I still find people trying to run sprints when working with agents, but then saying things like "my sprint length went from 10 days, to 5 days to 3 days", but they balk at the notion that maybe sprints aren't fit for purpose anymore.
I'm not from the UK, but the soft power of BBC Radio 4 in the late 90s and early 2000s (the Real Player era) made the UK seem like an advanced nation to my young and intellectually curious self. If lived in the UK at the time, I'd have been immensely proud of the quality of the programming.
Am I missing something, but given that it flows through Anthropic’s servers I would have thought the US would just have used it to Hoover up the data of foreign users? Now overseas users have an incentive to use local models or those hosted elsewhere?
Don’t legally serious second Amendment supporters regard “arms” as things that can be carried, and are evolved from/analogous to their 18th century hand-carried guns?
It would be hard to classify AI (or tanks, artillery, missiles, aircraft) as “arms” that can be “borne” in that sense.
Something I hate about ChatGPT is that it assumes I want my text to be rewritten instead of engaging with the content.
I like my writing style. Sure it may leave some sort of linguistic fingerprint and it may not meet some LLM’s idea of what “good” looks like, but I don’t care.
What’s worrying is that the rewrite-by-default behavior is probably there because most users want it.
I know this is going to. be contentious, but US mainstream discourse seems to have completely eliminated the distinction between illegal and legal immigration, in the last 10 years. Everyone seems to be a "migrant".
Tesla’s Solar Roof uses string inverters rather than micro-inverters or power optimizers, which means that partial shading on any section of the roof can shut down production for that entire string. This is a significant design limitation that competing solar installers address with panel-level optimization technology from companies like Enphase and SolarEdge.
This seems to be overblown. I've seen plenty of string inverters around without issues, I'm not sure why this being used against Tesla in particular.
The clean linear history thing is something I never really got, despite using git for 12 years now. I worked with some smart developers whose rule was "rebase if you want, but if too complicated, just merge", and it didn't hurt the delivery or maintainability of the code they wrote.
Engineering has always been about more than writing code.
That's true, but it's interesting how FizzBuzz as said to be the bete noir of the average dimwitted software developer, and how much cutting-edge engineering organizations used to emphasize code in their recruitment processes.
If writing code is being replaced by "engineering judgement" it's going to need a much smaller cohort of developers. Too many opinions spoil the broth, after all.
I suspect that the goalposts for AI-assisted coding will be moved the same way they've been moved for the Turing Test.
The Turing Test used to matter until it didn't (does anyone even talk about it? was there a big news conference when it was solved?). Likewise every time it becomes easier to ship software, the bar will be pushed higher by sceptics. Ultimately the gatekeeping is going to become meaningless as software becomes "too cheap to meter".
For something that was supposedly always unimportant, huge amounts of energy were spent recruiting developers based on how they produced and interacted with code.
FizzBuzz was a litmus test that showed how hopeless the average developer was. Coding interviews were the real test of programming ability. Now we're being told none of that ever mattered for real?
We should just admit that the game has changed (possibly, I'm not 100% convinced). Code WAS the bottleneck and coding ability was the bottleneck, but it may not be going forward.
In my experience, managers don't have to be hands-on, but they need to be able to recognize people with talent and unblock them do their jobs, to be able to spot process improvements, including channelling the AI hype to productive outcomes, and to be a steadying influence in a crisis (without adding noise). If a manager doesn't have technical ability, its impossible for them to do those things.
I think they simply just haven't figured out that the barrier to entry is so low, that no one really cares what their app can do, even if does something genuinely useful.
I've done a ton of low-effort vibe-coded projects that suit my exact use cases. In many cases, I might do a quick Google search, not find an exact match, or find some bloated adware or subscription-ware and not bother going any further.
Claude Code can produce exactly what I want, quickly.
The difference is that I don't really share my projects. People who share them probably haven't realized that code has become cheap, and no one really needs/wants to see them since they can just roll their own.
I caught myself structuring a comment like an LLM on another site. It's expected that people who chat heavily to LLMs will start to mirror their styles.
I'm surprised how many of my technical team use free ChatGPT in their personal lives. The rest have Claude subscriptions. I'm the only one with ChatGPT and Claude subs and I'll be switching from Claude Pro to Ckaude Max and cancelling ChatGPT, since I only use it when I hit my Claude quota.