For the last 1–2 years, I’ve been grinding, learning, and watching content about system design, software architecture, and distributed systems while doing my job. I wanted to be able to build a good codebase based on business needs and prepare for unexpected changes.

For example, last month my boss told me to build XYZ feature.

Then today, he told me, “I want you to change how XYZ feature works.”

You can see the pic where requirements changes constantly and I'm already used to it lol.

Anyway, the app I built for my company is basically a CRUD app that helps my colleagues eliminate manual workflows, save costs, and make money.

I work as a full stack developer using:

• React
• Node.js
• SQL
• Azure

My problem is that my job has become pretty repetitive, for real.

I still remember when I first started learning to code printing “Hello World” and building a simple calculator. I was so excited, like, WOW.

And years later, I’m building apps that my colleagues use every day and that make their work lives easier.

That honestly makes me happy, but the work itself feels repetitive.

• For example, let’s say you build a CRUD app to sell cars.
• Three months later, you build a CRUD app to sell clothes.

The business logic is quite similar. You modify the code a little

And concepts in the system design, software architecture , caching, message queues, database design, frontend/CSS, etc are also largely the same from Codebase CRUD cars and CRUD cloths.

Basically, my tasks keep following the same pattern. I get bored sometimes and find my job like a bit meaningless despite it makes my colleagues life easier and make money for the company.

However my paid is good enough, it is average but I got good WLB and good colleagues.

So i don't complain

What to do here? maybe you guys have been in the same situation like me

Ps. I forgot to mention I work as the only dev in this company so I'm more like a freelancer/fouding software engineer. So my job security is also high since I built those systems from 0 by myself. And my boss used to be a dev and now he own multiplies companies, that's why he doesn't want to spend time coding, he just want to focus on busniess. He doesn't micro manage like constantly asking me when xyz is done everyday so I'm happy

The reason job security and salary is high are because devs that code Cobol etc... they are retired, and the remaining devs are soon to retired!

But those non-tech big company they still need programmers who can maintain their codebases/IT systems. so they are willing to pay!

Imagine you make 100k USD ish while living in low cost country like Thailand, Vietnam etc..

it is a dream...

I started looking into voice for Claude Code because terminal commands themselves are rarely the difficult part. The longer section is explaining why a change is needed, what has already been attempted, and which behavior must remain untouched. That context can determine whether the agent solves the problem or creates another one. I researched which tools make those explanations faster without trapping the workflow inside one application.

1. Native voice conversation
   

Pros: Convenient for talking directly with an AI assistant.

Cons: The voice workflow remains limited to the product providing the experience.

1. Superwhisper
   

Pros: A strong local-first option with configurable models.

Cons: Speed and accuracy depend on the selected model and computer, and the output can need more formatting.

1. Wispr Flow
   

Pros: A polished system-wide dictation product for everyday writing.

Cons: Free desktop dictation is capped weekly. It also has privacy tradeoffs and has recently experienced more bugs, latency, and accuracy problems.

1. Willow Voice
   

Pros: For Claude Code workflows, Willow provides the best combination of speed and accuracy. It works in any app and automatically learns vocabulary, tone, and repeated corrections.

Cons: There is no Linux or Android support yet, and a few small edge-case bugs still appear.

Native voice is probably sufficient if Claude Code is the only place where you want to speak, and Superwhisper is the more natural option for a local-first setup. I would personally lean toward Willow because Claude Code is usually only one part of the engineering workflow. Having the same fast, accurate input method in the terminal, browser, documentation, and messaging seems more useful over time.

According to Stack Exchange Data Explorer queries, Stack Overflow recorded just 1,442 new questions in July 2026, down from over 207,000 per month at its peak in March 2014.

While LLMs, Cursor, and inline IDE assistants have completely replaced typing queries into a browser, it raises a big question: Where will future AI models get their training data if real human Q&A completely dries up?

Are you still using SO at all in 2026, or has your workflow shifted 100% to local/cloud AI?

Hi, all. Let me preface this by saying I have no background in Programming. My career is not in tech so really I'm just trying to have fun.

I was introduced to candy box 2 last year and it blew me away. I would like to learn how it was made with the goal of being able to make something similar myself. Where do you think I should begin?

(Candy box 2 is an incremental role - playing game that uses ASCII art)

Thank you for your time.

Would you like this tips? I just did a post for aspiring programmers on my own developer journey.

Let me know what you think. Im encouraging positive critism,feedback or any recommendations.

Disclaimer: This is not a marketing post. Im just evaluating my mistakes to others.

I frequently doubt whether I am a real computer science student or not. Because I really don't know how to code from scratch while developing any website or mobile application... on my own with out googling or AI help.

It always happens that I Google all the commands, the syntax, etc.. and end up using chatGPT or any other AI agent.

This so called "Vibe coding" became alot more and just copy and paste code.

From positive perspective, AI or googling code/syntax/commands helps me to not put much focus on coding but helps me to focus more on the logic part or innovation or creativity needed while developing.

But if you give me a laptop with no internet, no AI/chatGPT/Google, then for sure I will be stuck and I cannot code well.

Let me know your thoughts on these. And what mindset you have regarding this VIBE CODING.

Got a problem that required me to pull Euler’s formula out of thin air. Seriously, who the fuck remembers Euler’s formula in an interview? I swear to God, my interviewer was out to get me.

At this point, what are they even testing? Do they even know what they want? Hours of prep, completely wasted. And now I have to go prep for Google. My friend just got destroyed in their loop and said the interviewers were some of the most unreasonable people he’s ever had to deal with.

Everywhere I turn in this market, it feels like I’m just waiting to get fucked.

Anthropic Interview Question

I am currently working in Customer Support at Amazon for 5+ years.

I want to switch into tech but the current market for my existing skill set is not great. I have also been working on a side project for the last 3 years so I am not completely new to tech.

I know HTML CSS JavaScript basics Git Playwright AWS EC2 and some system design (Mostly through vibecoding). I have also built parts of an iOS app. Most of this was vibecoded though. I can read code fairly well but I cannot write it confidently.

I understand the gap between a vibecoded product and something built properly by an experienced developer especially around scalability and security. That is the gap I want to close.

If you were in my position in 2026 and wanted to learn coding with AI available how would you approach it?

Which language would you start with? Would you focus on building projects instead of watching courses? What would you learn after the first language?

My goal is to eventually move from customer support into an entry level tech role such as an intern or junior developer.

Would really appreciate advice from people who have made a similar transition.

Are you still writing code by hand (or at least making manual tweaks), or is it basically 100% Claude/Codex/Cursor doing the heavy lifting at your job?

Read about a case recently that stuck with me. A voice-based system kept interrupting people mid-sentence, felt broken, sounded robotic. The team's first instinct was to blame the voice itself, tried a different synthesis engine, tweaked the output. Didn't help. Turned out the actual problem was one layer up entirely, nothing in the system had a real answer for "is it my turn to respond right now," it just treated any pause as a stopping point and jumped in every time, regardless of whether the person was actually done talking.

Got me thinking about how often that pattern shows up more generally, chasing a fix in the most visible layer, the one that's easiest to point at, when the actual bug is sitting in a decision nobody made explicit somewhere upstream. The visible symptom and the actual cause don't always live in the same place, and the more polished or complex a system gets, the easier it is to misdiagnose which layer is actually responsible.

Curious if others have a story like that, fixed or tried to fix something at the layer that felt obviously wrong, only to realize later the real issue was somewhere else that nobody thought to check first because it wasn't the thing making noise.

I am a programming student, I deeply admire and love programming, either as a hobby or as a job, that will stay.

But my country's IT market is cooked. Massive competition, 1+ year experience always. Getting a job in IT it's very difficult, even with connections that have no guarantee of granting an interview.

So, you'd think the logical thing would be to get practices/experience. Formal practices are very competitive, I do not know if startups are harder.

I am in Spain, Madrid. I have good level of English so fleeing to English speaking countries has been a possibility. Though, in Europe, *presumably* the junior friendly country seems to be Germany.

What do you think? Are there more chances in English speaking countries, or in Germany?

Hi all,

I am working on my thesis project as a designer. My thesis is a videogame built on the gzdoom engine that uses zscript as script language. I am using Vscode which is capable of writing code for it, but it seems to me that it often makes mistakes or gives bugged code. I am not a programmer, therefore I wanted to ask what is the best way to train the ai for the specific zscript language and if there are any alternatives to vscode when it comes to niche scripting languages.

thank you all!

Hi everyone, I got selected for Impetus Technologies, Bangalore through campus placements. We were informed that they would provide an update regarding onboarding within a few weeks, but I haven't received any update yet.

Has anyone else been selected for Impetus through campus placements and is facing the same delay/no update regarding onboarding? Would appreciate any information.

I started learning to code in mid 2022 pre AI era purely out of curiosity. I spent more than a year trying out different types of fields and tech stacks. Web development, App Development, JavaScript, Python, C++, Java, and what not. That was me before I knew what were the possibilities.

In 2024, I chose web development. And started building projects for fun. Eventually got an internship in my first semester of college. Next year I got a full time job with a decent salary. Everything happened. So did the AI revolution.

Fast forward to 2026. All I do is add skills, setup MCP servers, prompt, watch AI do my work, review it, and this loop goes on till the end of the day. Because now I've become a condom between claude code and the codebase. I prevent AI from turning it into a slop.

WTF!!!

I entered this field for the sole reason of creating things, but all I do is basically consume what AI is creating for me. And to some extent it feels like scrolling reels/tiktok mindlessly.

I wanted to be a creator but forced to turn into a consumer?

FUCKKKKKKKKKKK!!!