Does this also recognize peaks as well as PeakFinder does?
I personally want to keep my commits light & fast, so it's not an impediment to commit often. I've always found even a simple reformatter on commit can be a bit annoying. Ideally for every micro-task done I commit, even if it's messy and even if I decide to revert the work later. It becomes kind of like a reasoning trace. Only when the task is completed, must the code comply to all the necessary checks, and then it becomes a PR and CI jobs run to validate
The only thing it has trouble with are brand/product/tooling/person names. You can add custom vocabulary, but then it tends to over-correct and insert those custom words when I never said them. However this isn't unique to local STT, frontier cloud models also struggle with this.
Not affiliated but those troubles are now finally solved with Infisical for me. It's open source so I happily give them a plug.
They also tend to overengineer solutions if not guided well.
If you think about it, in that respect it's not that different from managing actual human senior engineers.
I think this is why focussing one's limited human attention more the input (defining clear requirements) as well as on validating the output (good CI/CD including end-to-end automated tests) is far more important than manual code reviews and micro-managing the development process.
Does this mean every parent has to now make sure not to take pictures of their children playing in bath for instance, in order not to trip these scans for false positives?
Having built-in AI integration without relying on sketchy plugins would be the cherry on top (although, seriously missing the option to connect with any openai-compatible LLM provider like someone else mentioned here).
Seems like this might almost offer exactly that? I'll have to try it out...
That number is at least tenfold of what it was before, simply because I can run a lot of gruntwork in parallel now without wasting brainpower and focus on that stuff.
Like the OP said, it's incredible how polarizing this debate is. When I read comments like yours, I feel like a significant part of the global workforce in IT must be living on another planet? Or they never really used Claude Code, Codex, OpenCode, ... intensively before because of company policies?
I legitimately am at least 10x more productive than a year ago, and I can prove it in number of commits and finished monetizable features developed per day. Obviously my workflows still very much require an active, constantly context-switching human-in-the-loop, but to me there's absolutely no question both output volume & quality have skyrocketed.
Also, I see this more as a feature than a bug. In many projects I inherited in the past, I wish the original devs were a bit more verbose. Then again, with every developer using LLMs now, probably the opposite applies now.
It's just a bit of a pain to set up, and also, not mobile-friendly.
This question seems to be asked almost annually on here (https://hn.algolia.com/?dateRange=all&page=0&prefix=false&query=successful%20one-person%20online%20businesses&sort=byPopularity&type=story), and I'm curious what it looks like in 2026.> How many people on Hacker News are running successful online businesses on their own? What is your business and how did you get...
If you make a change to your codebase, normally you know what you want to achieve and why (otherwise... what are you even doing?). A commit message is just putting that in writing... that only takes a few seconds, often less than it takes to write the code.
So it's just a good habit to have. It forces you to think more about the changes you do & why, so it makes you a better software developer. Creating any new habit always takes some energy initially, but it's worth it.
The way I use LLMs is, I enter a very specific query, and then I check the output, meticulously reviewing both the visual output and the code before I proceed. Component by component, piece by piece.
Otherwise, if you just "let it rip", I find that errors compound, and what you get isn't reliable, isn't what you intended, increases technical debt, or is just straight up dangerous.
So how can you do this from a smartphone? Don't you need your editor, and a way to run your code to review it carefully, before you can provide further input to Claude Code? Basically, how can you iterate from a phone?
I'm with the vibe of wanting to move on to the point where LLMs are just yet another tool in the process of software engineering, and not the main focus.
Most apps have user data that needs to be (partially or fully) shielded from other users. Yet, most local-first libs neglect to explain how to implement this with their libraries, or sometimes it's an obscure page or footnote somewhere in their docs, as if this is just an afterthought...
No doubt this would help increase adoption these days, and make implementation a lot easier.
A lot of professional sports clubs, S&C coaches, etc.. use timing gates for measuring sprints, but those are a pain to set up, only capture split times, and are expensive. I think radar (+ optional video overlay) provides a far superior solution.
Closing inbound leads is relatively easy, since they've already shown active interest... The challenge I'm struggling with is (cold) lead generation: finding leads (and how to contact them) that match well with the service you're offering.
There are a lot of dubious scraping tools and B2B lead databases, but I feel like it should now be relatively easy to build a reliable web crawler & lead generator ... Does anyone know state of the art open source tools or services for this?
Also, I second the other commenter's mention of the lack of sports on BlueSky. That's a pretty large category not to have...
But yet another subscription? ... no thanks
Point is, everyone has biases, and everyone makes mistakes. We're only human. I think we should judge an information channel by the way they self-correct for those mistakes. That tells a lot about character and values, and whether or not to trust the source. So I believe we desperately need a meta layer on the Internet, much like X introduced with community notes, but on a larger scale. Open source, fully auditable, immutable (append-only and decentralized, so probably on a blockchain cause of the Byzantine Generals problem) - but I'll admit, that's just the tech geek in me trying to find a practical tech solution to a complex social problem.
While in some cases, the complete context is helpful for the job, in other cases, and I realize this may be pure paranoia but, you may not want to share the complete picture.
Why would they have the right to broadcast misinformation, and popular podcasters not?
The answer to this isn't censorship. It's in education and teaching people to think critically.