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@SergioRocks I kinda agree. I would also add that while LLMs can be good at monolithic changes they are not on doing things incrementally, or at least is your job to make them aware of the need of none monolithic changes, like data races during migrations require multi step deploments peocess
@chrisalbon Is what I do too... but there is a lot of burden, also you can miss eassily having an agent session block asking for new permissions ( or whatever )
@steipete But do tou need them if LLMs already know how to fill the gap by running the proper app commands? coding agents has shown us right? you dont even need to wrap them arround MCP functions, just invoke their raw commands
Cardiologist wins 3rd place at Anthropic's hackathon. Out of 13,000 applications. Built in 7 days by Michał Nedoszytko MD. Coded day and night - in the hospital, in the cloud, while flying from Brussels to San Francisco.
A few years ago, it would have been impossible for a doctor to build this alone in just a couple of days. AI changed that.
The project is called https://t.co/wAliajqjVF. It is an AI agentic care platform for patients. Including reverse AI scribe it is a companion that guides the patient from the moment they leave the doctor's office.
Powered by the massive context window of Opus 4.6, it allows patients to explore their full medical history, connected devices, Evidence Based resources and external data sources — all in one place.
Today, the barrier to entry has vanished; even a practicing physician can build an application from scratch.
@DanielBlancoSWE Dejando a parte si pueden o no ejecutar tareas independientemente con calidad suficiente, en mi experiencia utilizar modelos como Opus con la guia de un individuo experto resulta en una calidad parecida y con tiempos de ejecucion que pueden ser facilmente > 5 veces mas rapido
If you are a software engineer "experiencing some degree of mental health crisis", now hear this, because I've been coding for 50 years since the days of punched cards and I have a salutary kick in your ass to deliver.
Get over yourself. Every previous "programming is obsolete" panic has been a bust, and this one's going to be too.
The fundamental problem of mismatch between the intentions in human minds and the specifications that a computer can interpret hasn't gone away just because now you can do a lot of your programming in natural language to an LLM.
Systems are still complicated. This shit is still difficult. The need for people who specialize in bridging that gap isn't going to go away.
As usual, the answer is: upskill yourself and adapt. If a crusty old fart like me can do it, you can too.