qAPI

What happens when.. AI application fails? Often, it’s not the model alone. or it can be the model too. It could be a broken API, inaccurate retrieval from your knowledge base, or inconsistent LLM responses that impact customer trust. That’s why we’ve brought API Testing, RAG Evaluation, and LLM Testing together in a single platform, helping testers, developers, and business leaders ensure quality across every layer of an AI-powered application. Consider a banking chatbot that helps customers with loan eligibility, credit card details, and account-related queries: ✅ API Testing validates that backend services return accurate customer and product data. ✅ RAG Evaluation ensures responses are grounded in the latest banking policies, FAQs, and knowledge documents. ✅ LLM Testing verifies response accuracy, consistency, safety, and compliance before deployment. Instead of juggling multiple tools and disconnected reports, teams get a unified view of application reliability and AI performance. The result? Faster testing cycles, fewer production surprises, and greater confidence in every release. Because in 2026, AI it's no longer enough to test the application, you need to test the intelligence powering it. qAPI is your intelligence validation partner: qapi.qyrus.com #AITesting #LLMTesting #RAG #APITesting #QualityEngineering #GenAI #SoftwareTesting #qapi #dev #life #monday #devlife #tester #promote

Do you know which API tests actually matter? Most teams don't struggle with writing API tests. They struggle with deciding where to invest their limited time and attention. When testing is spread across multiple tools and workflows, teams naturally gravitate toward what's easiest to automate and maintain: functional validation and regression coverage. As release cycles accelerate, other test types often move down the priority list. We've seen teams with thousands of passing API tests encounter production issues because performance and resilience testing happened too late. We've also seen organizations invest heavily in end-to-end coverage, only to face integration failures because API contracts between services were never validated consistently. The challenge isn't a lack of testing. It's that testing efforts are often concentrated in one area while risks emerge elsewhere. The most effective teams aren't necessarily the ones running the most API tests. They're the ones that align their testing strategy with their biggest business and technical risks, whether that's reliability, scalability, security, or service compatibility. The real question isn't "Do we have API tests?" It's "Are we running the API tests that matter most?" #APITesting #SoftwareQuality #QualityEngineering #DevOps #APIQuality #TestingStrategy read the full story: linkedin.com/feed/update/ur…

The hardest part of building with LLMs isn't generating answers, it's proving those answers are reliable. Unlike traditional software, where the same input produces the same output, LLMs operate in probabilities. The same prompt can generate different responses, edge cases can expose hidden failures, and a model that performs perfectly in a demo can break in production when faced with real user behavior. That's why evaluation isn't optional. Before deploying, you need to test for accuracy, consistency, hallucinations, prompt sensitivity, safety, latency, and performance across thousands of realistic scenarios. Without systematic testing, you're not shipping an AI product, you're shipping a guess. In the world of LLMs, the question isn't "Does it work?" but "How often does it fail, and under what conditions?" Evaluate your LLMs on qAPI: qapi.qyrus.com #llm #evaluate #AI #agents #agentic #scale #growth #impact #testing #building #tool #new #product #feature #qapi

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Let's simplify the debate. No matter how many opinions, discussions, or hot takes exist around the topic, most people fall into one of two groups: those who gain understanding by doing, and those who learn by studying what has already been done. Both approaches bring value. But problems arise when businesses swing too far in either direction, making things unnecessarily complicated or reducing them to oversimplified assumptions. The reality is that many companies are still trying to find the right balance. Others have chosen to partner with specialists who can help navigate the complexity and focus on delivering results. Understanding is one thing. Execution is what makes the difference. 👉 Swipe through the carousel to read more. #simplify #testing #devs #tester #build #scale #growth #innovate #qapi #contract #performance #functionality #qAPI

Your API workflow has more steps than it needs. Half of them exist because your testing tool wasn't built to handle the other half. 5 ways qAPI simplifies what your current setup makes unnecessarily hard. Save this for your next sprint planning. 👇 . . . . . #swipe #learn #share #workflows #api #testing #qapi #build #create #test #deploy #fast

Money. Revenue. Attrition. Every metric. Every meeting. Every conversation comes down to one thing: Revenue impact. Yet ARR targets keep slipping, costs keep rising, and the numbers aren't moving in the direction you want. Why? -Delayed API testing -Human errors -Security vulnerabilities -Production bugs -Third-party dependency failures -And countless preventable issues For many tech companies, these problems can result in losses of atleast $15,000 or more before they're even detected. So what's the solution? Increase the budget? Or improve the approach? The answer is simple: change your approach. Your APIs power your products, customer experiences, and revenue streams. It's time to treat them accordingly. ✅ Test earlier ✅ Detect issues faster ✅ Improve API reliability ✅ Reduce costly downtime With qAPI, you can build, test, and monitor APIs easily. qapi.qyrus.com/api-testing/ Sign up now and stop letting preventable API issues drain your revenue. 🚀

Messi's offside before he provided the assist to Enzo Fernandez aside is still in the grey. But the controversy aside the match was a one time epic event!!! #messi #FootballWorldCup

@CrewsMat10 Lets GooOO!!!

Building AI is getting easier day by day, but testing them? Most teams use one tool for API testing, another for LLM evaluations, and a collection of spreadsheets, prompts, and scripts to validate RAG performance. The result? ❌ Disconnected workflows ❌ Slow release cycles ❌ Missed regressions ❌ Hours spent proving whether a change actually improved quality That's why we built a single platform for: ✅ API Testing ✅ LLM Evaluation ✅ RAG Testing Monitor reliability, catch failures before production, compare model changes with confidence, and build AI products your users can trust. Stop guessing. Start measuring. And double down on your strategy with qAPI 🚀 See how your AI system performs with simplified testing experience on qAPI: qapi.qyrus.com #llm #evaluation #rag #testing #agentic #ai #build #test #scale #growth #tool #qapi #system #performance #fast

For decades, banking software testing followed a simple rule: if the input is fixed, the output is fixed. We built an entire industry around precision and repeatability. But in an AI-first world where your customer's money is on the line? That rule is officially broken. 𝐐𝐲𝐫𝐮𝐬 𝐔𝐧𝐬𝐜𝐫𝐢𝐩𝐭𝐞𝐝 𝐄𝐩𝐢𝐬𝐨𝐝𝐞 𝟑 𝐢𝐬 𝐧𝐨𝐰 𝐋𝐈𝐕𝐄! In this episode, Anamika Ojha sits down with Shivani Sinha to talk about the messy, real-world quality engineering crises that wake teams up at 2 AM. We are moving past deterministic banking environments into a reality where fraud models retrain themselves, algorithms change their own behavior, and a routine patch can cause thousands of transactions to silently fail. That means testing in banking and financial services can’t just be about checking code anymore. It has to be about continuous validation, synthetic data, and strict guardrails. They dive headfirst into the topics that are making a lot of legacy teams uncomfortable, but are absolutely vital to talk about: 1️⃣ 𝐓𝐡𝐞 𝐅𝐫𝐚𝐮𝐝 𝐌𝐨𝐝𝐞𝐥 𝐓𝐡𝐚𝐭 𝐆𝐞𝐭𝐬 𝐆𝐚𝐦𝐞𝐝: What happens when an AI fraud model passes every single regression test perfectly, but quietly learns a dangerous pattern in production that locks citizens out of their own paychecks. 2️⃣ 𝐓𝐡𝐞 𝐅𝐫𝐢𝐝𝐚𝐲 𝐀𝐟𝐭𝐞𝐫𝐧𝐨𝐨𝐧 𝐑𝐞𝐠𝐮𝐥𝐚𝐭𝐨𝐫𝐲 𝐒𝐩𝐫𝐢𝐧𝐭: How sudden compliance mandates force teams to pick apart eight different legacy systems simultaneously, draining up to 40% of the entire QA budget just on regulation-driven regression. 3️⃣ 𝐓𝐡𝐞 𝐀𝐈 𝐂𝐮𝐬𝐭𝐨𝐦𝐞𝐫 𝐉𝐨𝐮𝐫𝐧𝐞𝐲: Why testing AI-driven loan eligibility or premium pricing is no longer just a technical quality problem, but a high-stakes legal requirement under new global audit trail mandates. Every technology decision in banking eventually becomes a trust decision. Code fails deterministically, but AI fails probabilistically. You need automated guardrails, not just gates. This isn't about checkboxes before deployment. It is about protecting market trust and giving your engineering team the confidence to ship rapidly without risking the business. The future of quality engineering is unlimited, and it starts right here. Let’s dive in. 👉 𝐖𝐚𝐭𝐜𝐡 𝐨𝐧 𝐨𝐮𝐫 𝐏𝐨𝐝𝐜𝐚𝐬𝐭 𝐋𝐚𝐧𝐝𝐢𝐧𝐠 𝐏𝐚𝐠𝐞: qyrus.com/podcast/ 👉 𝐂𝐚𝐭𝐜𝐡 𝐭𝐡𝐞 𝐅𝐮𝐥𝐥 𝐄𝐩𝐢𝐬𝐨𝐝𝐞 𝐨𝐧 𝐘𝐨𝐮𝐓𝐮𝐛𝐞: youtu.be/h8kU3rznUD8 #QyrusUnscripted #Podcast #QualityEngineering #SoftwareTesting #FinTech #AIBanking #DevOps #AutomationTesting

Your applications are only as reliable as their APIs. Yet, many teams still manage APIs reactively—focusing on testing, quality, and observability only after failures occur. This approach often results in production incidents, integration issues, performance bottlenecks, and costly troubleshooting cycles. We shift API quality left by enabling teams to continuously validate API functionality, performance, and reliability throughout the development lifecycle. From design and testing to deployment and monitoring, qAPI helps engineering teams identify issues earlier, reduce risk, and accelerate delivery with confidence. 🎥 Watch the video to see how qAPI helps organizations build resilient, high-quality APIs through proactive testing and governance. #API #APITesting #QualityEngineering #DevOps #PlatformEngineering #DeveloperExperience #QAPI #SoftwareQuality

@TARUNspeakss Redbull needs to see this

India is just so random bro😭😭 Bro is literally sleeping in Bull’s lap😂😂

#feature update RAG apps don’t usually fail because the model is “bad.” They fail because the system "sounds confident" while answering from the wrong source. That’s the RAG problem in one line: retrieval drift + bad grounding = believable hallucinations. So we’re launching RAG Testing on qAPI—built to help teams validate the part most people skip: - Did the system retrieve the right chunks? - Did the answer actually come from the provided sources (or did it improvise)? - How much of the response is grounded vs. paraphrased vs. made up? - Where are the coverage gaps in your corpus that force the model to guess? If you’re shipping anything with: - knowledge bases - customer support copilots - internal search / enterprise Q&A - docs-driven assistants …you need a test report that tells you more than “prompt passed.” Because “it answered” isn’t the same as “it answered from the truth.” If you want to try it, comment "RAG" and we’ll send access details. What’s the biggest failure mode you’ve seen in production—wrong source or no source? #RAG #LLMOps #GenAI #AITesting #QualityEngineering #QAPI #RetrievalAugmentedGeneration

Is AI replacing SaaS platforms, or is it completely redefining them? 🤔 In the second episode of our Qyrus Candid series, our Sales Head India, Suraj Menon, sits down with Harshitha N, Senior Software Engineer, to unpack the real impact of the AI transformation on enterprise buying behavior and the SaaS market. Enterprise buyers aren't just looking for AI as a checkbox feature anymore. They are looking for concrete, business-driven outcomes, robust governance, and true value validation. Key takeaways you'll get from this chat: The Evolution of SaaS: Moving from systems of record and workflow to systems of intelligence. Changing Buyer Dynamics: Why today's buyers are more informed, more skeptical, and heavily focused on ROI. The Partner Shift: Why channel partners are becoming increasingly selective about the vendors they back. 👉 Watch the full discussion below to see how the new wave of tech growth is being shaped! #QyrusCandid #SaaS #GenerativeAI #EnterpriseTech #BusinessTransformation #TechLeadership

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