HyperTest

Unlocking Smarter Code Coverage in TDD ?? We're back with another edition of our TDD newsletter! This time, we’re diving into a common challenge: code coverage. How much is enough? How do you make it meaningful without writing unnecessary tests? We’ll be tackling these questions and more in this edition. Meanwhile, here’s what leading voices in the TDD space are talking about this month: ? Bas Dijkstra highlights how delaying test writing leads to inefficient automation.? Post link: https://lnkd.in/gHpeWmkn ? Kent Beck values developers ensuring reliable changes over strictly following a workflow but expects real proof of that responsibility in practice. Post link: https://lnkd.in/gTCYAMAh ??John Crickett?highlights that TDD is one way to capture requirements, design, and implement reliably, but it’s not the only way. Post link: https://lnkd.in/gQuiVBtK ? Florian Fanderl shares his long-term experience with TDD, emphasizing the importance of writing tests first, and keeping them fast. Post link: https://lnkd.in/g6bSukFS Make sure to subscribe to our newsletter to stay informed on everything TDD. ?? #TDD #hypertest #codecoverage #agile #technewsletter #softwaretesting #testautomation #unittesting #DevOps

Customer Spotlight: Mohammad Aziz from Zoop.one We’re excited to share how Mohammad Aziz, Platform Lead at ZOOP, is using HyperTest to simplify integration testing! How Zoop Uses HyperTest? ? No more bottlenecks Testing complex integrations has now become smooth and fast ? Smart mocks Simulating real-world scenarios without relying on live services improves reliability ? Faster testing Reduced delays and faster shipping of well-tested features A huge thank you to Aziz and the Zoop.one team for trusting HyperTest! Your feedback helps us keep improving and making testing effortless for developers everywhere. ?? #hypertest #testimonial #integrationtesting #zoopone #softwaredevelopment #devOps #testingtools

Before implementing HyperTest, one of the biggest challenges?ZOOP?faced was mocking the third-party API calls, the DB query, and the Kafka queue messages. Thanks to Jabbar M., SDE-3 at Zoop.one, who shares his experience of using HyperTest and highlights some of his favorite features: ? Test execution on real traffic for higher accuracy ? Comprehensive mocking of third-party APIs and database interactions ? Slack integration for real-time updates on test runs, pass/fail reports, and more ? Detailed code coverage reports with insights into branch, line, and statement coverage With HyperTest, Zoop.one has enhanced bug detection, test coverage, and production visibility. ?? To know more about how exactly we helped Zoop, here's your video to watch: https://lnkd.in/gaaxuSaa #hypertest #zoop #customertestimonial

99% of engineering teams with automation engineers seem to be very happy having a massive test suite. Teams celebrate having thousands of automated tests, yet can't answer the simple question - "What exactly are we testing?"????? Here are 4 reasons why thousands of automated tests that does not measure code coverage is worse than having no tests at all 1?? Code is the source of truth The actual application code, not test scenarios, defines what your system does. User flows may succeed while critical code paths remain untested. A passing test suite means nothing if it's not verifying the actual code 2?? Number of Tests != better quality of tests 1000s of tests that can't tracks exactly which code path they execute and which they DON'T are technical debt in disguise 3?? Quality = Assertions Tests must verify specific code behaviours through assertions i.e. WHAT you're asserting and WHICH code those assertions actually test. Strong assertions combined with high coverage create meaningful tests 4?? Covering every piece of code >> covering some user flows Code coverage forces to think about all possible execution paths. User flows only test happy paths so without coverage metrics crucial code paths will remain untested TAKEAWAY This is the difference between faith and belief. Faith is unverifiable much like having faith that 1000s of tests that don't track code coverage can promise quality. Instead choose belief i.e. we believe our quality gates work because our tests verifiably track with code that they test #engineering #automation #tests

Mock APIs, Message Queues, and Databases in One Place? Yes, that problem resonated well! 170+ registrants confirmed it: Writing, maintaining, and updating mocks is a challenge. Thanks to our presenter Raul Junco and HyperTest founder Shailendra Singh who broke it all down: ??Auto-generate mocks for APIs, message queues, and databases with no manual setup ?? Keep mocks in sync with real data ?? Mocks update automatically as systems evolve, reducing maintenance effort If you missed it, we’ve got you covered. Watch the recording here: ?? https://lnkd.in/gYAdz2AX #webinar #mocks #integrationtesting #hypertest #softwaretesting

Mocking APIs, message queues, and databases has always been a headache. Manual updates, fragile setups, and endless maintenance sound familiar? We’re changing that. Join system design expert Raul Junco and our founder Shailendra Singh for an exclusive webinar: 'Mock APIs, Message Queues, and Databases in One Place.' Together, they’ll demonstrate how HyperTest transforms mocking with auto-generated, real-world-ready mocks that adapt to changes seamlessly. ?? What’s in it for you? ? Learn how to generate mocks for APIs, message queues, and databases automatically. ? Discover strategies to keep your mocks in sync with minimal effort. Stop letting mocks hold you back. Join us live to take your testing to the next level! ?? Date: January 29th, 2025 ?? Time: 7:30 PM IST | 9:00 AM EST

The wait is over! ? We’re going live today at 7:30 PM IST / 9 AM EST. If you haven’t registered yet, be quick.?? Let’s solve the mocking challenge once and for all with HyperTest. #hypertest #mocking #webinar

And we're back with another insightful edition of our TDD newsletter. ?? This time, we're talking about one interesting and widely accepted problem of "mocking in TDD". You're going to see the solution tomorrow in our live event with Raul Junco. Don't miss out?? https://lnkd.in/g9VPrXgw On the influencer's front, we've insights from Andrea Laforgia, Allen Holub, Valentina (Cupa?) Jemuovi?, and Jelena Cupa?. ? Andrea Laforgia suggests that TDD is better as a design tool than merely a testing approach.? Post link: https://lnkd.in/gSe3TkCN ? Allen criticizes the misuse of technical terms like TDD, asserting that it is a precise development strategy defined by Kent Beck, not a testing strategy.? Post link: https://lnkd.in/gHM4tni2 ? Valentina highlights that writing tests after code causes inefficiencies, while TDD offers shorter feedback loops Post link: https://lnkd.in/gMdqra7p ? Jelena Cupac advises naming tests to clearly describe the specific behavior being tested, avoiding vague terms like "success.” Post link: https://lnkd.in/gjbkzhin Don’t miss tomorrow’s event to explore how advanced mocking techniques can transform your TDD workflow. #tdd #hypertest #webinar #mockinginTDD #mockingdb #agile #technewsletter

?? Chain of Thought (CoT) or reasoning models like Deepseek and o1 have an ace up their sleeve They would prevail over GPT-4o and other large language models in a specific class of problems Problems that have clear correct answers, for example mathematical problem solving and coding While LLMs just memorised a lot of information to generate answers, CoT models are like a person using a pen and paper to work through a math problem They get to an answer with higher accuracy over LLMs because they generate not one but a bunch of answers at the same time and use an internal or external check to select the best answer. This will be a breakthrough for tasks like coding ? So what does this mean for devs using coding copilots that use GPT-4o or similar LLMs They might continue to suck at generating code beyond small suggestions and hints because generating meaningful code means more context. More context = reading more code = more tokens; super expensive with current LLMs Deepseek will solve that. Generate more meaningful code because it can reason better with wider context it builds by reading more code. In both cases, AI coding copilots will become a permanent fixture ?? And as they get better we will see more AI generated code, hence more semantic issues & security flaws passing unnoticed i.e. more blindspots for devs. Devs would need a simple way to verify if AI generated code break 1?? positive as well as negative flows 2?? code boundaries, integrations like database calls, API interactions. We are building HyperTest to be that test agent for devs. Completely autonomous so that devs can use and trust AI generated code without needing someone to look over their shoulders. Developers at Skuad: a Payoneer company agree with our vision.

It’s been a few months since Kuldeep Bishnoi joined us as a Java Developer at HyperTest, but it’s never too late to celebrate! ???? His problem-solving skills are helping us thrive. Welcome aboard, Kuldeep! ???? #newteammember #newjoinee #hypertest #javadeveloper #techteam