What AI coding assistants does DeepSweep support?

DeepSweep supports all major AI coding assistants including Cursor, GitHub Copilot, Microsoft Copilot, Claude Code, Windsurf, Cody, Tabnine, Amazon CodeWhisperer, and any tool that generates code.

Does DeepSweep work with cloud platforms?

Yes, DeepSweep integrates with AWS, Azure, Google Cloud Platform, Vercel, Netlify, and other cloud providers. It can run in any CI/CD pipeline including GitHub Actions, GitLab CI, CircleCI, and Jenkins.

Is my code sent to external servers?

No, DeepSweep runs locally by default. Your code never leaves your machine. For team features, only metadata (not source code) is transmitted over encrypted connections.

Back to Documentation

Configuration

Configure DeepSweep for your workflow

Secure Configuration Templates

Generate hardened AI assistant configuration templates for your project:

deepsweep init

# Language-specific templates, optionally with MCP config
deepsweep init --type python --include-mcp

Validation Options

Tune validation output and strictness with command-line flags:

# Machine-readable output (text, json, or sarif)
deepsweep validate . --format sarif --output report.sarif

# Exit non-zero when findings reach a severity threshold
deepsweep validate . --fail-on critical

# Include MCP configuration checking
deepsweep validate . --include-mcp

Telemetry

DeepSweep collects anonymous usage data to improve detection patterns. No source code, file paths, or personal information is ever collected. Opt out anytime:

# Disable optional analytics
deepsweep telemetry disable

# Check what is enabled
deepsweep telemetry status

# Fully offline mode (air-gapped environments)
export DEEPSWEEP_OFFLINE=1

Configuration

Secure Configuration Templates

Validation Options

Telemetry

Related Documentation