Karate Agent is an AI-native test runtime. Whatever the job below, the output is the same: ordinary, deterministic Karate tests your CI runs without the agent.
Every job is one POST /api/jobs away, over REST or MCP, from your terminal, your pipeline, or your own AI assistant.
Point the agent at an OpenAPI spec. It stands up a stateful mock, explores the API, and emits a reviewable Karate suite with coverage measured against the contract. A spec becomes governed tests in an afternoon.
API testing →Turn the test cases a manual team executes into deterministic browser checks that run overnight. Every run leaves screenshots, video, and rule verdicts, and testers move up the stack to review evidence instead of clicking through screens.
AI regression testing →Point the agent at the suite you already own. When a schema or the DOM shifts, it re-drives the drifted check and proposes the repair for a human to approve. The recurring cost of automation is maintenance; this is where the hours go.
How healing is governed →Guidewire-class platforms are heavily customized and updated on the vendor’s schedule, which is where selector-based tests snap. Display-text locators survive the churn, and captured traffic gives API-level evidence even where customization blocks standard API testing.
Packaged app testing →The agent drafts the rate book as an executable rulebook from your documents; you review a decision table, not code. The engine grades it with no judge in the loop, and the live system is checked against it row by row. A wrong premium is a defect, tied to the rule.
Business rules testing →Boundary, pairwise, and covering-array decks generated from the rulebook, every row carrying the computed expected result and the requirement it proves. Export as JSON or CSV and run it from Playwright, Postman, or any framework.
Test data generation →AI-generated suites reach high coverage and can still assert almost nothing. Mutation testing seeds defects into provider behavior and replays the suite: survivors name the bugs no test would notice, and echo assertions score zero.
API mutation testing →Run the same functional suite against your mock and your real provider in one session, and get back a measured divergence set, including the finding no schema check can make: both legs green and the responses still differ.
Contract testing →Drive the whole runtime from Claude Code, VS Code Copilot, or Cursor over MCP, or wire it into your internal agent platform as the test-engineering engine. Agents generate locally; standard Karate runs deterministically in your CI.
MCP & API docs →Every job ends the same way: ordinary Karate tests in your git, deterministic runs in your CI, and evidence a reviewer can open.