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DataFlint IDE Extension - AI Copilot

SaaS

Production-aware suggestions in your editor based on compressed real Spark runs, powered by AI. Highlight performance issues and get one-click fixes with expected impact.

Highlight

See exactly which lines cause skew, spill, or performance issues in your production runs, analyzed from compressed log context.

Fix

Get code suggestions and one-click fixes based on your actual production performance data.

Monitor

Bridge development and production - track job health, perform RCA (root cause analysis), and get warnings before code changes cause performance issues.

Highlight and Fix your code from your IDE

Bridge the gap between code and production reality - see exactly what each action and transformation did to your production data, with real context from your runs.

Original code showing Spark DataFrame write operation

What you get (SaaS features)

SaaS
Production-aware suggestions in VS Code/Cursor/IntelliJ based on compressed production logs
Highlights lines that cause skew, spill, retries, bad joins with compressed production context.
One-click code fixes with expected impact (e.g., '-32% runtime, -$41/run')
Deep links back to the SaaS dashboard with production run, plan, and stage timeline
Real-time warnings when code changes risk performance issues

Close the loop with production context

Close the production-to-development feedback loop - turn cluster insights into IDE fixes without leaving your editor.

SaaS
DataFlint MCP links your production context to the SaaS dashboard and IDE.
Real-time sync between SaaS insights and IDE suggestions for seamless workflow.
Dashboard analytics surface as actionable IDE recommendations with production context.
Complete visibility: production monitoring feeds IDE fixes that improve future runs.
Production LogsSaaS DashboardIDE Extension

IDE Extension in Action

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Ready to get AI-powered Spark fixes directly in your IDE?

Experience production-aware code suggestions powered by compressed log analysis that understand your real Spark workloads. See how our IDE extension can highlight performance issues and provide one-click fixes with expected impact.