Great concept. Had this idea myself recently.
HN user
straydusk
Dad, husband, data expert, AI explorer, vibe coding enthusiast https://github.com/benjaminshoemaker/
Openclaw
Are there others in this space doing a good job? Curious about what else is tackling this.
Which of the competitors do you think have a unique take, or are doing a good job?
Which are you thinking of? Any that work well?
It builds a map of your life without you knowing. Thousands of cameras snapping your plate over months means someone can piece together that you go to a certain church, a certain doctor, a certain bar, or a certain person's house. You never agreed to that, and you can't see it happening.
There's no warrant and often no real oversight. Normally police need a judge's permission (a warrant) to track someone. Flock can let them search where your car has been without that step, which is why people call it "warrantless surveillance." And it's been misused: several towns like Oshkosh and Appleton canceled their Flock contracts over privacy concerns and several incidents of misuse by law enforcement.
You don't control the data, and the rules can change. This is a big one. When Brookings agreed to install the cameras, the city was promised it would own the data, that retention would be temporary, and that Flock would not sell the information, with the contract stating Flock does not own and shall not sell customer data. Then in February 2026 Flock rewrote its terms, granting itself a perpetual, irrevocable license to use and disclose all customer data, and deleted the promise not to sell that data. So data collected about you can outlive the promises that were made when the camera went up.
https://www.wbay.com/2026/05/12/local-communities-cancel-flo... https://www.brookingsregister.com/2026/05/22/letter-to-the-e...
What's the difference between you and emdash and conductor and t3
I'm telling you, every time I see someone driving one it's the biggest dweeb alive
I'm about as AI-pilled as anyone. Stitch is the only Google powered AI product I use. How are they winning?
Have you missed the lessons of the last 25 years of US involvement in the middle east I guess?
This is basically what Augment Intent is
You'd have to think so. They're really the only serious player left - I doubt Google would want to be involved, and xAI is a significant step down.
I know the reaction to this, if you're a rational observer, is "OpenAI have cut corners or made concessions that Anthropic did not, that's the only thing that makes sense."
However, if you live in the US and pay a passing attention to our idiotic politics, you know this is right out of the Trump playbook. It goes like this:
* Make a negotiation personal
* Emotionally lash out and kill the negotiation
* Complete a worse or similar deal, with a worse or similar party
* Celebrate your worse deal as a better deal
Importantly, you must waste enormous time and resources to secure nothing of substance.
That's why I actually believe that OpenAI will meet the same bar Anthropic did, at least for now. Will they continue to, in the same way Anthropic would have? Seems unlikely, but we'll see.
I know the reaction to this, if you're a rational observer, is "OpenAI have cut corners or made concessions that Anthropic did not, that's the only thing that makes sense."
However, if you live in the US and pay a passing attention to our idiotic politics, you know this is right out of the Trump playbook. It goes like this:
* Make a negotiation personal
* Emotionally lash out and kill the negotiation
* Complete a worse or similar deal, with a worse or similar party
* Celebrate your worse deal as a better deal
Importantly, you must waste enormous time and resources to secure nothing of substance.
That's why I actually believe that OpenAI will meet the same bar Anthropic did, at least for now. Will they continue to, in the same way Anthropic would have? Seems unlikely, but we'll see.
Lol. Lmao, even.
Software developers have spent the last twenty years blabbing about how product management is useless and coding is the one true skill.
Pretty sick. How do you compare yourself with Conductor?
This got upvotes? Literally just restating basics.
In certain, extenuating circumstances, I will read the code. It is not in my common / critical path. It's not how I'd describe my workflow.
?? What
Here's the previous post that generated the hubbub: https://news.ycombinator.com/item?id=46891131
Put in whatever level of rigor matches your project needs, personal interest, and schedule!
This is the most refreshing, grounded response I've gotten in awhile <3
Last week I wrote a post that was ostensibly about the direction of IDEs and AI-assisted coding... and one specific sentence (reasonably) generated a lot of discussion.
The line that got the discussion going was, “I don’t read the code anymore.”
I thought a lot about these arguments, and I still don’t read the code. Here, I defend that. Have at it!
Checkpoints are a new primitive that automatically captures agent context as first-class, versioned data in Git. When you commit code generated by an agent, Checkpoints capture the full session alongside the commit: the transcript, prompts, files touched, token usage, tool calls and more.
This thread is extremely negative - if you can't see the value in this, I don't know what to tell you.
Have you considered that betting against the models and ecosystem improving might be a bad bet, and you might be the one who is in for a rude awakening?
I've written code since 2012, I just didn't put it online. It was a lot harder, so all my code was written internally, at work.
But sure, go with the ad hominem.
You're completely right and I wish I had in retrospect... I was honestly just talking mostly in broad terms, but people really (maybe rightly) focused on the "not reading code" snippet.
I'm mostly developing my own apps and working with startups.
It's nano banana - I actually noticed the same thing. I didn't prompt it as such.
Here's the prompt I used, actually:
Create a vibrant, visually dynamic horizontal infographic showing the spectrum of AI developer tools, titled "The Shift Left"
Layout: 5 distinct zones flowing RIGHT TO LEFT as a journey/progression. Use creative visual metaphors — perhaps a road, river, pipeline, or abstract flowing shapes connecting the stages. Each zone should feel like its own world but connected to the others.
Zones (LEFT to RIGHT):
1. "Specs" (leftmost) - Kiro logo, VibeScaffold logo, GitHub Spec Kit logo
Label: "Requirements → Design → Tasks"
2. "Multi-Agent Orchestration" - Claude Code logo, Codex CLI logo, Codex App logo, Conductor logo Label: "Parallel agents, fire & forget"
3. "Agentic IDE" - Cursor logo, Windsurf logo Label: "Autonomous multi-file edits"
4. "Code + AI" - GitHub Copilot logo Label: "Inline suggestions"
5. "Code" (rightmost) - VS Code logo Label: "Read & write files"
Visual style: Fun, energetic, modern. Think illustrated tech landscape or isometric world. NOT a boring corporate chart. Use warm off-white background (#faf8f5) with amber/orange (#b45309) as the primary accent color throughout. Add visual flair — icons, small illustrations, depth, texture, but don't make it visually overloaded.Aspect ratio: 16:9 landscape
I'm glad you wrote this comment because I completely agree with it. I don't think that there is not a need for software engineers to deeply consider architecture; who can fully understand the truly critical systems that exist at most software companies; who can help dream up the harness capabilities to make these agents work better.
I just am describing what I'm doing now, and what I'm seeing at the leading edge of using these tools. It's a different approach - but I think it'll become the most common way of producing software.
I actually think this is fair to wonder about.
My overall stance on this is that it's better to lean into the models & the tools around them improving. Even in the last 3-4 months, the tools have come an incredible distance.
I bet some AI-generated code will need to be thrown away. But that's true of all code. The real questions to me are - are the velocity gains be worth it? Will the models be so much better in a year that they can fix those problems themselves, or re-write it?
I feel like time will validate that.
When I talk with people in the space, go to meetups, present my work & toolset, I am usually one of the more advanced, but usually not THE most, people in the conversation / group. I'm not saying I'm some sort of genius, I'm just saying I'm relatively near the leading edge of how to use these tools. I feel like it's true.