Tomas Carrillo

The medium is the code.

@mjovanc Yes, similar to COBOL and many others.

@nalinrajput23 It depends on Antivirus + Scanning Tools.

How much RAM is enough for Web Dev? • 8 GB • 16 GB • 32 GB • 64 GB • 128 GB +

@Tech_girlll VSC + GiHub Copilot, great tools for great works.

Which IDE do you use?

@AngieMatiz6 Depende, ambas opciones son extremas, y se deben evitar ambas. Si no tienen otro tipo de deuda técnica, en mi limitada experiencia es mejor que una funcionalidad sea implementada por una función larguísima a miles de funciones pequeñas por tema de gobierno y trazabilidad.

@techgirl1908 I’ll want to follow more ppl using AI too, and now take a pause to share what I found from my experience.

i'm looking to follow more engineers who are regularly using/exploring AI and MCP. Who should I follow?

@Grady_Booch Who are a no real software engineer? Despite all the words they used on that twit, they’re just saying “we need help”.

@TotherAlistair People and interactions are the most important, but it’s prefer to talk about tools, gen ai, methods, frameworks.

glad to see that at least one of the LLM bots has me correctly pegged :)

@MapleStory “Bots”.

What's your favorite 🍁MapleStory monster?

@svpino As any Tech hype.

Is it just me, or is the AI hype crashing down faster than Boeing airplanes?

@dparedesi @charlieredz El programa “Reactiva Perú”, económicamente hablando no fue pensado en los empresarios.

@charlieredz Similar con todos los empresarios que se vieron beneficiados por las inyecciones salvavidas a empresas durante Covid. El ser o no agradecido viene de otro lado

Nunca he visto a un director de cine peruano que recibe subsidios del estado agradecer al estado peruano. Para ellos es un derecho hacer películas para 4 gatos. Mientras tanto anemia al 40%!

@Grady_Booch Hallucinations are a feature on LLM, no a bug.

@TotherAlistair @ruizc86 I can help on Spanish Version :D

@ruizc86 Yes in Amazon Spanish sometime in the future for sure

@codigobackend A que te refieres con “código bien documentado”? Podrías por favor brindar un ejemplo.

¿Código bien documentado o código bien hecho que se entiende fácil?

@alexbunardzic We can switch to coding on production.

Here's an idea -- people are complaining how Pull Requests are creating unpredictable wait times & are impacting value stream delivery, so why don't we switch to pre-approved Pull Requests? That way, no wait times, no begging team members to review our PRs. Cut the charade!

@Grady_Booch What have you found good use cases por Gen AI?

@alejandrozepe Videojuegos.

¿cuál ha sido la forma más fácil en la que han hecho dinero en internet? hablando de productos/servicios digitales, no estafas jaja

@Grady_Booch @rogerhamilton @elonmusk @Tesla @TuringTrust Imagine all C-level by AI from resurrected and alive genius. I’m pretty sure what will happen.

Genius Group welcomes new Chief AI Officer, Alan Turing - resurrected after 70 years. I believe $GNS is the 1st US public listed company to appoint an #AI to its C-Suite (Although @elonmusk at @Tesla may be part-AI already). Will all companies have AIs on their Board & Exec teams in the coming years? Alan's first white paper "Preparing for a Post Turing Test World" is a mindblowing read with his new 'Super Turing Test' for AGI. You can read it and chat to Alan AI here: geniusteam.ai/alan/ and @AlanTuring_AI #AI #AIRevolution #GeniusGroup #AlanTuring #MagnificentSeven $TSLA $META $NVDA $MSFT $AAPL $GOOGL $AMZN

@davefarley77 Any misused tool is broken.

This week's video is in response to some online criticism around TDD. TDD ain't broke. Tomorrow 7pm (UK).

@housecor We know pro & cons from each option, we need to choose the best one for our specific problem.

“Duplicated code is often better than wrong abstraction.” “Excessive copy/paste bloats the code, hurts consistency, slows reading, increases bug risks, and makes it harder to scale.” Both are true. So, avoid copy/paste. But also avoid premature abstractions. It’s a balance.

@housecor Bad design can be done on fullstacks and backend/frontend. You just need to see the root.

Sometimes the divide between the backend and frontend leads to massive waste. Example: I'm looking at a web page that displays 6 numbers. Sounds simple. But, here's how it gets the 6 numbers: It requests an array of 1.2MB (75,000+ lines!) of JSON. 🤯The client iterates over this giant array to generate 6 numbers. Why? Because these 6 numbers are totals, and there's no endpoint that provides the totals. So the UI developer is fetching 1,000's of rows...to display 6 numbers. 🤮 The solution is simple: Create an endpoint that creates the totals on the server and returns the 6 totals.