That one test you failed to make comes to bite you in the ass...

Trusting AI-generated test results without verification is like believing your code works because it compiled successfully. Sure, the AI confidently declared "all tests pass," but did it actually write meaningful tests, or did it just check if true === true ? Meanwhile, production is literally on fire, but hey, the tests passed, right? The serene "this is fine" energy while everything burns around you perfectly captures that moment when you realize the AI's test coverage was about as thorough as testing a calculator app by only checking if it turns on. Trust, but verify—especially when your QA department is a large language model that thinks edge cases are just suggestions.

Content Backend Software Develo... D-Orbit Lisboa, Portugal in Candidatura simplificada Salvar Qualifications and Requirements Strong experience in Python programming (at least 3 years): Knowledge of asynchronous programming: Strong knowledge about Pythons' unit testing frameworks (preferably pytest); Experience in the use of Cython library for generation of python extensions; Strong experience in Java programming (preferable experience in Kotlin): Experience in maintaining Java based web applications: Strong experience in C programming; Strong experience in the use and design of REST APIs; Strong experience on event-driven architectures (pubsub pattern); Strong familiarity with Git distributed version control system; Strong experience of the use of commandline of the Linux based operating systems; Strong experience in debugging distributed applications potentially running in remote environments: Experience in agile development methodologies (e.g.. Scrum, TDD); Experience with applications that handle large datasets: Experience in implementing caching mechanisms (i.e., using Redis); Experience in NoSQL databases such as Cassandra and Redis; Experience in relational databases, namely PostgreSQL: Experience using Kafka, MQTT and Redis as message brokers: Experience in cloud-based environments, namely AWS; Experience in the definition and use of Docker containers; Experience in orchestration of docker containerized microservices using Kubernetes; Some experience in working under DevOps oriented methodologies: Pipeline definition: Test execution automation; Some experience in web application development using the microservices architectural paradigm; Experience in designing web-based applications considering the need for scalability, reliability and security; Experience with Jira framework: Experience of bash shell scripting; Experience in JavaScriptTypescript: Experience in authentication and authorization mechanisms; Experience with event bus technologies (e.g., Kafka);

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The software development lifecycle in its purest form. First they want you to code it. Then distribute it. Then "improve the quality." And finally, the inevitable descent into debugging hell where your name echoes through the office like a cursed mantra. The comic perfectly captures that moment when you realize your beautiful creation has transformed into a bug-infested nightmare that only you can fix. Welcome to the ninth circle of developer hell – where the only thing more infinite than the bugs is the expectation that you'll fix them all by yesterday.

Content A software tester walks into a bar. Runs into a bar. Crawls into a bar. Dances into a bar. Flies into a bar. Jumps into a bar. And orders: a beer. 2 beers. O beers. 99999999 beers. a lizard in a beer glass. -1 beer. "qwertyuiop" beers. Testing complete. A real customer walks into the bar and asks where the bathroom is. The bar goes up in flames.

Content Othe ONION America's Finest News Source. HOME LATEST NEWS LOCAL POLITICS ENTERTAINMENT SPORTS OPINION k shop Subscribe g ENTERTAINMENT Programmer says he is actually great at his job and his laptop is just gaslighting him over non-existing problems Published July 17, 2023