Francisco M Lasaca

👨‍💻 PhD student 🔎 boxes and arrows (Model-Driven Engineering) 💬 you can call me Paco 🎓 @UAM_Madrid @ITUkbh @la_upc 🇵🇸

[Francisco M Lasaca @fmlasaca]

What happens if you combine #MDE, #lowcode platforms, and #LLMs?

Next week I'll present 🤖#LowcoBot, a code generator of chatbots for low-code platforms (w/ @UgroundGlobal @__sapristi @miso_uam) at #STAF2024 @STAFconferences.

👉 Preprint: https://t.co/icO1yYIOO9

[Francisco M Lasaca @fmlasaca]

@IngenieroSeed ¿Cómo contribuye que alguien con alta capacidades no se dedique a la ciencia a que el resto de personas vivan mejor? Tocino y velocidad.

[Tasia Aránguez @AranguezTasia]

Esta joven celebra que ha logrado terminar estudios del nuevo Grado universitario en IA, en la primera promoción. Un montón de hombres envidiosos le dicen que no es ingeniera, inventan que en esa carrera no se estudian matemáticas, la llaman “tonta” y “puta”. A este machismo se enfrentan muchas mujeres en STEM.

[Trades Union Congress @The_TUC]

A Dutch worker went viral after explaining to their American boss that they have a life outside of work.

[Merriam-Webster @MerriamWebster]

We are thrilled to announce that our NEW Large Language Model will be released on 11.18.25.

[Francisco M Lasaca @fmlasaca]

Imagine being so cynical out of greed...

[Guillermo Rauch @rauchg]

🇺🇸 🇮🇱 🇦🇷

Enjoyed my discussion with PM Netanyahu on how AI education and literacy will keep our free societies ahead.

We spoke about AI empowering everyone to build software and the importance of ensuring it serves quality and progress.

Optimistic for peace, safety, and greatness for Israel and its neighbors.

[Francisco M Lasaca @fmlasaca]

The paper includes two case studies: one comparing Dandelion+ with existing low-code platforms, and another assessing its impact in a real-world industrial setting.

Get in touch if interested!

[Francisco M Lasaca @fmlasaca]

Low-code platforms shouldn't be *that* constrained: workflows and MDE to the rescue!

📝“A model and workflow-driven approach for engineering domain-specific low-code platforms and applications” with P. Díez, @__sapristi, @miso_uam at @sosym_journal

👉https://t.co/RuwLaHob4X

[Francisco M Lasaca @fmlasaca]

On the *behavioral* side, you define applications with "PlatFlow", a dedicated visual workflow language for:

• model operations
• calling APIs
• generating code
• visual graphics
• processing forms
• ...

[Andrew Ng @AndrewYNg]

Some people today are discouraging others from learning programming on the grounds AI will automate it. This advice will be seen as some of the worst career advice ever given. I disagree with the Turing Award and Nobel prize winner who wrote, “It is far more likely that the programming occupation will become extinct [...] than that it will become all-powerful. More and more, computers will program themselves.”​ Statements discouraging people from learning to code are harmful!

In the 1960s, when programming moved from punchcards (where a programmer had to laboriously make holes in physical cards to write code character by character) to keyboards with terminals, programming became easier. And that made it a better time than before to begin programming. Yet it was in this era that Nobel laureate Herb Simon wrote the words quoted in the first paragraph. Today’s arguments not to learn to code continue to echo his comment.

As coding becomes easier, more people should code, not fewer!

Over the past few decades, as programming has moved from assembly language to higher-level languages like C, from desktop to cloud, from raw text editors to IDEs to AI assisted coding where sometimes one barely even looks at the generated code (which some coders recently started to call vibe coding), it is getting easier with each step.

I wrote previously that I see tech-savvy people coordinating AI tools to move toward being 10x professionals — individuals who have 10 times the impact of the average person in their field. I am increasingly convinced that the best way for many people to accomplish this is not to be just consumers of AI applications, but to learn enough coding to use AI-assisted coding tools effectively.

One question I’m asked most often is what someone should do who is worried about job displacement by AI. My answer is: Learn about AI and take control of it, because one of the most important skills in the future will be the ability to tell a computer exactly what you want, so it can do that for you. Coding (or getting AI to code for you) is a great way to do that.

When I was working on the course Generative AI for Everyone and needed to generate AI artwork for the background images, I worked with a collaborator who had studied art history and knew the language of art. He prompted Midjourney with terminology based on the historical style, palette, artist inspiration and so on — using the language of art — to get the result he wanted. I didn’t know this language, and my paltry attempts at prompting could not deliver as effective a result.

Similarly, scientists, analysts, marketers, recruiters, and people of a wide range of professions who understand the language of software through their knowledge of coding can tell an LLM or an AI-enabled IDE what they want much more precisely, and get much better results. As these tools are continuing to make coding easier, this is the best time yet to learn to code, to learn the language of software, and learn to make computers do exactly what you want them to do.

[Original text: https://t.co/HdI3Jb9HmF ]

[Eggroll🏯🇬🇧 @EggrollShogun]

Clearly a photo-op, no true Scandinavian would feed a guest in their home

[Vince Vatter @VinceVatter]

Contrapositives are for cowards. Behold.

[Alex Danilowicz @alexdanilowicz]

prompt engineering in a nutshell

[Francisco M Lasaca @fmlasaca]

@Carlozzito Lo estás haciendo?