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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.

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?

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

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?