How to Install DevOpsGPT Locally - Fully Autonomous Ai Agents Creating POWERFUL Software!
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- ΠΠΏΡΠ±Π»ΠΈΠΊΠΎΠ²Π°Π½ΠΎ: 11 ΡΠ΅Π½ 2024
- Welcome to the AI-Driven Software Development Automation Solution, also known as DevOpsGPT! Our groundbreaking innovation fuses the power of the Large Language Model (LLM) with cutting-edge DevOps tools, ushering in a new era of software development efficiency and excellence.
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[Links Used]:
DevOpsGPT Detailed Video: β’ DevOpsGPT: Autonomous ...
Github Repo: github.com/kua....
DevOps Website: www.kuafuai.net/
Git Download: git-scm.com/do...
Python Download: www.python.org...
Visual Studio Code Download: code.visualstu...
OpenAi API Key: platform.opena...
In the realm of DevOpsGPT, the fusion of LLM and DevOps tools bridges the gap between natural language requirements and functional software, eliminating the need for laborious requirement documentation and extensive explanations. Experience the swift transformation of your requirements into tangible software through direct interactions with DevOpsGPT.
[Key Features]:
π Improved Development Efficiency: Bid farewell to tiresome requirement document creation and explanations. With DevOpsGPT, users enjoy seamless conversions of requirements into functional software, saving time and resources.
β° Shortened Development Cycles: Our automated software development process drastically reduces delivery timelines, expediting software deployment and iterations.
π¬ Reduced Communication Costs: DevOpsGPT's precise comprehension of user requirements slashes the risk of miscommunications, amplifying collaboration between development and business teams.
Are you ready to revolutionize your software development journey? Join the DevOpsGPT revolution by liking, subscribing, and sharing this video with your peers. Your support empowers us to continue transforming the software landscape!
Additional Tags and Keywords: AI-Driven Software Development, DevOpsGPT, Software Automation, LLM, DevOps Tools, Efficient Development, Natural Language Requirements, Code Generation, Collaboration Efficiency, AI Analysis, Private Deployment, Software Deployment.
Hashtags: #DevOpsGPT #SoftwareDevelopment #AIInnovation #EfficientCoding #CollaborativeDevOps #LLMTechnology #AutomationRevolution
Connect with us on [link here] for more industry insights and updates. Your journey towards streamlined, AI-driven software development starts now!
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WHYYYYY the OpenAI API key? Developers have to start thinking about alternatives instead filling the pockets of corporations with open-source software...
You can modify the code in order to use something else
@@letslearn3513 It would be nice for that to be explained. Im sure its not too tricky to figure out but is one of those things devs just expect you to know how to do lol
β@marcellc6833 bro, you are do correct. Devs need regular people around them to give them suggestions or something. That's the whole problem with open source too.
Because NOBODY is wanting to make THINGS BETTER all 99% of people here wanna make money !
the cool thing is swapping out the llm layer is pretty simple. good written code is easy to extend and modify. iβm looking at the repo and it looks like a day and pack of redbull of work
At this point, any project that uses OpenAI API key is a trun off! We need open source first builds.
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Is the Azure Open AI api key token required? Trying to figure out which all api keys I need to add. I added GPT Token but that doesn't seem to be enough.
Man, man π€―π€―π€―π€―π€―π€―π€―
Would there be a way to use LMstudio to make it fully local?
Very interesting thanks for making this video
So nice of you! Thanks a lot
Wonderful thanks
I cant use it, it ask me to login/register to DevOpsGPT, but also return tenant error
can it be done using lm studio as the API?
to the devs:
please add support for Stability AI stable code LLM
That would be amazing!
Interesting, how would you compare this with GPTEngineer?
Both are quite interesting in their own ways. The main distinction between the two projects lies in their approaches to AI-driven software development. DevOpsGPT, focuses more on creating a multi-agent system that seamlessly translates NL requirements into functional software code. This system accommodates various programming languages and extends the existing codebase. On the other hand, the GPTEngineer, operates by allowing users to specify what they want the AI to build. The AI then seeks clarification as needed before proceeding to construct the desired software solution. I prefer GPT-Engineer in many cases but I still would DevOpsGPT as well.
im too stupid i cant get it to work
can you share the game source ? thanks for sharing
So sorry I kind deleted the files already :( However, basically let the system know the same prompt I gave it to generate. You can also source the PNG (S/L game backdrop) off google.