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ShedBox Agent for Developers

Build data pipelines faster with natural language prototyping.

The Developer Use Case​

Developers often need to:

  • Quickly prototype data integrations
  • Debug data pipeline issues
  • Build one-off data exports
  • Test API responses

ShedBox Agent accelerates data work with instant YAML generation.

How Developers Use ShedBox Agent​

Rapid Prototyping​

You: "Create a pipeline that pulls from the GitHub API,
filters for merged PRs, and outputs contributor stats"

ShedBox Agent:
✓ Generates complete YAML config
✓ Handles pagination
✓ Includes authentication
✓ Ready to run or customize

Generated Pipeline​

data_sources:
  github_prs:
    type: rest_api
    url: https://api.github.com/repos/${REPO}/pulls
    auth:
      type: bearer
      token_env: GITHUB_TOKEN
    params:
      state: closed
      per_page: 100
    pagination:
      type: link_header
      max_pages: 10

processing:
  filter:
    field: merged_at
    condition: "!= null"
  aggregate:
    group_by: user.login
    metrics:
      - prs_merged: count
      - additions: sum(additions)
      - deletions: sum(deletions)

output:
  type: file
  path: contributor_stats.json

Key Benefits for Developers​

1. Skip the Boilerplate​

Don't write the same API integration code repeatedly:

"Create a Stripe webhook handler that saves events to PostgreSQL"

Generates:

  • API connection config
  • Event processing rules
  • Database output settings

2. Debug Data Issues​

Quickly investigate data problems:

"Connect to the production API and show me the last 10 failed transactions"
"Compare the schema between staging and production databases"
"Find records where created_at is after updated_at"

3. Generate Reference Implementations​

Get working examples for your team:

"Show me how to set up OAuth2 authentication for Salesforce"
"Create a template for cursor-based pagination"

4. Test and Validate​

Quick validation without writing test scripts:

"Verify all required fields are present in the API response"
"Check if the data types match our schema"

Developer Workflows​

API Integration​

You: "I need to integrate with the Twilio API to pull SMS logs"

ShedBox Agent generates:
- Authentication setup
- Pagination handling
- Error handling patterns
- Complete YAML config

Data Migration​

"Create a pipeline to migrate data from MySQL to PostgreSQL
with field mapping and type conversion"

One-Off Exports​

"Pull all users created in the last 30 days and export to CSV"

Pipeline Debugging​

"This pipeline is returning empty results. Help me debug:
[paste YAML config]"

Integration with Dev Workflow​

Version Control​

# Generated configs are Git-friendly
git add pipelines/contributor_stats.yaml
git commit -m "Add contributor stats pipeline"

CI/CD Integration​

# Run pipelines in your CI/CD
- name: Generate report
  run: shedboxai run contributor_stats.yaml

Customization​

Generated YAML is a starting point—customize as needed:

# Add your custom processing
processing:
  # ShedBox Agent generated:
  filter:
    field: merged_at
    condition: "!= null"

  # Your additions:
  transform:
    - operation: add_field
      name: report_date
      value: "${TODAY}"

Example: Quick API Exploration​

You: "Connect to the Notion API and show me the structure of my databases"

ShedBox Agent:
✓ Connects with your API key
✓ Lists all databases
✓ Shows schema for each

Found 3 databases:
1. Tasks (id: abc123)
   - Title (title)
   - Status (select: Todo, In Progress, Done)
   - Due Date (date)
   - Assignee (people)

2. Projects (id: def456)
   - Name (title)
   - Description (rich_text)
   - Status (select)
   - Tasks (relation → Tasks)

Would you like me to generate a pipeline for any of these?

Get Started​

Accelerate your data pipeline development.

Try ShedBox Agent →