Pato
@devpato
Followers
6K
Following
28K
Media
1K
Statuses
20K
@GoogleDevExpert @Auth0Ambassador @Cloudinary @postman @WomenTechmakers @twilio @aws @MVPaward
New York, USA
Joined April 2018
Hi Twitter fam! I'm looking for my next remote (US) opportunity in tech for Senior/Staff/Lead roles in Software Engineering or Developer Advocacy. 10+ years of experience in the tech industry! Retweets welcome :) #opentowork #jobhunt #tech
2
9
8
Hi Twitter fam! I'm looking for my next remote (US) opportunity in tech for Senior/Staff/Lead roles in Software Engineering or Developer Advocacy. 10+ years of experience in the tech industry! Retweets welcome :) #opentowork #jobhunt #tech
2
9
8
Deep Dive Into Transformations With the @cloudinary MCP Server https://t.co/JerMtn63IW
#ai #mcp #code
cloudinary.com
Learn how to use the Cloudinary MCP server inside Cursor to automate image transformations and generate clean, ready-to-use URLs with AI-assisted workflows.
0
0
0
Hi fam! Just created a BlueSky account. Follow me there: https://t.co/uOiN4raoiT
0
0
1
Building a Fashion App Using Cloudinary’s GenAI in React and Node.js https://t.co/S39zSpZogr
#react #webdev @cloudinary
cloudinary.com
The FashionistaAI app uses Cloudinary’s GenAI technologies to create a personalized outfit. All you need to do is upload a picture and FashionistaAI will
0
0
2
@jamesqquick Check out our curriculum https://t.co/ocYM99cQpe especially chapter 3 that has many sub chapters
github.com
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed ...
0
1
4
A big problem is that a lot people think these tools are all you need “you don’t need an engineer, create an app end-to-end” and these tools are more like code assistants and can help perform the task of an engineer faster IMO. What are you thoughts?
0
0
0
Another problem is that the user is relying and trusting the code should always work and it follows the best practices and sometimes the do miss important aspect such as optimization, security, or even accessibility
1
0
0
Also, these tools lack example/description on external configuration. Let’s say you need to setup a Google cloud account and some cloud functions, goof luck with that if you aren’t technical
1
0
0
A regular “human/user” most likely won’t know technical terms such as optimization, database, cloud providers and all that and they are in a trap relaying on the AI tool to chose for for them which may lead to not giving the best solution for the type of project or company
1
0
1
If for whatever reason your code output is not as expected you will have to modify it manually and good luck with that if you don’t know how to code
1
0
0
A lot of the times the code generated is not even perfect, you have to be very granular sometimes on what you need and with these it comes a learning curve for prompt engineering
1
0
0
See, the majority of these tools from the get go when you tell them to build an app, the mainly generate frontend code
1
0
1
I have been doing research on a lot of AI code generators code assistants such as ChatGPT, base44, GitHub Copilot, Tabnine, Builder etc and I see why these tools are powerful but not as much as we think that they will replace engineers 100%
3
0
4