Hacker News

Article URL: https://arstechnica.com/tech-policy/2026/07/google-wont-give-up-odd-war-against-ai-web-scraping-despite-court-loss/

Comments URL: https://news.ycombinator.com/item?id=49083086

Points: 2

# Comments: 0

Hi HN — we built `dn` because coding got faster, but building software did not. Use the CLI to clear your backlog faster with reusable agentic workflows & other supporting commands. kickstart, meld, loop, land, fixup, and more commands can be used by you or your agent to turn markdown specification into implementation. Use the CLI in GitHub Actions overnight to durably handoff pull requests and github issues your team picks up in the morning.

For example:

```sh dn --agent codex kickstart --awp \ https://github.com/owner/repo/issues/123 ```

`dn` reads the issue and repository instructions, writes a named Markdown plan under `plans/`, asks the selected coding agent to implement it, and tracks the acceptance criteria. In AWP mode it creates a branch, commits, pushes, and opens the pull request.

You can install a dn skill for your agent. We currently support OpenCode, Claude Code, Cursor, Copilot, and Codex. The conversations you have with your agent are local to your machine. The `dn` skill helps record that context in Github issues and in your git repository as filesystem context. Productivity compounds when your team and the agents your team use share context.

The latest version adds Docker and exe.dev sandboxes for agent runs, remote progress reporting, and a clearer `meld` → `loop` → `land` workflow for splitting work across multiple sessions & developers. We'd love your feedback to make `dn` a better product, it's early days!

We also built https://denoise.cloud so product managers can build alongside `dn` users. Use denoise to short-circuit the software development lifecycle and unlock huge productivity gains for your team!. Our bet is that small teams do not need more dashboards or another proprietary agent. They need a clearer boundary between human judgment and machine execution.

See denoise in action at https://x.com/DenoiseCloud/status/2078607769259721016

Comments URL: https://news.ycombinator.com/item?id=49083082

Points: 2

# Comments: 0

Article URL: https://www.technologyreview.com/2026/07/27/1140668/building-the-enterprise-environment-for-agentic-ai/

Comments URL: https://news.ycombinator.com/item?id=49082086

Points: 1

# Comments: 0

Article URL: https://phys.org/news/2026-07-kids-cellphones-poorer-comprehension-scores.html

Comments URL: https://news.ycombinator.com/item?id=49082060

Points: 1

# Comments: 1

Article URL: https://github.com/the0cp/beatflow-skill

Comments URL: https://news.ycombinator.com/item?id=49082056

Points: 1

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Article URL: https://en.wikipedia.org/wiki/Hypothetical_types_of_biochemistry

Comments URL: https://news.ycombinator.com/item?id=49082055

Points: 1

# Comments: 0

Article URL: https://beyondhorizonforesight.substack.com/p/gps-isnt-a-solved-problemits-one

Comments URL: https://news.ycombinator.com/item?id=49082051

Points: 1

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Article URL: https://mangoirc.chat/

Comments URL: https://news.ycombinator.com/item?id=49082041

Points: 1

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Article URL: https://ballparkfigures.substack.com/p/yahtzee

Comments URL: https://news.ycombinator.com/item?id=49082038

Points: 1

# Comments: 0

Hey guys, I'm not sure how useful the avatar is, but I'd love to hear your thoughts on it....

Comments URL: https://news.ycombinator.com/item?id=49082035

Points: 1

# Comments: 0

Article URL: https://arxiv.org/abs/2510.26692

Comments URL: https://news.ycombinator.com/item?id=49082022

Points: 1

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Article URL: https://www.youtube.com/watch?v=vuNhsCuwpLY

Comments URL: https://news.ycombinator.com/item?id=49082018

Points: 1

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Article URL: https://studycardsai.com/blog/we-analyzed-18000-flashcard-reviews

Comments URL: https://news.ycombinator.com/item?id=49082012

Points: 1

# Comments: 0

Article URL: https://rosebud.ai/prompt-atlas

Comments URL: https://news.ycombinator.com/item?id=49081981

Points: 1

# Comments: 1

I've been experimenting with both since the moment each came out. 4 games, 3 websites and 2 content creation engines later - I think I'm ready to share a bit of my experience and opinion.

WHAT I'VE NOTICED ABOUT FABLE

1. Gold in, gold out - meaning I've had the best results by making all my design decisions before giving Fable the kickoff information and prompt. It's much more comfortable making decisions by itself - decisions it won't tell you about - unless you explicitly tell it what it can and can't decide for itself up front.

2. It's a black box - which is an extention of the point above in a way. I've used the analogy of an agency when I've described it to people, i.e. it'll take a brief (what Fable itself describes as "an order") and go off and run with it, only coming back once it's done. I once had a Fable conversation work independently for 9 hours buidling out a client self-service portal for me. All I had to do was type 'Continue' once it hit its session limits every 5 hours.

3. It's insanely powerful - so if you've got everything worked out up front by thinking and working through it with an Opus conversation, you can get the most staggering results. It creates its own sub-agents, does its own testing and self-verification, and ships you back a finished product. It blew my mind.

BUT I PREFER OPUS 5

Why? Because it's not a black box.

1. It reports back - it seems to pause at natural phase gates and give an update on what it produced and why. There's a rhythm to it that keeps you the user involved.

2. It's just as capable of spinning up sub-agents and doing its own testing and verification.

3. It genuinely is a lot cheaper - for example when Fable runs on a task my Claude Max limits burn out in roughly 30 to 45 minutes (Fable is FAST). But then that leaves me twiddling my thumbs. Opus 5 feels more methodical somehow (which might just be because it comes back to the user, resulting in a slower cadence). Or maybe the better way of putting it is that Opus keeps you the developer involved throughout. And it feels like it's more interested in giving you exactly what you want. Fable doesn't do that - it basically just takes the brief and does its own thing.

I simply wanted to share my experience as I've quickly reached the point of familiarity and thought that might be valuable to others who are experimenting with these frontier models.

Look forward to your thoughts. Cheers.

Comments URL: https://news.ycombinator.com/item?id=49081970

Points: 2

# Comments: 0

Article URL: https://gait.game

Comments URL: https://news.ycombinator.com/item?id=49081968

Points: 1

# Comments: 4

Article URL: https://engineeringcommunity.net/

Comments URL: https://news.ycombinator.com/item?id=49081941

Points: 1

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Article URL: https://starlabs.sg/blog/2026/07-when-ai-makes-0-days-feel-like-n-days/

Comments URL: https://news.ycombinator.com/item?id=49081928

Points: 1

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Article URL: https://www.ovid.com/jnls/nursing/fulltext/10.1097/nsg.0000000000000432~childhood-exposure-to-pornography-and-the-normalization-of

Comments URL: https://news.ycombinator.com/item?id=49081927

Points: 1

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Article URL: https://www.bbc.com/news/articles/c36d79nd5w8o

Comments URL: https://news.ycombinator.com/item?id=49081925

Points: 2

# Comments: 0