Product Owner

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How is the future of AI Automation Agency ?

Software Developer

How is the future of AI Automation Agency ?- Grapevine

If you are afraid of AI, you are not good at what you do

Senior Software Engineer

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What are your views on future of RPA technology

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Another AI agent designed to replace software engineer

How important it is to upgrade technical skills for a mid level engineers with 5-8 yoe keeping in mind the AI is on rise. 
3 options: 
1. It’s important to include AI in your skills.
2. No, it won’t impact that much and will fade with time.
3. Better to start slowly with AI and have secondary skills.

Future of Mid Level Engineers with AI in scope

Whay will be the future of software developers in India in the AI realm

- Researchers have developed an AI Scientist that can read literature, formulate hypotheses, and write papers.
- Created by Sakana AI and academic labs in Canada and the UK, it automates the full research cycle.
- AI Scientist can only conduct research in machine learning and lacks the ability to perform lab work.
- The system uses evolutionary computation to improve algorithms and conducts its own 'experiments'.
- While the results are incremental, the AI Scientist's code and results are fully open for analysis. 

 Source: [Nature](https://www.nature.com/articles/d41586-024-02842-3)

AI Scientist: The Future of Automated Research?

Journalist

Automation Testing jobs will be impacted by AI ???

Software Test - QA

I have seen LLM models getting better day by day and seem to replace a lot of tedious roles that interns would do. How will this change the job market over time? Should people start learning coding to stay relevant in today's times? How will this pan out in 10 years?

Will AI increase more unemployed?

Consultant

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It’s clear that companies won’t need engineers 10 years from now. 

They’ll just need people who know what to make. Who to sell to. How to sell to. At what price. 

This will be the great commoditization of Software development

Take it or leave it.

[Hot Take] AI will make SWEs redundant, PMs and Marketers will become the most important job

This is an L take for someone who works at Google
It is supremely obvious that SWEs are about to enter the golden era of Software Engineering. We are easily foreseeing 2x-2.5x improvement in developer productivity rate. You should go touch some grass or else you will end up becoming PM guru who shills substandard-courses to poor kids.

Product Manager

Product Marketing Manager

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Looks like Ai and automation are killing jobs in IT

With some much advancement of AI, what happens to IT Services as a business in say 15 years.

Future of IT Services

Business Analyst

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Future of enterprise tools like UiPath, Blueprism, AA, etc

Future of RPA growth in US/world market?

Lead Engineer

Is there any job in IT industry that cannot be taken over by AI in future?

Lead Consultant

A lot of noise around AI taking coding jobs, which i fear might be real. Like not completely but you get my point. So how should one upskill themselves (especially the average folks, top 1/2% will not be affected in any field imo) for the upcoming shift? Like will data analytics/science or maybe ai/ml engineering jobs be on rise ? Should be start upskilling in those fields or any other suggestions? I would really like to know it from someone who has good experience in the industry or someone with good insight. Thanks

Jobs which will be created /not impacted by AI

Software Engineer

Here's my rationale on all of it.

There’s a lot of buzz about “AI developers” in the tech world. Headlines shout that the days of human coders are numbered—a tantalizing, but dubious claim. 

Startups like Magic.dev are raising hefty sums to create "superhuman software engineers." Their mission? To outperform and possibly replace human coders. Then there's Cognition Labs' "Devin," which raised $21M and claims to be an AI capable of doing real software engineering. These companies are cashing in on fears and ambitions.

One narrative is that tools like Devin will soon replace entry-level developers. 

Devin’s current track record shows it solves about 13.86% of issues on GitHub unassisted. While that’s leagues better than previous models, remember, a competent junior developer would do much more.

We shouldn’t be fooled by flashy headlines or orchestrated media frenzies. Devin is, for now, an advanced coding assistant, not a replacement for the nuanced, context-rich work that seasoned engineers provide.

Consider the landscape. Microsoft’s GitHub Copilot has already dominated the coding assistant niche for over two years, with 1.3 million paying subscribers. Pricing at $20/month makes it a tough act to follow, especially given the computational costs tied to maintaining high-performance AI models. 

Companies like Sourcegraph and Replit are also deeply embedded with their respective AI tools, Cody and Replit AI. The remaining space is limited, pushing new startups to make audacious claims to carve out a territory.

The startup game is about getting noticed. Cognition AI achieved near viral attention, taking a page from ChatGPT’s playbook. Their video showcases are strategic, designed to create buzz. But strong media presence doesn’t guarantee a product that delivers on lofty promises.

The seductive idea that advances in software will eliminate the need for human engineers isn't new.

In 1959, COBOL aimed to empower business people to write their own programs. Instead of reducing the need for developers, it created a demand for COBOL specialists. The cycle repeats. Each new tool or language claims to reduce the need for knowledge workers, but instead, it shifts the nature of the work, often requiring even more specialized skills.

AI, especially large language models, remains highly effective within certain constraints. They can automate routine tasks and provide coding assistance, but they are fundamentally "probability machines," making educated guesses. Hallucinations, errors, and a lack of deep contextual understanding limit their utility.

Five years from now, developer tools will undoubtedly be more powerful. But the idea that AI will fully replace human engineers is a perpetual myth. Instead, AI will continue to serve as an extension of human capability—better, smarter tools, but not standalone replacements.

In our era, it’s crucial to discern between hype and reality. Don’t get blinded by flashy demos and bold claims. Look for sustainable, incremental improvements that make you a more efficient, capable engineer.

The inspiration for this post is...
https://blog.pragmaticengineer.com/ai-developer-marketing-stunt/

Is the “AI Developer” a Genuine Threat to Jobs?

Program Manager

It's basically an AI software engineer that can solve GitHub issues end-to-end.

My prediction about AI agents being capable of doing most white-collar jobs by 2025 is on track.

Software engineers been real quiet since Devin AI dropped

I feel at the pace AI is advancing, most of us will be unemployed. The uncertainty is making me anxious, any help appreciated :)

Anyone else feeling scared of AI induced unemployment ?

Recently there has been a huge drama at OpenAI. But rather than AGI, even a targeted model that has been trained on decades of experience of a firm can do a lot of things. With possible future advancements in quest for AGI, what do you think will change in your role?

How do you see AI impacting your work?

Design Verification

Hey folks, 

As a lot of news and post are popping out nowadays, threatening job to be replaced by AI.

So ,can you guys please suggest whether we should be learning AI or some other tools than traditional programming...e.g Salesforce, Servicenow,SAP etc.

How is the future of AI Automation Agency ?

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