Gemini CLI ------ WOW!!!!

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A powerful new tool has arrived for developers, and it is currently free to use.

The Gemini Command Line Interface (CLI) has proven instantly superior in handling complex debugging challenges. I had a stubborn code issue that resisted every major AI—from ChatGPT and Grok to my Sonnet-powered VS Code IDE. The Gemini CLI, however, analyzed my entire project and, in mere minutes, delivered a perfect, functional solution right in my terminal.

Released on Wednesday, June 25th, this AI agent makes coding a genuine pleasure. Its capabilities include autonomously checking a whole project, identifying deep-seated errors, rewriting code, and creating new scripts as needed. This level of seamless, context-aware assistance has brought back the "wow" factor I first felt when beginning to use ChatGPT. This tool is a serious upgrade to the developer workflow.
 
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Just be careful. I've seen a few reviews that suggest that Gemini (overall) is not perfect because of what it forgets or omits.
Not a bad summary of me actually.
 
At this point, I think complaints about imperfect results from AI LLMs fall into the same category as complaints about imperfect advice from other humans.

Yup, mistakes can happen. Do your own due diligence. Trust but verify. All those cliches apply.

In other words, perhaps we've read too many science fiction novels and seen too many movies about robots and AI machines. Perhaps we need to understand that people created these tools to provide assistance, not to replace good judgement.

If they can help us get to a positive outcome faster, great. If it takes more than one iteration to get there, so be it.
 
I asked Chat:
When will you become sentient?

Chat:
That's one of the biggest questions in AI — and the honest answer is: not anytime soon, and maybe never.

...
...

Final Thought:​

I’m smart in a narrow, artificial way — but I’m not alive. If I ever became sentient, you'd probably notice… because I’d stop answering questions and start asking why I'm stuck in this chat window. 😄
 
I see those errors in Gemini based on the principle "It takes one to know one."
Exactly correct Doc!

Reliably comes up with brilliant solutions but sometimes forgets, or omits.
That's me:)
 
That's why I can answer many of the questions asked here off the top of my head. Been there made that same stupid mistake.

Pat, that is the exact definition of "experienced" - it means "recognize a mistake when you make it again."
 
The article didn't show some things that were nonetheless titled within itself - like a comparison table.

The individual AI entries looked pretty comprehensive for what was being done, so it looks like someone did a lot of work
 
These CLI tools turn you into a QA guy, a tester of some sort. It helps tremendously, but that comes with the cost of potentially not knowing what the hell is going on. It might work, but then again, it might do stuff you don't even know it's doing. Then again, you could ask it to do things a certain way, until you stop caring. It's too early to make conclusions, but I kinda liked it when these tools had a substantial paywall. On the other hand, it's good that it's open source, because you're basically granting it permission to do whatever it wants on your computer via powershell.
 
At this point, I think complaints about imperfect results from AI LLMs fall into the same category as complaints about imperfect advice from other humans.

Yup, mistakes can happen. Do your own due diligence. Trust but verify. All those cliches apply.

In other words, perhaps we've read too many science fiction novels and seen too many movies about robots and AI machines. Perhaps we need to understand that people created these tools to provide assistance, not to replace good judgement.

If they can help us get to a positive outcome faster, great. If it takes more than one iteration to get there, so be it.
With AI in general, there will be an initial "wave" - a massive, overwhelming wave of people "using AI for everything and its brother".
We are at the very beginning of that, I think.
Then there will be a regression, a pulling back from that point, because of one too many accidents/errors/catastrophes/security breaches that happened because not enough SME humans were supervising and judging. At that point, some of the coding jobs will come back. IF not many of them.
 
You are right to be cautious Richard, it has led me on a merry dance more than once!

It built me a lovely perfect app, but I cannot add new functionality to the app every time I try it crashes something...

Fixing these issues seem to be beyond the scope of these large language models, I've tried at least three!

I've reverted to an earlier version, a simpler version, and I am governing the introduction of new features to make sure that they are implemented in the correct way...

What do you call it when you spend months on a project end up no further along than when you started and you are completely disillusioned with it?
Burnout
 
Chatty thinks I'm a genius,
I've noticed this as a flaw, IMO, in the system. Chat GPT always wants to "butter me up", i.e., say nice things about me. No matter what theory I throw at it and say "what do you think of this?" its response is something along the lines of "Genius, and here's why: 1) 2) 3) "

Now often I actually am a genius, so I don't blame it, but sometimes I give it a bad idea just to test it and it sorta tells me it's a great idea...
 

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