I'm struggling to understand how to best use AI in development.

If i allow AI to do most of the typing while I think, my skills for writing the syntax would eventually get rusty. And I can't completely avoid using it either as a lot of companies are expecting the developers to use AI and ship much faster than before.

So, what's the best middle ground for this?

building a tool that helps insurance agents auto-fill the

same customer data across multiple insurer portals. The useful part —

catching a wrong DOB or mismatched field before submission — seems to

need the AI comparing real entered values against source data, not

just matching field structure/labels.

I can avoid sending real PII to a third-party LLM API for the

"which field is which" part (just send anonymized structure, map it

back to real values in my own code afterward). But the verification/

mismatch-catching step seems to need the actual values to compare.

For anyone who's built something touching sensitive customer data

(fintech, insurtech, healthtech) under DPDP:

- Did you end up needing a local/on-prem model for the sensitive

steps, or found another way to keep using a cloud API compliantly?

- Is purpose-specific consent from the end customer (not just the

agent) enough to cover this, or does it get more complicated with

intermediary/agent-collected data?

- Any DPDP-specific gotchas that aren't obvious from just reading

the Act/Rules?

Not looking for "consult a lawyer" as the only answer (I know that's

coming eventually) — looking for what people who've actually shipped

something in this space ran into in practice.

So I'm not a full blown developer but I know html css javascript and study webpage html at times and I'd always liked seeing the creativety of different front end developers and how they'd manage or comment in their code. I feel like reading the comments now - it's pretty clear its mostly AI and I miss the weird human comments in a way

Sometimes I think AI has removed the joy from programming. Time was when making a TODO application felt like real work (as beginners). Now there's no feeling of achievement after completing projects. For example I'm working on a PID controller for my custom drone firmware. I programmed like 13 C files and I used AI to review it & it started over engineering & hallucinating only to result in an over engineered unreliable non working product. So I tried my own code & it worked without modifications. Has anyone experienced this as well?

Hi! 👋

I'm Brandon Martinez C., I'm from Mexico and I'm 22 years old.

This is my first post here, and I'm honestly going through a pretty stressful moment with myself right now...

I've reached a point where I feel overwhelmed by everything that comes with being a developer these days.

I recently graduated as a Software Development and Management Engineer, and I've realized it just keeps getting harder to get ahead when there's a thousand people around you who are way better and more skilled than you... you just end up feeling like nothing next to everyone else.

And even though I'm only 22, still young, and technically have plenty of time to become whatever I set my mind to, the truth is I feel kinda lost in all this.

I wanted to be a Front-end developer and UX/UI designer, with a real interest in studying and specializing in 3D models using WebGL.

But I see that front-end is probably going to die out sooner or later, and I'll end up useless... and that thought honestly made me feel pretty bad. Cause even though I love Front-end, I don't think it's going to give me the kind of life I want. And I know I'm good — not the best by any means — but I know I can accomplish big things. Maybe I won't make millions, but I do want a good life for myself.

I wanted to share this because I know someone else out there is going through the exact same thing, whether you're Junior or Senior — most of us have been through this or are going through it right now. And I know that you and I can achieve a lot more, we just have to give a little more of ourselves.

I'm sharing this because honestly I needed to talk and let it all out... If you're going through something similar, I'd love for you to share how you're feeling — I promise I'll read every single reply and check in on how you're all doing. And if you've already been through this, maybe you have a tip or a recommendation that could help me keep going and build a good future for myself, my mom, and my family. I'm currently looking for work, projects, and collaborations that could help me go far... and if you're interested in working together or just chatting, I'd genuinely appreciate it from the bottom of my heart.

Have a good day or night, and always be happy! ❤️

Internet visibility is what every developer should care about the most. And creating an account on LinkedIn and Sefadev is what saves the most

I just started as a tech lead with a small SaaS company. Things have been a bit messy so far... challenging but nothing I can't handle.

Today, I learned that the MD has vibe coded a major systems integration on his own. It's part of the customer-facing solution, not an internal thing. He has no technical background whatsoever, and he never mentioned this with a word or asked for advice. He sees no problem in this at all, and he insists that we deploy it to production.

I'm still in my probation period, and my gut tells me to quit first thing in the morning and get out of there ASAP.

What would you do in my situation?

Hey guys, I run a platform with a network of people who get paid for completing missions/tasks.

We currently use Stripe Connect for payouts, which works well in the US, but we’re running into problems paying agents in India.

I’m not looking for a checkout/payment processor for customers. I specifically need something that can handle platform → worker payouts, ideally through an API, with KYC/compliance handled properly.

thanks for the help

I've been lost in life for a long time and now I finally figured out what I like to do: I want to be an autonomous developer.

I believe the easiest way to start this path is to do freelance jobs, so I already created accounts is many freelance websites. But I wonder how else I could find people that need software.

You probably know this, but getting jobs in freelance websites is just a pain right now. It has always been, but right now it's worse. So, any professional freelancer / autonomous dev here would give me tips? I would appreciate it so much.

Thank you for the attention.

Before starting this I am not technical expert so don't judge my opinions harshly

Hii everyone have you seen so many Good macOS apps everybody launch first for Mac from a solo developer to a tech giant or a startups. Because Mac development stack is too good see the detailing in even their icons,UI and how impressive it looks

From a dev perspective it's hard to made first for Mac, then for windows switching between programming languages it's a quiet Good time for Apple through a partnership they open source more proprietary developement related stuffs

So it becomes easier to everyone I know Apple get disadvantage but see if not now then when it's already a lot long to earning from the software stack they build it's time to donate for community.

I am talking about swiftUI, Xcode and icon composer etc.

Apple can still doesn't loose much the reason is they have a lot of service related software stack from they earn a lot of money. Hardware business and much much more

Why people's are against to this I don't know but I feel make it's easy if it is possible don't play a so called business game just to making costumers buy your product it's like forcing your product to them because of just you build something good now earn whatever so amount you want that's not a business I suppose to appreciate a business build around giving to a community after earning the money that you want otherwise a never ending desire never ends until someone breaks it and then it's heart a lot

Hi guys i dono where to start or even how to start but i can tell that i want to start .I have completed my degree in Artificial intelligence and data science but turning back i thought i have done something but really i haven't,or i haven't done anything that matters or remember.If i want to start from scratch how should I??

-->Should i focus on JAVA, DSA ,LLD, SOLID Principles like that .....
-->OR Since i'm an AI Student i should focus on ML,AI,DL ,LLM like that if yes how should i start or how should i practice
-->and JAVA (OR) Python???
-->i dont wanted to keep jumping between technologies and restart every few weeks

Brothers i'm asking a favour i don't know where to start or how to start but i can say that i want to start i have completed my degree in AI&DS but turning back i thought i have done things but really i haven't done anything that actually matters or remembered i have started over from scratch every single time and the main doubts is JAVA or Python after some times i have realised language doesn't matter but logics but i'm a AI student if i want to built stuffs i want python but for DSA and stuffs i want java.thats my first doubt and the other is AI things like ML,DL,LLM kind of thing or for SDE or SWE i want like java with LLD,HLD,SOLID i don't know what to do can you pleas help me with something you know.

I keep getting confused about where I should restart.

Should I:

Pick Java and properly learn programming + OOP?

Pick Python because of my AI & DS background?

Focus on DSA first?

Learn SQL and backend development?

Learn AI/ML directly because of my degree?

Start learning LLD/HLD, SOLID, system design, etc.?

I don't want to keep jumping between technologies and restarting every few weeks.

If you were in my position, with a degree but weak practical knowledge, what exact path would you follow for the next 6–12 months to become employable as a software developer?

I'm not looking for a learn everything roadmap. I want to know what to learn first, what to postpone, and what I should actually build/practice along the way.

Would you recommend becoming strong in general software development first and then moving into AI/ML, or should an AI & DS graduate specialize in AI from the beginning? Why?

My app is almost finished now I’m waiting for the DSA.

​

Lately, I’ve been thinking about how AI is changing my day-to-day work as a senior engineer.

On paper, AI is supposed to make development faster. And yes, it can generate code quickly, especially when working with an unfamiliar or large codebase. But in practice, I feel like I’m spending less time actually writing and designing software, and more time doing grunt work around AI-generated code.

My workflow increasingly looks like this:

- Figure out what needs to be done

- Explain the requirements to AI

- Review the generated code

- Fix the parts AI misunderstood

- Review it again

- Test edge cases manually

- Verify integrations

- Deal with production issues if something was missed

- Then become even more cautious with the next AI-generated change

The biggest issue is trust. After fixing so many bugs or production issues, I simply can't trust it. As a senior engineer, the responsibility is still mine if something goes wrong.

So instead of AI completely reducing my workload, it sometimes feels like my job has shifted from writing code to constantly reviewing, validating, testing, and correcting code generated by AI.

Ironically, I feel like I'm doing more testing and verification than actual development now.

Is anyone else experiencing this?

Do you think this is just the current phase of AI-assisted development, where we still need heavy human validation? Or is the future role of a senior engineer increasingly becoming someone who manages AI-generated code and acts as the final quality gate?

Curious how other experienced developers are handling this.

Hi guys, I’m an MCA graduate and I’ve been trying to get into a developer role for the past 2 years. I’m honestly very confused and worried about what I should do right now.

Last month, I attended an interview for a company. They initially told me the work was related to SQL, so I thought okay, I’ll give it a try. During the interview, they asked me questions on Java and SQL, and I got selected. They told me my joining date would be September 1st.

The problem is, I still haven’t received any offer/appointment letter.

During the interview, they did mention that the role was related to ETL, but I thought I could manage it and maybe eventually move into development.

I joined yesterday, and today they told me that I need to go to Mumbai for 2–3 months of training. I also found out that the actual work is more like an ETL support job, using an IBM tool.

The salary they verbally told me is around ₹25k/month.

I’m also worried because yesterday I filled Form F and other PF-related details. I already have a UAN, because I previously worked for around 6 months after my UG.

At the same time, I have another opportunity for a WordPress developer role, but the salary is only ₹12k/month. They are asking me to join in 2 days.

Now I’m really confused about what to do.

My main goal is to become a software developer, either frontend or backend. I’m not specifically fixed on Java, but I want to build an actual development career.

So should I:

1. Stay in this ₹25k ETL support job and see where it takes me?

2. Take the ₹12k WordPress developer job because it gives me actual development experience?

3. Reject both and continue looking for Java/backend/frontend developer opportunities?

I’m especially worried about leaving the current company after only 2 days, and whether the PF/Form F/UAN stuff will cause any problem.

What would you guys do in my situation? Is ETL support a good long-term career with strong earning potential, or should I take the pay cut and get into development now?

Any advice from people who have worked in ETL, WordPress, or software development would really help.

I am not able to deploy new apps on amazon play because it is asking me for GST/company identification number but I am just an individual.

I only have deployed old apps and they generate money so I don’t want to ignore the store at all.

Is there any workaround for that?

Is there anyone deploying apps on the amazon app store?

I'm trying to understand how freelance developers handle the work they've built over time.

After completing a software project for a client, what usually happens to the product/code afterwards?

For example:

Do clients usually own the complete intellectual property?

Are you allowed to reuse parts of the code for future projects?

Have you ever built something independently and tried to sell it to multiple clients?

Do you have old products/tools that could potentially be reused but are currently sitting unused?

I'm particularly interested in hearing real experiences from freelance developers rather than theoretical answers.

Not promoting anything — just doing some research and trying to understand this space.

AI coding has made writing code much faster, but I'm curious about the debugging side.

If you're using Cursor, Claude Code, Codex, Copilot, Lovable, Bolt, Replit, etc. to build applications:

What happens when the AI-generated code breaks?

I'm particularly interested in cases where:

the error message doesn't clearly reveal the root cause

the bug is somewhere else from where the error appears

the AI keeps suggesting fixes that don't actually solve it

debugging requires understanding a large amount of code you didn't write

fixing one issue creates another issue

What tools/workflows are you currently using for this?

And if you could have an AI debugging agent that takes a bug/error + your codebase, investigates the root cause, explains the problem, and suggests or implements the fix:

What would you need it to do before you would actually trust it?

I'm trying to understand where current AI coding tools fall short when it comes to debugging.

When I started my bachelor's degree in AI/ML back in 2021, ChatGPT wasn't even a thing yet, and terms like LangChain didn't exist. It felt like an exciting, foundational path to take. I went straight through from that into a master's degree in Applied AI, thinking I was building a solid future.
But trying to break in as a fresher right now, the burnout is hitting me so hard. Over the course of my studies, it became an exhausting game of musical chairs. You spend months mastering one stack or framework, and before you even graduate, the goalposts shift entirely. One minute it's standard ML pipelines, then it's MLOps, then RAG, and now it's agentic workflows and whatever new buzzword dropped this week.
To top it all off, you open YouTube or LinkedIn and it’s just full of tech influencers and content creators deliberately manufacturing panic. They push this endless narrative that if you don't collect a dozen AWS certifications or buy their $500 masterclass on whatever framework launched yesterday, you're unemployable. It feels less like engineering and more like a predatory marketing machine where you have to constantly chase temporary trends just to stay relevant.
The endless hype cycle is exhausting, and I'm just tired.
Is anyone else who started their studies back in 2021 feeling completely disillusioned by how this industry mutated? How are you dealing with the pressure and tuning out the noise as a fresher?

Every “top speech-to-text APIs for developers” list becomes useless when it mixes totally different jobs.

Batch transcription is not realtime transcription.

Voice agent STT is not meeting notes. Browser voice input is not call-center QA.

Self-hosted private ASR is not the same decision as a hosted API for live calls.

Before naming vendors, I’d split it like:

batch files
realtime apps
voice agents
meetings
call renters
browser voice input
self-hosted / private
support or sales calls

Then compare inside the bucket.

For batch, I care about long audio, formatting, cost.

For realtime, I care about WebSocket behavior, partial/final events, latency, reconnects, timestamps, debugging. This is where Smallest AI Pulse fits the developer evaluation better than generic “upload audio and wait” tools.

For meetings, diarization matters.

For call centers, redaction and noisy phone audio matter.

For browser apps, auth and backend streaming matter.

That is a very different API decision.

What should actually be in a developer STT API shortlist in 2026?

And what category do people keep mixing up? 

Any time I try to use code writen by AI I have huge regrets. It Takes longer to debug it then it would have taken to write it all from scratch.

good morining ,guys can you please suggest me a project to put on resume . i mainly work with Mern or pern stack and dont know. python i am willing to learn python and fast api ,suggestions are welcome . No good project ideas then please mention some good repos where i can clone and put it on my resume by understanding it. Also please share if it is a good idea .

Hello I'm trying to make cs2 item market similar to csfloat. I've tried csfloat open source code and still struggling to implement reliable buy/ sell service. Is there anyone who can help?