Earlier quoted context omitted.
How many OSS repositories do I personally have to read through for my own code to be considered stolen property? That line of thought would get thrown out of court faster than an AI would generate it.
It's not your reading that would be illegal, but your copying. This is well a documented area of the law and there are concrete answers to your questions.
GitHub cuts AI deals with Google, Anthropic
291–300 of 742 posts
Re: GitHub cuts AI deals with Google, Anthropic
#292I use cursor and its tab completion; while what it can do is mind blowing, in practice I’m not noticing a productivity boost. I find that ai can help significantly with doing plumbing, but it has no problems with connecting the pipes wrong. I need to double and triple check the updated code - or fix the resulting errors when I don’t do that. So: boilerplate and outer app layers, yes; architecture and core libraries,…
Re: GitHub cuts AI deals with Google, Anthropic
#293I mentored junior SWE and CS students for years, and now using Claude as a coding assistant feels very similar. Yesterday, it suggested implementing a JSON parser from scratch in C to avoid a dependency -- and, unsurprisingly, the code didn’t work. Two main differences stand out: 1) the LLM doesn’t learn from corrections (at least not directly), and 2) the feedback loop is seconds instead of days. This speed is so co…
Re: GitHub cuts AI deals with Google, Anthropic
#294[deleted]
Re: GitHub cuts AI deals with Google, Anthropic
#295I don’t like using AI assistants in my editor; I prefer to keep it as clean as possible. So, I manually copy relevant parts of the code into ChatGPT, ask my question, and continue interacting until I get what I need. It’s a bit manual, but since I use GPT for other tasks, it’s convenient to have a single interface for everything.
Re: GitHub cuts AI deals with Google, Anthropic
#296Earlier quoted context omitted.
Google Cloud's article is from tomorrow? https://cloud.google.com/blog/products/ai-machine-learning/g... https://i.postimg.cc/RVWSfpvs/grafik.png
It’s October 30th in several parts of the world already. It’s after midnight everywhere GMT+7 onwards.
Re: GitHub cuts AI deals with Google, Anthropic
#297Earlier quoted context omitted.
That’s the thing, isn’t it? The craft of programming in the small is one of being intimate with the details, thinking things through conscientiously. LLMs don’t do that.
Perhaps it should be prompted to then? Ask it to review its own code for any problems? Also identify typical and corner cases and generate tests? Question marks here because I have not used the tool. The size & depth of each accepted code step is still up to the developer slash prompter
Re: GitHub cuts AI deals with Google, Anthropic
#298Earlier quoted context omitted.
How many OSS repositories do I personally have to read through for my own code to be considered stolen property? That line of thought would get thrown out of court faster than an AI would generate it.
I assume you're not an AI model, but a real human being (I hope). The analogy "AI == human" just... doesn't work, really.
Me teaching my brain someone’s way of syntactically expressing procedures is analogous to AI developers teaching their model that same mode of expression.
Re: GitHub cuts AI deals with Google, Anthropic
#299Earlier quoted context omitted.
How many OSS repositories do I personally have to read through for my own code to be considered stolen property? That line of thought would get thrown out of court faster than an AI would generate it.
This seems bit nihilistic. You can't be automated. You can't process repos at scale.
Re: GitHub cuts AI deals with Google, Anthropic
#300I mentored junior SWE and CS students for years, and now using Claude as a coding assistant feels very similar. Yesterday, it suggested implementing a JSON parser from scratch in C to avoid a dependency -- and, unsurprisingly, the code didn’t work. Two main differences stand out: 1) the LLM doesn’t learn from corrections (at least not directly), and 2) the feedback loop is seconds instead of days. This speed is so co…
> though I sometimes wonder where we’ll find mid-level and senior developers tomorrow if we stop hiring juniors today.
This is also a key point. While there is a lot of short term thinking these days, since people don't stick with companies like they used to. As a person who has been with my company for close to 20 years, making sure things can still run once you leave is important from a business perspective.
Training isn't about today, it's about tomorrow. I've trained a lot of people, and doing it myself would always be faster in the moment. But it's about making the team better and making sure more people have more skill, to reduce single points of failure and ensure business continuity over the long-term. Not all of it pays off, but when it does, it pays off big.