rsyring

Anyone else here interested in road course tracking (HPDE) or racing? If so, where do you go?

I'm in the US Midwest and have been to Putnam Park, NCM, mid-Ohio, Pitt Race (private now...sad), and Ozark's.

I didn't realize the first round through that each game was for the same episode. I also didn't realize I could search for plot keywords. That made it a lot easier and I haven't missed one yet.

The game might be too hard? I have watched A LOT of TNG and didn't make the first few guesses correctly and then bailed out.

I think that entire paragraph was insightful and helpful in clarifying something I felt but wasn't sure how to express. Thanks.

And, for what I do, Python web apps, it's almost never a problem. It doesn't affect runtime performance, accuracy, maintainability, or bug frequency except in the rarest of cases. Finding non-determinism is even rarer. And, in almost all adverse cases, it would be considered a bug.

I therefore find your suggestion to compare machine code and LLM output questionable. I find them qualitatively different paradigms, not simply another step up in abstraction.

It's not fear. It's experience. I've seen the kind of code agents write. And it's too often crap even when it "works". This isn't about beautiful code. It's about what we've built actually making sense to a, hopefully talented, software engineer.

Maybe more important than that, it's about taking the time to build the mental models that facilitate product development and the next iterations of coding. When agents write all the software, the majority of engineers I've seen, including myself, lose almost all context to what is actually going on at anything but a very high almost laughable level. And they then become almost completely dependent on the agent for the next iteration of development b/c they don't really understand what is there currently.

Does this matter? From a software perspective, it depends on what you are building and for whom.

From a human perspective, it depends on the human. I've seen good developers that I trust historically churn out crap code with agents because it was just too much to review. And there is some kind of weird addiction like thing happening in our brains when using AI that makes it incredibly difficult for us to slow down and review all the code it writes. In part b/c agents are great at crapping out 3K line PRs like it's nobody's business. But it needs to be someone's business to understand what we are shipping for anything but non-trivial projects. And truly understanding 3K line PRs hour after hour is just not sustainable for most of us. Our eyes glaze over and we just ship it because that's what we do now as an industry.

I think wary is the wrong term. I've learned agentic development's strengths and weaknesses. And the tools, as they work currently, churn out code at a rocket's pace that any good software engineer would immediately reject in years past. I don't like their code, I don't like how their code development process interacts with my brain. It's not waryness, it's dislike and mistrust.

So, yes, they can be assistants. And they can even write code. But I think in much smaller chunks than most people are using them these days.

The idea that we should build software factories and/or otherwise just turn agents loose and isolate humans to the product/QA level is insane to me. But I understand why we are here and I realize that a large portion of the business and dev community likes this new model.

I'm hoping that not doing it that way will end up be a competitive advantage in the long run. Both for the software we are producing and for the devs that are creating it.

Not knocking the research, cure it already! I just think it should be in the title to avoid false hope.

Not sure where you live or what votes you are making, but "much better results" is hardly what I've seen or expect from US politics, politicians, and the uber wealthy that run the corporations that dominate many of the most important aspects of our daily lives.

Mine hadn't been updated yet. I'm not sure why Firefox was failing the page check but, in some ways, it was a false positive for me.

I noticed that Firefox didn't show any connections on that page (good) but when I ran the curl command, it did connect (bad) and I had to update my Ubuntu packages manually to resolve.

https://blog.ppb1701.com/the-quiet-renovation-at-bitwarden

Previously discussed: https://news.ycombinator.com/item?id=48163389

This pricing stuff is so frustrating. I run a small business so Enterprise doesn't fit us. The personal plans are better than the business plans. So we just do reimbursements for the personal plans.

I would mind paying $125 for SMB plans equivalent to the personal $100 plan, assuming they were as good or better than the personal plan. But I don't understand this pricing model that has the individual plans beating the business plans soundly.

- Google News and the occasional full article

- Email

- Slack

- ChatGPT/ Codex responses

- Road signs

- Various things in various mobile apps I use

- Websites

- Movie/Show subtitles

Off the top of my head, that accounts for most of the things I read on a weekly basis.

No time for books.

The first chapter or two of the book is good for the general principles. I found the later chapters about big org management to be less helpful.

I personally go one step further and mentally adjust radical candor to be winsome candor. I'm explicitly adding some empathy and humanity by doing that, so that I'm more likely to treat others how I'd want to be treated, even when the conversation is hard.

- LLM expense budget

- What type of dev: work, personal, real time spaceship thrust vectoring, html contact forms for family, etc.

- human in the loop with short as possible turns, software factories that can run for days, or something in the middle

Just off the top of my head. I'm sure there are others I'm missing.

Except, exe.dev is more about, you have a VM and can do LLM work on it. Orbs seems to be minimizing the VM machinery more and making it about the "agentic experience."

FWIW, we use ChatGPT for our primary model and use Claude to do the reviews. This works better than ChatGPT doing it's own review even with a clean session/context.

In particular, aiming to be embeddable into other projects seems rather notable. At least, not something I've remembered of other projects that have made there way across the HN front page.

https://www.warp.dev/

- fx is a coding agent harness and CLI written in Zig, optimized for research and embeddability as part of larger systems.

- It focuses on minimalism and performance across the board, from system prompt design, to its tools, feature set, and 6.39mib binary.

- For end users, its CLI output style and form factor aims to be closer to a Unix shell than a heavy "IDE in the terminal" TUI.

- It's open source (Apache-2.0), model-agnostic, and suitable for both local and cloud inference.

- Designed for instant installation and embedding in resource constrained environments and agent sandboxes.

- fx cold starts in 10µs and does no unnecessary work or I/O prior to accepting user input, making it ideal for programmatic use.

- Optimal fx.wasm builds produced by the Zig toolchain, which further reduce fx's size, making the network stack pluggable.

- fx contributes single-digit megabytes of memory baseline, allowing you to pack many instances in one machine.

- fx preserves scroll history by default, produces minimal output, and makes sparing use of complex TUI or paints

- Minimal system prompt and tools, to save on token costs and to yield optimal time-to-first-token performance (TTFT).

- Small core, extended via skills, plugins, MCPs, with a Unix-like philosophy to extensibility.

- Designed to work with local models, gateways, direct provider API access or subscriptions.

> Forgejo is self-hostable free software for software development, built on top of Git. Codeberg is powered by Forgejo, which is in turn a hard-fork of Gitea. Compared to Codeberg, Forgejo is not one service, but free software to help you build your own. Everyone can install their own Forgejo instance to host their own projects. There are also public Forgejo instances as well as Codeberg you can use, but make sure you find a site that is actively maintained and updated, and that you trust the provider.

https://docs.codeberg.org/getting-started/what-is-codeberg/#...