Runtime Confidence Layer for Salesforce CI/CD

75% Code CoverageIs an Illusion.

Static scanners read text. They cannot predict runtime behavior under real data volume. Jataka executes your actual business process in Sandbox, captures Apex debug telemetry, and rejects risky pull requests before Production sees them.

Mapping the Blast Radius

The Context Engine

Jataka connects to your Salesforce Org via OAuth and ingests metadata, Flow dependencies, and Apex Triggers through the Tooling API into a Neo4j graph. Your team gets a live map of how a decade of architecture is actually wired.

Cursor MCP Integration

Shift-Left Guardrails

We stream architecture context directly into AI copilots using MCP. Before code is written, the copilot is warned about dangerous patterns (like DML in CPQ-sensitive paths), making enterprise AI coding safer by default.

CI/CD PR Blocker

The Production Firewall

On every pull request, Jataka launches an isolated Kamikaze pod, executes the workflow in Sandbox, profiles Apex Debug Logs, and blocks merges when usage breaches 90% of SOQL, CPU, or Flow limits.

Why Jataka Wins

We Test Runtime, Not Just Syntax.

  • Runtime simulation instead of syntax-only analysis.
  • Backend validation: UI action + DB verification + async limit monitoring.
  • Built-in outbound ERP mocking for safe integration tests.
  • Autonomous self-healing when layouts/UI change in Salesforce.