Memory — ideas, processes and lessons gathered along the way
The users I was designing for wear gloves, stand in near-zero temperatures, and work in a corner of the airport most travelers never see. What they taught me about interfaces fits in one sentence: the room always wins.
Roughly 80% of the time that produces a good feature is spent before and around the code — understanding, specifying, prototyping, revising. Code is increasingly the cheap part. Some of mine is AI-generated. The spec never is.
My first agentic workflows were duct tape — call the model, parse, retry, add a flag, add another flag. LangGraph forced a different discipline on me: think in state, not in prompts. The model is the easy part.
Moving abroad is a search problem with terrible tooling. Scholarships live in scrapers' nightmares, deadlines hide in PDFs, and every program wants a slightly different version of you. So I built my own mission control.
I learned French the normal way first — an exchange semester at INSA Lyon, a DELF B2. Then I did the abnormal thing: I built my own tutor. Being its main user turned out to be a gift and a trap.
I danced competitively for two years, and I draw. This is not a footnote to my engineering — it's the reason for how I build. Notes on generative systems, embodiment, and what it means for software to move well.
The tech landscape (especially with AI) is changing incredibly fast, creating both anxiety and opportunity. Programmers need to adapt, and starting a side hustle is a proactive way to do that. Here are some specific, relevant avenues for 2025. .
These are the Linux commands I use every day as a fullstack developer and my best tips for learning them fast and efficiently.
I create a CV in react, These were my main takeaways
I decided to try my hand at building a side hustle on my own. This is a list of possible sources of income I have created based on my research and personal thoughts .
So here I was, regardless of a bunch of advice exalting the importance of planning and think before you act, I jumped right into coding. Bad Idea
Ok, so I have my project idea, what do I do next? Think about how you are going to judge it first.
Developing my own first ML project as a data science noob.
Have you ever been paralyzed to try something new? have you ever thought that you or your work are not enough to be shared? It is okay, we´ve all been there, but what if I tell you data could be the answer to fight against that feeling.
