Production bugs Memes

Review AI Code

10 hours ago 103.0K views 5 shares

Yeah, that wall's gonna collapse in production. The junior dev suggests maybe reviewing the AI-generated code before shipping, but the senior's already committed to velocity over quality. "It compiles, ship it" energy at its finest. Sure, the foundation is wonky, the alignment is off, and there's probably a memory leak somewhere in those bricks, but hey—it works on my machine. The tech debt will be someone else's problem in six months when the whole thing comes crumbling down during a customer demo.

Found On Facebook

Debugging Programming

19 hours ago 171.5K views 0 shares

Why learn breakpoints and step-through debugging when you can just scatter print statements like breadcrumbs through your code? The superior debugging technique: if the print statement fires, you know the code got that far. If it doesn't, well, time to add more print statements above it. Debuggers are for people who have their life together. The rest of us are out here with console.log("HERE") , print("wtf") , and the classic System.out.println("why is this not working") . Bonus points if you forget to remove them and they end up in production.

When You Touch Legacy Code And Pray Nothing Breaks

Programming Debugging Testing Backend

8 days ago 197.6K views 0 shares

When You Touch Legacy Code And Pray Nothing Breaks

You know that feeling when you need to add one tiny feature to code that's been working fine since 2009? The codebase looks clean, organized, almost elegant. Then you change literally one thing—add a single field, update a dependency, breathe too hard near the config file—and suddenly the entire architecture collapses into a tangled mess of spaghetti that would make an Italian chef weep. The best part? You can't even figure out what half of it does anymore. There are no comments. The original developer left the company six years ago. The documentation is a README that just says "it works, don't touch it." But here you are, touching it. And now production is on fire. Legacy code: held together by duct tape, prayers, and the sheer terror of the next person who has to maintain it.

Smile And Wave Fellas

Databases Programming Debugging Backend

15 days ago 196.4K views 0 shares

Nothing quite like the existential dread of sitting through a standup meeting where your manager is cracking jokes while you're internally calculating how many backup jobs you forgot to verify before running that UPDATE without a WHERE clause. 42,700 rows is oddly specific too—not catastrophic enough to make headlines, but definitely enough to ruin your entire week and possibly your performance review. The forced laughter while your soul leaves your body is a survival skill they don't teach in bootcamp. You're just standing there hoping nobody checks the logs before you can quietly restore from yesterday's backup at 2 AM. Pro tip: always wrap your destructive queries in a transaction. And maybe start looking at those backup procedures you've been putting off.

Email Powered By Javascript And Bad Decisions

Javascript Webdev Programming Debugging Testing

17 days ago 258.4K views 0 shares

Email Powered By Javascript And Bad Decisions

When your bank's email template literally just prints "null" as your name because someone forgot to check if the variable exists before shoving it into the template. Like, imagine the developer who wrote Dear ${customerName}, and just assumed it would ALWAYS have a value. Spoiler alert: it didn't. The absolute AUDACITY of a major bank sending out emails that scream "we didn't test this" while simultaneously including a massive disclaimer about how their emails might be intercepted, corrupted, or contain viruses. Well, the biggest virus here is your quality assurance process, my friend. Nothing says "we value your business" quite like addressing you as the JavaScript equivalent of "404: Customer Not Found." At least they were sincere about it. Sincerely null. 💀

QA Skipped. Chaos Delivered.

Frontend Webdev Android Ios Programming

17 days ago 259.1K views 1 shares

Frontend dev thought they could ship responsive design without testing on actual devices. Now they're frantically checking if their CSS Grid masterpiece looks like abstract art on every screen size known to humanity. The progression from confident desktop view to "why does this button overlap three continents on mobile" is a journey we've all witnessed. Bonus points for the MacBook in the background - because nothing says "I've made a terrible mistake" like needing to debug on four devices simultaneously while your production deployment timer counts down. Should've listened to QA. They would've caught this before users started tweeting screenshots.

When Your Code Is 100% Fine Until It Hits Someone Else's PC

Debugging Devops Docker Programming Testing

17 days ago 257.1K views 0 shares

When Your Code Is 100% Fine Until It Hits Someone Else's PC

You know that beautiful moment when your code runs flawlessly on your machine? All tests passing, no errors, pure bliss. Then you ship it to a colleague or deploy it to production and suddenly it's like you've summoned a demon from the depths of dependency hell. The existential crisis hits hard when you realize their Python version is 0.0.1 different, they're missing that one obscure system library you installed three years ago and forgot about, or—plot twist—they're running Windows while you've been vibing on Linux this whole time. Suddenly you're the bear at the laptop, gesturing wildly trying to explain why "works on my machine" is a perfectly valid defense. Docker containers exist for this exact reason, but let's be honest—we all still ship code with a silent prayer and hope for the best.

Find First And Last Name Using Reg Ex

Programming Security Debugging Backend

19 days ago 318.8K views 0 shares

You craft a beautiful regex to extract first and last names for data redaction, test it on "Truman Donovan" and feel like a genius. Then you deploy it to production and discover it's also happily matching "Jeffrey Epstein" in email headers. Oops. The regex is doing exactly what you asked—finding patterns that look like names—but it has zero concept of context. It can't tell the difference between "data that needs redacting" and "email metadata that absolutely should not be touched." Your regex doesn't care about your intentions; it just sees `\b(word)\b` and goes ham. The real kicker? That monstrosity of a regex pattern `(?=.+\b(don\w+|d\.?)\b)(?=.+\b(truman)\b).*` with 15 matches and 874 steps is probably still missing edge cases like "O'Brien" or "José García" while simultaneously nuking your email headers. Classic regex overconfidence meets reality.

Dev Life Production Problems

Debugging Devops Programming Testing Backend

19 days ago 246.2K views 0 shares

The shocked koala perfectly encapsulates that moment of pure disbelief when your code passes all local tests, runs flawlessly on localhost, and then immediately combusts the second it touches production servers. You've checked everything twice, your environment variables are set, dependencies are locked, but somehow production has decided to interpret your perfectly valid code as a personal insult. The culprit? Could be anything from a subtle timezone difference, a missing font on the production server, a slightly different Node version, or the classic "works on my machine" syndrome where your local environment has some magical configuration that production doesn't. Fun fact: studies show that 73% of developer stress comes from the phrase "but it worked locally" followed by staring at production logs at 2 AM.

Can You Imagine The Story For This Card

Debugging Webdev Programming Testing Frontend

21 days ago 198.7K views 0 shares

A formatting bug caused a film review to display 1 star instead of the intended 0 stars. The correction was published on February 2, 2026—a date that hasn't happened yet. Someone pushed a datetime bug to production and nobody noticed until The Guardian had to explain why they're correcting reviews from the future. The Jira ticket for this probably has 47 comments, 3 sprint reassignments, and ends with "works on my machine." The real tragedy? The reviewer wanted to give it zero stars but the system said "nah, minimum is 1." Classic off-by-one error meets timezone chaos meets someone hardcoding dates. Beautiful disaster.

We Don't Deploy On Friday

Devops Programming Debugging Backend Cloud

24 days ago 313.5K views 0 shares

Friday deployments are the forbidden fruit of software development, and this developer just took a big ol' bite. Cruising along smoothly on a regular day? No problem! But the SECOND you decide to push that "deploy" button on a Friday afternoon, you've basically signed a blood oath to sacrifice your entire weekend to the bug gods. What could possibly go wrong, right? EVERYTHING. Everything can go wrong. Now instead of enjoying your Saturday brunch and Sunday Netflix binge, you're frantically SSH-ing into production servers at 2 AM in your pajamas, wondering why you didn't just wait until Monday like literally every senior dev warned you. The golden rule exists for a reason, folks—your weekend plans are NOT worth testing in production when nobody's around to help you clean up the mess.

Node Js Printing Logs

Javascript Webdev Programming Debugging Backend

24 days ago 274.7K views 0 shares

You know that console.log() you threw in there to debug that one weird edge case six months ago? Yeah, it's still there. Chilling in production. Logging every single request like a chatty parrot. The brain's concern is totally valid—print statements in production are unprofessional, can leak sensitive data, and clutter your logs. But the developer's casual "I'll remove it next release" is the tech equivalent of "I'll start going to the gym next Monday." Spoiler: they won't. Then comes the plot twist: "It's javascript." And suddenly all bets are off. The brain just accepts defeat because in the Node.js ecosystem, console.log() is practically a feature at this point. Half the npm packages you're using probably have forgotten console.logs scattered throughout their codebases. Your production logs are basically a archaeological dig site of debugging statements from 2018. The real tragedy? That print statement will outlive the developer's tenure at the company.

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