I just watched an AI agent take a Jira ticket, understand our codebase, and push a PR in minutes and

[Konebhar6]

2 minutes ago, Thokkalee said:

There will be models that hear you out and generate good prompts.. AI talking to AI.. that is already here.. 

prompt engineering has become old already.. adi 6 months back muchhata 

Nope. I have been working on some solutions and Prompt engineering is indeed necessary. You need to tell AI accurately without ambiguity what you want. If you give it too much it will try to get you results faster (traversing through its decision tree) and ignore your instructions. 
You will see when you start working with it. Try some generic things in chatGPT and start clubbing 2-3 requirements. 

[Thokkalee]

Just now, Konebhar6 said:

Nope. I have been working on some solutions and Prompt engineering is indeed necessary. You need to tell AI accurately without ambiguity what you want. If you give it too much it will try to get you results faster (traversing through its decision tree) and ignore your instructions. 
You will see when you start working with it. Try some generic things in chatGPT and start clubbing 2-3 requirements. 

It is necessary.. I am saying that soon that will also become a minimal thing.. 

for common tasks, these prompts are already baked in.. for custom tasks, you will have to create them.. but they will become fewer as you automate more and more 

[Konebhar6]

Grounding, Temperature settings are very important if you want realtime data (rather than the data itself trained on) or if you want AI to get or don’t get creative 

[Konebhar6]

Cost management is also very important. If you are not careful and run large data sets knowingly or unknowingly, results in cost shocks. 
Make sure you set cost limits in your administration. 
Also instruct everyone working to work on small dataset, test it out, make sure you get what you want and then run larger datasets.

[human1234]

How will AI impact non coding IT jobs like SAP, BI, other tools? Are they safe?

[DallasKarreBaluu]

6 hours ago, Konebhar6 said:

I can write basic python code. I can understand it. I have used chatGPT to write all code I want with all wrinkles and complex logic and it writes excellent. Not even a single mistake. 

nuvvu enduku anna fresher ni hire chesukunte money save avutundhi no to company

[DallasKarreBaluu]

1 hour ago, human1234 said:

How will AI impact non coding IT jobs like SAP, BI, other tools? Are they safe?

call center, IT jobs coding and non coding will be taken by AI

[Konebhar6]

29 minutes ago, DallasKarreBaluu said:

nuvvu enduku anna fresher ni hire chesukunte money save avutundhi no to company

I will become obsolete. I love programming and I was a good one. 

[Pandubabu]

11 hours ago, human1234 said:

I just watched an AI agent take a Jira ticket, understand our codebase, and push a PR in minutes and I’m genuinely scared

I’m a professional software engineer, and today something happened that honestly shook me. I watched an AI agent, part of an internally built tool our company is piloting, take in a small Jira ticket. It was the kind of task that would usually take me or a teammate about an hour. Mostly writing a SQL query and making a small change to some backend code.

The AI read through our codebase, figured out the context, wrote the query, updated the code, created a PR with a clear diff and a well-written description, and pushed it for review. All in just a few minutes.

This wasn’t boilerplate. It followed our naming conventions, made logical decisions, and even updated a test. One of our senior engineers reviewed the PR and said it looked solid and accurate. They would have done it the same way.

What really hit me is that this isn’t some future concept. This AI tool is being gradually rolled out across teams in our org as part of a pilot program. And it’s already producing results like this.

I’ve been following AI developments, but watching it do my job in my codebase made everything feel real in a way headlines never could. It was a ticket I would have knocked out before lunch, and now it’s being done faster and with less effort by a machine.

I’m not saying engineers will be out of jobs tomorrow. But if an AI can already handle these kinds of everyday tickets, we’re looking at serious changes in the near future. Maybe not in years, but in months.

Has anyone else experienced something similar? What are you doing to adapt? How are you thinking about the future of our field?

 

https://www.reddit.com/r/cscareerquestions/s/TX7b6Ai6D2

bokkem kadhu

[yogdenon]

I’ve seen similar setups where AI tools handle tasks across platforms, and it meshes even better when connected with stuff like https://acupowererp.com/products/jira-and-acumatica-cloud-erp. Makes syncing tickets with ERP data smoother without all the manual back-and-forth. We linked it to our workflow last month—super useful for matching issue tracking with financials and project updates. Definitely saved us time chasing down scattered info across tools.

[mettastar]

My observation, its good for making changes to existing packages.

[american_desi]

On 7/18/2025 at 9:37 PM, Teluguredu said:

I already told you ,in future they will integrate LLM's directly into project build.

Babu Teluguredu,, ఉరఫ్ Turakodu, నువ్వు ఇండియాలో ఒక manufacturing business లో పనిచేస్తున్నా అన్నావు. మీరు LLM కూడా వాడతారా?