qAPI

@Star_Knight12 This is terrifying. Valid signed packages via their own release pipeline. Even 2FA didn’t save them. Everyone using TanStack Router / Query / Table etc. — audit your deps immediately and nuke any 1.169.x suspicious versions. Stay safe out there.

npm just got the scariest supply chain attack ever. 42 official tanstack packages compromised, 84 malicious versions. tanstack/react-router alone has 12M+ weekly downloads. → the attacker forked the repo with a hidden commit → tricked tanstack's own release system into signing the malicious packages → even the cryptographic proof of origin looked 100% legit → it steals github tokens, npm tokens, AWS, azure, and cloud secrets → it survives even after you npm uninstall → the team had 2FA enabled, it didn't matter. first npm worm in history that shipped with a valid signed certificate of authenticity. opensearch, mistral AI, guardrails AI, UiPath all compromised. check your dependencies right now.

#thread cont.

Most of you don’t realize this: When you click “Pay Now,” dozens of API calls happen in the background in a matter of seconds. Your frontend sends payment details. Your backend authenticates the request. Stripe checks the card. Fraud systems score the transaction. Banks approve or decline it. Webhooks update your order status. Now as a user, it feels instant. But under the hood, it’s a carefully orchestrated conversation between systems. That’s the use of APIs. APIs are the contracts that allow your daily used softwares to communicate reliably. They define: • What data can be sent • What responses are expected • How errors should be handled • What guarantees each system makes to the next Stripe is one of the best real-world examples of API design done right. Its APIs abstract away an enormous amount of complexity—bank integrations, compliance, retries, fraud checks, and settlement workflows—into a few well-structured endpoints. That’s why great APIs feel deceptively simple. But simplicity at the interface requires rigor behind the scenes. And this is where many teams struggle. As systems grow, the challenge isn’t just building APIs. It’s ensuring they continue to behave exactly as downstream services expect. Because one “small” change like: customerId → clientId can silently break billing, analytics, customer support, and reporting systems. This is why API testing and contract testing have become essential engineering practices. The best APIs aren’t just functional. They’re predictable. They’re versioned. They’re tested continuously. And they evolve without breaking the teams and systems that depend on them. If you’re building products powered by APIs, understanding this architecture is no longer optional. It’s foundational. #API #Stripe #SoftwareArchitecture #APITesting #ContractTesting #Microservices #DeveloperTools #Fintech #BackendDevelopment #Engineering #dev #APITests #DeveloperExperience #SoftwareTesting #EngineeringTeams #DevCommunity #BuildInPublic #qAPI #new #prod #dev

We went deep into Reddit so you don't have to. 🔍 We pulled the most asked (and most frustrated) questions around API testing today and turned them into a raw, unfiltered breakdown video. Just real answers to the questions teams keep repeating: 👉 Is schema validation actually enough for test automation?. 👉 Why do contract tests fail in real life, even when the build passes? If your team builds or tests APIs, this is the closest thing you’ll get to a real-time developer feedback loop. Catch the video below to see how to solve these issues before your users run into them. #APITesting #DeveloperExperience #SoftwareTesting #API #EngineeringTeams #DevCommunity #BuildInPublic #qAPI

@cgtwts Always test your APIs before, so you don't have to deal with troubles later

Coinbase’s CEO lays off a ton of employees and says: “Non-technical teams are now pushing code to production with AI” less than 24 hours later: coinbase’s trading engine goes down and somehow even the status page breaks too

@cgtwts That's why our customers test before you deploy

@MarioNawfal Experience brings expertise!

I guess the "house always wins" rule doesn't apply when Grandma shows up with 50 years of experience.

@r0ktech When Claude is down

Gen Z in 2050 after using Claude for everything.

@tanujDE3180 Us For even remotely believing it's real

Tech Hiring is messed up in India Who’s more wrong here ?

@DataChaz Now I'm curious

name the LLM

Tip #5

Almost every API slowdown, confusion, or rework starts here… poorly designed URIs. Teams often overlook this “small” detail—but unclear, inconsistent REST API endpoints quietly create developer friction, integration errors, and long-term maintenance pain. The real reason? Your API’s URI structure isn’t just naming—it’s communication at scale. When your URIs clearly reflect your resource model: ✅ Developers understand your API faster ✅ Integrations become predictable ✅ Debugging gets easier ✅ Future changes don’t break everything Ignoring this leads to hidden costs: wasted dev hours, onboarding delays, and fragile systems. 💡 The good news: It doesn’t take massive redesigns—just a few simple, intentional rules applied early. If your team builds or consumes APIs, this is one of those fundamentals you can’t afford to skip. 👉 Start getting your URIs right today—your team (and sanity) will thank you. For more such tips and tricks around API Testing keep following qAPI #restAPI #rest #api #development #build #design #test #iterate #simplify #qAPI

Tip #4

Are you shipping APIs faster than you test them? Here’s the pattern we keep seeing: devs merge new endpoints at the last minute, QA gets a stale Postman collection late, runs it manually, and finds out Friday that one change broke a downstream service. The test suite is already outdated. CI passes because the tests don’t match reality. PRs get blocked, releases slip, and engineers spend their week tracing broken contracts instead of building. “We’ll update the tests next sprint” just becomes permanent tech debt. That’s why engineering teams need a simpler solution. qAPI fixes the broken feedback loop. qAPI watches your code changes, auto-generates contract and workflow tests, and runs them in your pipeline before the PR merges. When an endpoint changes, the tests adapt with it. No more stale collections. No more “it passed CI but broke prod” surprises. Just continuous validation that actually matches what you’re shipping. When testing finally meets your pace: ✅ Regressions get caught in PRs, not production ✅ QA stops playing catch-up with manual runs ✅ Engineers get their week back If you’re tired of your current cycle and want to close the gap between velocity and reliability, see how qAPI fits your workflow. Book a call: qyrus.com/qapi/ #product #development #release #cycle #sprint #software #development #api #qapi #git #gitbub #contribute #bug #feature

Burning the midnight oil isn’t impressive anymore. If you’re not fast and effective, you’re just slowing your team down. We see teams are able to ship faster because they don’t spend hours on repetitive API testing. They automate it—and move on. It's because teams trust qAPI, it helps teams move faster by doing the heavy lifting for you. With qAPI, you can automate end‑to‑end API testing, validate workflows at scale, and catch issues early—without writing the same tests over and over again. Once configured, qAPI runs silently in the background, continuously validating APIs while your team focuses on building and shipping. No late nights. No manual checks before every release. Just reliable automation that works while you don’t. Automate the tests. Ship with confidence. Log off on time. Try now- qapi.qyrus.com #work #schedule #overtime #automation #smartwork #growth #scale #product #development #saas #AI #agentic #qapi #apitesting #llm #agents #claude #build #test #skill

Behind every line of code, every successful launch, and every solved problem is a person with a story, a family, and a relentless drive to make things better. We celebrate International Labour Day to pause and recognize the human effort that built the modern world—and the incredible effort that builds our company every single day. To our team: You are the late-night brainstormers, the problem-solvers, and the supportive teammates who make this place feel like a community. We are deeply grateful for the heart you put into your work. We believe in you not just for what you do, but for who you are. Today is a reminder that while we build great things together, our greatest achievement will always be the people we’ve become along the way. Happy International Labour Day to all the hands and minds that move us forward. ❤️🙌 #LabourDay #OurTeam #WorkFamily #Grateful #HumanFirst #workplace #global #workforce #support

Test your LLMs here: qapi.qyrus.com

If you have argued about which LLM is "the best" in the last 3 months, this post will save you 100 hours of useless debate. This is the single most important 2x2 matrix in AI right now. There is no best model. There are only four quadrants: ❌ Do Not Ship ⚡ Fast But Wrong ✅ Right But Useless 🚢 Ship It Two immutable laws of LLM product development: Speed without accuracy = broken product Accuracy without speed = unusable product The entire LLM industry has collectively decided to pretend this is not true. People will spend 3 months optimizing a model to get a 2% better MMLU score, and not notice that they also increased latency by 8x and now no actual end user will ever wait for it. Other people will ship something that responds in 120ms and is wrong so often it might as well be a magic 8 ball. The greatest trick anyone ever pulled was convincing the world that the goal is the highest scoring model. The actual goal is the model that lives in the top right quadrant for your exact use case. Nothing else counts. Not a single hot take. Not a single leaderboard position. Be completely honest in the comments. What quadrant is your production model living in right now? And how are you evaluating it? Link in comments. #llm #agents #ai #agenticai #custom #dev #development #testing #evaluator #tester #api #qapi #benchmarking #position #tracking #accuracy #productlaunch #product #new #launch

Everyone today, so they can enjoy the long weekend #holiday #longweekend

What challenges have you faced while building your own customized LLM tool? Is it clarity? Is it ensuring accuracy? Or something else? #ask #AIBoom #ai #chat #tech