u/New-Airport-2515

One thing I’ve observed is that there are usually two groups in the corporate world. One group is closer to the CEO/managers/leads, and they usually seem to be doing better in terms of growth and opportunities. The second group is more average and often complains about the first group.

What I’ve noticed is that people in the second group are often jealous of those who are close to management. They start calling them things like “CEO ka beta” or “uthaao.”

From your experience, what’s the better approach? Is it better to build strong relationships with leadership, or stay completely apolitical and neutral?

I have around 3 years of professional experience, and one thing I’ve observed is that there are usually two groups in the corporate world. One group is closer to the CEO/managers/leads, and they usually seem to be doing better in terms of growth and opportunities. The second group is more average and often complains about the first group.

What I’ve noticed is that people in the second group are often jealous of those who are close to management. They start calling them things like “CEO ka beta” or “uthaao.”

From your experience, what’s the better approach? Is it better to build strong relationships with leadership, or stay completely apolitical and neutral?

What’s happening in service-based companies? Clients are leaving like exes ; no closure, nothing.

I had a discussion with a friend, and he said the same thing is happening at their company too. One day the client just removed them from the repo, AWS, and other systems without much explanation.

Projects are not coming in, and even existing clients are leaving. I honestly don’t know what’s going on with service-based companies in Pakistan these days.

Lately I’ve been noticing that AI tools are making it incredibly easy to generate large amounts of code very quickly.

But I keep wondering about the long-term side of it maintainability, debugging, scalability, and overall code quality. Generating code is one thing, but maintaining production systems over time is a completely different challenge.

Do you think AI-generated code will increase technical debt in the industry, or will engineering practices evolve fast enough to handle it?