Memory safety absolutists(itsallaboutthebit.com)
107 points by drogus | 160 comments
First screen, captured .
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Does Ruby on Rails still make sense?(tech.dirkjonker.nl)
63 points by dajonker | 61 comments
Blog post arguing that Ruby on Rails and frameworks generally still make sense even as LLMs make writing code cheap.
Ruby 3.3 on Rails 1.0(nashby.github.io)
225 points by thunderbong | 67 comments
Ruby: A great language for shell scripts(lucasoshiro.github.io)
367 points by lucasoshiro | 231 comments
A blog post arguing that Ruby is an excellent language for writing shell scripts, showing features that make it better than Bash or Python for complex scripts.
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AI is making me dumb(jpain.io)
407 points by Eighth | 247 comments
A personal blog post in which a software developer argues that relying on AI for writing code, articles, and documents is eroding his own writing and programming skills.
Backups Aren't Simple(filipovski.net)
318 points by afilipovski | 190 comments
Personal blog post by Aleksandar Filipovski arguing that backups are more complex than they seem, starting from a family story of losing photos to a reformatted drive.
I've built my first successful side project, and I hate it(switowski.com)
1399 points by switowski | 395 comments
A blog post by Sebastian Witowski recounting how his 2020 side project earned over $15,000 but became a maintenance burden he grew to hate.
I built a programming language that LLMs can't use(blog.picheta.me)
244 points by dom96 | 179 comments
Blog post by Dominik Picheta introducing KillSwitch, a programming language he designed so that large language models cannot use it.
It's hard to write code for computers, but it's harder to write code for humans(erikbern.com)
429 points by imartin2k | 131 comments
Erik Bernhardsson's blog post arguing that writing code for humans, such as libraries, APIs and tools other developers use, is harder than writing code for computers.
The new skill in AI is not prompting, it's context engineering(philschmid.de)
832 points by robotswantdata | 467 comments
Blog post by Philipp Schmid arguing that context engineering, supplying LLMs with the right information and tools, matters more than prompting for AI agents.