The Four Stages Of Debugging Grief

Content True Programmers don't comment their code. find and copy-paste If it was hard to write then it should be hard to read. ProdrammerHumor io

The eternal debugging cycle in its purest form! The smug Senior Dev asks how the intern fixed a bug, expecting some technical wizardry. The innocent intern proudly admits they just "commented the code" - literally removing the problematic code from execution. Tom's horrified reaction is EXACTLY how senior devs feel when they realize the codebase is now littered with /* TODO: Fix this later */ comments hiding broken functionality instead of actual fixes. The dreaded "it works if you don't run it" approach to software engineering that haunts code reviews everywhere!

The duality of API testing tools is just *chef's kiss*. While normal developers see Postman as a simple wrench to fix API requests, Postman sees itself as the Apple of testing tools – complete with grandiose keynotes and revolutionary features nobody asked for. What started as a humble Chrome extension has evolved into a bloated ecosystem that requires 16GB of RAM just to send a GET request. Meanwhile, developers just want to check if their endpoint returns a 200 OK without having to join a cult. The irony? We're all still using it while complaining about it. Stockholm syndrome for developers.

Content CodeSnail all codesnail Complex debugger exists print("here")

Content THIS IS GIT. IT TRACKS COLLABORATIVE WORK ON PROJECTS THROUGH A BEAUTIFUL DISTRIBUTED GRAPH THEORY TREE MODEL. COOL. HOW DO WE USE IT? NO IDEA. JUST MEMORIZE THESE SHELL COMMANDS AND TYPE THEM TO SYNC UP. IF YOU GET ERRORS, SAVE YOUR WORK ELSEWHERE, DELETE THE PROJECT, AND DOWNLOAD A FRESH COPY.

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);