Security patches
• Config standardization

Creating Your First Workflow

Create workflow file

Add a YAML file to your repository:

.autonoma/workflows/my-workflow.yaml

Define your workflow

name: My First Workflow
description: Example workflow

triggers:
  - event: pull_request.opened

actions:
  - name: analyze
    type: code_analysis
    
  - name: notify
    type: slack_message
    config:
      channel: "#dev-team"
      message: "PR analyzed: {{ results.summary }}"

Test and deploy

Test your workflow locally:

autonoma workflow test my-workflow.yaml --dry-run

Push to your repository to activate.

Workflow Best Practices

Start Simple

•Begin with basic workflows
•Test thoroughly before deploying
•Gradually add complexity

Safety First

•Always include error handling
•Set appropriate timeouts
•Use dry-run mode for testing

Monitor & Iterate

•Track workflow performance
•Review execution logs
•Optimize based on results

Version Control

•Store workflows in Git
•Use PR reviews for changes
•Document workflow purpose

Workflow Library

Access pre-built workflow templates for common scenarios:

Security Workflows

• Dependency vulnerability scanning
• Secret detection
• OWASP compliance checks

Performance Workflows

• Load testing automation
• Performance regression detection
• Resource optimization

Quality Workflows

• Code quality enforcement
• Test coverage validation
• Documentation checks

Deployment Workflows

• Progressive rollouts
• Rollback automation
• Post-deployment validation

Browse Workflow Library

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