5 Minutes. 4000+ API Test Cases. Zero Human Involvement

In our latest initiative, we leveraged ratl.ai’s agentic testing framework to autonomously test our Tira Application SDK APIs (a core service within the JCP ecosystem).

The results were nothing short of transformative:

What we achieved in under 5 minutes:

• 300+ APIs parsed directly from OpenAPI spec
• 4000+ test cases auto-generated and executed
• No Postman collection required
• No manual test creation or scripting
• No human-in-the-loop
• No chatbot queries or prompt engineering
• Intelligent skipping of 2998 test cases based on impact analysis
• AI-generated summary with pass/fail stats and insights
• 88% success rate across positive & negative flows

All this in a single autonomous run, triggered via CI (Unified-CD-Tira) in the SIT environment.

That’s the game-changer.

ratl.ai agents don’t blindly execute the full test suite on every run. Instead, they:

• Analyze recent code changes
• Parse OpenAPI spec diffs
• Review historical runs
• Detect impacted endpoints and schema fields
• Filter test scope dynamically

As a result, we get laser-sharp regression testing, focusing only on what matters.

And yes — you can opt-in for full coverage with a simple flag. But when you’re scaling fast, relevance > redundancy.

Unlike traditional workflows that rely on hand-crafted Postman collections or static test cases, ratl.ai:

• Parses the live OpenAPI spec
• Automatically adjusts test cases when new paths, parameters, or auth schemes change
• Eliminates maintenance burden
• Keeps test coverage in lockstep with evolving APIs

This makes continuous testing truly continuous, without developer or tester intervention.

The Jio Commerce Platform is massive — supporting:

• B2C commerce for Tira, JioMart, Ajio, Netmeds etc..
• B2B ordering and supply chain systems
• Mobile, web, and WhatsApp-based commerce
• Complex flows like catalog, cart, pricing, inventory, and fulfillment

A single API regression can impact millions of transactions.

With ratl.ai, our API cert cycles are now:

• Faster (minutes, not days)
• Smarter (change-aware testing)
• Cheaper (no need for large QE teams to maintain tests)
• More reliable (higher pass rates, lower false positives)
  

We’re seeing a massive reduction in escape defects — and even better, engineering teams aren’t blocked waiting for test readiness.

This success wasn’t a one-off. We’ve now integrated ratl.ai into our broader testing pipeline:

• Functional testing
• Auth validation
• Negative scenarios
• Pagination and parameter validation
• Auto-healing of test cases
• Dashboarding and agent-driven insights

And this is just phase one.

We’re actively expanding its usage across all key microservices in the JCP ecosystem — including checkout, payments, inventory sync, and fulfillment APIs.

If you’re tired of:

• Maintaining bloated test suites
• Dealing with flaky Postman collections
• Struggling to scale your regression cycles

Then it’s time to switch to agentic test intelligence.
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Let the agents do the testing, while your team builds what matters.

In a world where software delivery cycles are shrinking and systems are growing ever more complex, ratl.ai offers a glimpse into the future of quality engineering — autonomous, intelligent, and radically efficient. What once took days of manual effort, coordination, and tooling can now be accomplished in minutes with zero human intervention. For the Jio Commerce Platform, this shift isn’t just about faster testing — it’s about enabling engineering teams to move with confidence, knowing every API push is validated by AI agents built to think like testers, not just act like scripts. This isn’t automation. This is autonomy. And it’s only the beginning.