api Memes

How Do Backend Developers Show Proof Of Work? No UI, No Screenshots… So What's The Portfolio

1 day ago 165.6K views 0 shares

How Do Backend Developers Show Proof Of Work? No UI, No Screenshots… So What's The Portfolio

Backend devs living that invisible life where their entire career is just terminal windows and Postman screenshots. Meanwhile frontend folks are out here with their flashy portfolios full of animations and gradients, while backend engineers are like "here's a cURL command that returns JSON, trust me bro it's scalable." The struggle is real though. How do you flex your microservices architecture and database optimization skills in a portfolio? "Look at this beautiful 200 OK response!" doesn't quite hit the same as a parallax scrolling landing page. Your masterpiece is a perfectly normalized database schema that nobody will ever see or appreciate. The monitor is blank because the real work happens in the shadows—where APIs are crafted, servers are optimized, and race conditions are debugged at 3 AM. No visual proof, just vibes and a GitHub commit history that screams "I know what I'm doing."

Backend Developer Life

Backend Programming

3 days ago 176.3K views 0 shares

Backend developers carrying the entire infrastructure on their backs while hunched over their keyboards like Atlas holding up the world. The posture says "my spine gave up three sprints ago" but the code still compiles, so who's the real winner here? While frontend devs are arguing about whether a button should be 2px to the left, backend folks are literally becoming one with their chair, shoulders permanently rounded from the weight of maintaining legacy databases, handling concurrent requests, and explaining to product managers why "just add it to the API" isn't a 5-minute task. That ergonomic keyboard isn't saving anyone when you're physically morphing into a question mark. But hey, at least nobody can see your posture through the API endpoints.

What About This

Backend Webdev Programming Cloud

3 days ago 206.3K views 0 shares

Finally, someone built an API for what most services already do anyway. "No-as-a-Service" is basically a rejection letter generator that gives you creative excuses instead of the standard "403 Forbidden" or "You shall not pass." Because nothing says "professional API design" like returning "Sorry, Mercury is in retrograde" when your request fails. It's the cloud service equivalent of your ex's elaborate breakup speech when a simple "no" would've sufficed. At least now when your deployment gets rejected at 3 AM, you can laugh at the excuse before crying into your coffee. The scary part? This is probably more honest than most SaaS error messages. Looking at you, "Something went wrong. Please try again later."

AI Economy In A Nutshell

AI Programming Cloud

6 days ago 180.8K views 0 shares

So you pitch your AI startup to VCs: "We're disrupting the industry with revolutionary machine learning!" They respond: "Cool, here's $50 million in funding to build it." Meanwhile, your actual tech stack is just OpenAI's API with some fancy CSS on top. The entire AI economy is basically investors throwing money at founders who then immediately hand it over to OpenAI, Anthropic, or Google for API credits. It's a beautiful circular economy where the only guaranteed winners are the companies actually training the models. The rest of us are just expensive middleware with pitch decks.

Weather App Went Low Level

Programming Webdev Frontend Backend

7 days ago 165.2K views 0 shares

When climate change gets so catastrophic that your weather app just gives up on human-readable formats and starts outputting raw binary. "Screw it, you figure it out," says the API. The temperature readings are literally 1° and 0° alternating like some kind of Boolean fever dream. It's not Celsius, it's not Fahrenheit—it's straight-up true and false weather. Your weather app just downgraded from a high-level API to assembly language because apparently the climate situation is now so dire it needs to be expressed in the most fundamental data type possible. Next update: weather forecasts delivered in machine code. "Partly cloudy" will be 0x4A3F2B .

Json Momoa

Programming Webdev Javascript Frontend Backend

8 days ago 139.9K views 0 shares

Someone just walked up to Jason Momoa and called him "json momoa" and honestly? The man looks like he's about to unleash the fury of a thousand misplaced commas. That death glare could parse your entire API and find every single syntax error in your soul. The absolute AUDACITY to reduce this majestic human to a data interchange format! Though let's be real, if Jason Momoa was actually JSON, he'd be perfectly formatted, properly indented, and would never throw a parsing error. Unlike the rest of us mortals who forget a closing bracket and watch our entire application burn.

Cookie Cutter For Empty Jsons

Webdev Javascript Programming Debugging Frontend

10 days ago 227.6K views 0 shares

Finally, a practical kitchen tool for when your API returns {} for the 47th time today. Just press it into your dough and boom—perfectly shaped emptiness, just like that response body you've been staring at for the past hour. The cookie cutter literally creates nothing but an outline, which is the most accurate representation of what you get when the backend "successfully" returns an empty object. Status 200, zero data, maximum confusion. At least now you can eat your frustration in cookie form. Pro tip: Pair these cookies with a nice cup of "why didn't they just return null" tea.

We Hired Wrong AI Team

AI Programming Backend

12 days ago 277.8K views 1 shares

When management thought they were hiring cutting-edge machine learning engineers to build sophisticated neural networks, but instead got developers who think "AI implementation" means wrapping OpenAI's API in a for-loop and calling it innovation. The real tragedy here is that half the "AI startups" out there are literally just doing this. They're not training models, they're not fine-tuning anything—they're just prompt engineers with a Stripe account. But hey, at least they remembered to add error handling... right? Right? Plot twist: This approach actually works 90% of the time, which is why VCs keep throwing money at it.

You Can Do Anything At Zombocom

Webdev Networking Security Javascript Programming

14 days ago 278.1K views 0 shares

The virgin API consumer is basically every developer's nightmare journey: drowning in OAuth flows, rate limits hitting like a 429 status code to the face, and having to verify everything short of their grandmother's maiden name just to GET some JSON. Meanwhile, they're shackled by tokens, quotas, and the constant fear that the API provider will yank their endpoint away like a rug. Then there's the chad third-party scraper who just... doesn't care. No OAuth? No problem. Rate limits? What rate limits? They're out here parsing HTML with regex (the forbidden technique that makes computer scientists weep), paying captcha farms pennies, and scraping so fast backends are having existential crises. They've got Selenium, curl, and the audacity of someone who's never read a Terms of Service. The best part? "Website thinks his user agent is a phone" and "doesn't care about changes in policies." While legitimate developers are stuck in OAuth hell, scrapers are just spoofing headers and living their best life. The title references Zombocom, that legendary early 2000s website where "you can do anything" – which is exactly how scrapers operate in the lawless wild west of web scraping. Fun fact: Companies spend millions building anti-scraping infrastructure, yet a determined developer with curl and a rotating proxy can still extract their entire database before lunch.

Suddenly People Care

AI Programming Debugging Backend Cloud

17 days ago 317.1K views 0 shares

For decades, error handling was that thing everyone nodded about in code reviews but secretly wrapped in a try-catch that just logged "oops" to console. Nobody wrote proper error messages, nobody validated inputs, and stack traces were treated like ancient hieroglyphics. Then AI showed up and suddenly everyone's an error handling expert. Why? Because when your LLM hallucinates or your API call to GPT-4 fails, you can't just shrug and refresh the page. Now you need graceful degradation, retry logic, fallback strategies, and detailed error context. The massive book represents all the error handling knowledge we should've been using all along. The tiny pamphlet is what we actually did before AI forced us to care. Nothing motivates proper engineering practices quite like burning through your OpenAI API credits because you didn't handle rate limits correctly.

Just Blame Each Other

Devops Webdev Programming Debugging Frontend

19 days ago 293.8K views 1 shares

When a 500 error hits, it's like watching the Hunger Games of software development. Frontend swears the API call was perfect, Backend insists their code is flawless, and DevOps is just standing there like "my infrastructure is pristine, thank you very much." Nobody wants to be the one who broke production, so naturally everyone points fingers in a beautiful circle of denial. Spoiler alert: it's probably a missing environment variable that nobody documented because documentation is for people who have time, which is nobody.

Going To The Supermarket Be Like

Backend Webdev Programming

20 days ago 233.5K views 0 shares

When you've spent enough time dealing with HTTP status codes, you start seeing them everywhere. Slot 404 is empty? Of course it is—resource not found. Classic. The fact that 403 and 405 still have drinks just makes it funnier because your brain immediately goes "forbidden" and "method not allowed" instead of just thinking "oh, they're out of Sprite." You know you're too deep in the backend trenches when a missing soda bottle at the grocery store triggers your API debugging instincts. Normal people see an empty shelf. We see error codes. This is what happens when you've written too many REST APIs and not touched grass in a while.

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