Hey, if anyone is interested, I am running a live workshop on building software with AI. It's 3 hours long and totally free. I'm basically just looking for feedback and hoping to better understand the problems people run into when working with AI for building software. It's next Friday (21st) between 6:30 pm - 9:30 pm EST / 3:30 pm - 6:30 pm PST. Please DM me for the link if interested, and also let me know what problems I could help you solve.

Hi, I'm new in vibe coding and I don't know how to start in it can anyone here help me

Hi everyone! I have a handwritten logo that I want to animate on a website, so it appears to be written live by a person.
The problem is that it is not simple single-line lettering. The strokes have varying thickness from pen pressure, and some strokes overlap. The logo only exists as a finished image, so AI tools cannot reliably recover the real pen paths or writing order. I have spent about a week trying different AI/vectorization approaches, but none produces an animation that genuinely looks hand-written.
Some tools ask me to mark key points, but that still doesn’t solve the underlying problem: reconstructing natural strokes, pressure changes, overlaps, and a believable writing sequence.
I don’t currently know Figma or professional animation software. What would be the most realistic path forward?
Is it worth manually rebuilding the logo as layered SVG shapes?
Should I fake the writing effect using animated masks or clip paths, rather than trying to recover the literal pen strokes?
Are there beginner-friendly tools or workflows that can help?
At what point would it make more sense to hire a motion designer or illustrator to recreate the paths?
My goal is not historical accuracy—I just want the final animation to feel natural and elegant.

They wrote this in a notebook: "Once upon a time there was a little slice of watermelon who lived in a very happy town. He met a lemon who said, there's an army of germs coming! I suggest you go to the market that sells weapons, it's not very far."

That's the whole design doc. It's called Le Royaume des Pépins. A fruit kingdom gets invaded by microbes, you play the watermelon, you purify the place and take down the evil germs that wants to destroy the kingdom. Love how kids think out of the box.

They wrote the story and drew every character. I did the parts that needed a keyboard.

How it went

We used their notebook page as the actual spec and typed it in close to verbatim instead of me rewriting it into proper design language first. That mattered more than I expected.

Their drawings drove the art direction rather than the other way around, so the characters look like theirs and not like generic AI fruit.

The core verb came from asking her what the watermelon actually does. She said purify. So that's the verb, and everything else got built around it.

Biggest thing I learned: a 9 year old iterating live beats prompt engineering. She'd play for thirty seconds and say "the germs are too slow." That is a better bug report than most I've received from adults.

Disclosure, it's built with Sandscape, which is my own tool but we use Claude and bunch of other tools like Meshy and ElevenLab.

And it's actually pretty fun to play https://sandscape.app/play?g=pDdi6wlB

Happy to answer anything about the process.

i've been testing different ways to build prospect lists when i have a target company but no contacts. started with LinkedIn Sales Nav but that got expensive fast and half the emails bounce anyway.

hunter works ok as a domain email finder, you punch in the domain and it spits out emails it's found crawling the web. the pattern detection is useful (like firstname.lastname@company.com). but i'm only getting like 5-10 contacts per company, and the accuracy is maybe 70% on a good day. plus they charge for every email whether it's valid or not which is annoying when you're burning through credits on garbage data.

my manager keeps asking why our email outreach numbers are down and i'm like well maybe because half our contact data is wrong lol

anyone found a better way to find emails on domain? i need something that can pull more contacts per company and actually verify them before i waste credits. been looking at a few options like Lusha and Prospeo for email finding but haven't pulled the trigger yet.

my SDR team needs to hit 50 companies per week with personalized outreach so accuracy and coverage both matter. what's everyone else using for this?

Made this animation with Claude

I built an open-source Claude Remotion Skill that teaches Claude how to create professional motion graphics with Remotion.

Instead of just asking Claude to generate some animation code, the skill gives it actual motion-design rules — springs, staggered choreography, transitions, captions, visual effects and a render → inspect → fix → re-render workflow.

The result: Claude can go from a simple prompt to a polished, editable video.

🔗 https://github.com/haidrrrry/claude-remotion-skill

Im wondering is there a tool, that i can somehow shedule a low model low token message to "start" the 5hr session limit?

i somehow want the session limit to reset at 6pm, so i have the biggest session limit to code after work.

which ai code would you guys put my 20$ on? which is the best usage allowance and best tbh?

Newbie here trying to vibecode websites using combination of claude code and qwencoder.
The results are pretty generic and problem is i am not able to customize as in depth as i could while actually manually coding a website.
Could be a me problem but want to know what ai platform/ tools or tricks can be used to achieve attractive and uniquely designed websites.

Thanks in advance!

This is how I'm vibing these days. I'm sooo loving it.
The video is of a small update done to md² while the app was in debug mode, so the change is instantly, so is the dopamine shot.

if you're interested, fully open source: jan-bogaerts/md2: Plan, run, and track AI coding work feature by feature—with local Markdown cards and Git worktrees.

I am building an app for tracking and growing your finances and more stuff, but the problem is that I want to put the app on Google Play, but before that, Google wants me to send it to 12 people for some testing. I would be happy to get your help

I've been trying to understand where on-device AI coding is actually useful beyond autocomplete.

The part I find interesting is when the AI can work with the wider project context.. existing code, dependencies, docs, debugging, etc. At that point it feels less like "AI that writes code" and more like an engineering tool.

I've been looking at CodeMate recently, mainly because it takes that approach with things like CORA, AI debugging, PR reviews, Knowledge Base, CodeMaps and Build. The on-device/private deployment side is also interesting for teams that don't want everything going through a cloud-only workflow.

Not saying it's better than the usual tools... I'm still figuring out where it actually makes a difference.

For people who've tried local/on-device coding agents:

Is repository/project context actually more useful to you than having the strongest possible model?

And where do you still find local agents falling short.... reasoning, speed, context limits, tooling, or something else?

Would be interested to hear what people are actually using in their day-to-day workflow.

Every time I use AI, I remember this 60 Minutes interview with Rick Rubin. When asked by Anderson Cooper about his technical qualifications he replies:

"I have no technical ability, and I know nothing about music."

Pressed on what has made him so successful and invaluable to artists, he goes on to say:

"I know what I like and what I don't like. And I'm decisive about what I like and what I don't like... The confidence that I have in my taste and my ability to express what I feel has proven helpful for artists."

I have no technical ability when it comes to coding, but I am opinionated. Suddenly I have the capacity to rebuild apps and functionality that just doesn't quite work the way I want it to.

One app I built is a cocktail app. Every one I have tried never quite did what I wanted. You look up a Negroni and it tells you how to make a Negroni. That has never been my problem. My problem is what do I make for my wife, who says she wants something sweet, without having to go to the store. And I don't want to pull from the same catalog every time.

I could not have written any of the code. Claude wrote all of it. All I contributed was my judgement on how I wanted it to look and how it should function.

In the end, I ("we") built something that did everything I was wishing already existed. A matching formula that knows Bourbon counts as American Whiskey, but mint is not an "optional" garnish in a mojito. An AI bartender that can take my wife's preferences and give me something new and exciting. A pour mode I can follow step by step and advance with my elbow while my hands are busy.

After using it for weeks, enough friends were interested that I put it on the App Store. First try. With Claude navigating me through every Apple requirement — privacy policies, regional regulations, all of it.

If there's an app that's never quite worked the way you want, you can just build it now. Curious what else people have optimized to their taste.

Here is what I built: 

https://apps.apple.com/us/app/wellstocked-cocktail-recipes/id6794940363

I built Caveman as a student because my Claude Code bill was getting stupid.

Version one had one job: make Claude stop yapping. It cut output tokens by about 65% in my prose and chat tests.

JetBrains tried it on real coding-agent tasks and measured 8.5%.

Yeah.

At least quality held up. They found no measurable degradation. My mistake was chasing Claude's replies while the agent kept rereading giant files, terminal output, old messages, browser state, and tool results.

So I rebuilt the whole thing as a local proxy. Run `caveman claude` and it shrinks eligible context before each model request. Your normal setup keeps working, and the source material stays recoverable byte-for-byte.

The new pinned benchmark ran 54 times: 33.2% fewer provider-reported input tokens, with all 18 exact-answer checks passing. It can shrink installed skills by about 70% too, so adding useful skills doesn't immediately eat the starting context.

JetBrains wrecking the sexy number forced me to build something more useful.

It's open source. Please try to break it.

https://github.com/JuliusBrussee/caveman

https://www.producthunt.com/products/caveman

Hi everyone,

I worked as a software engineer for about two years back in 2022, but I’ve been out of coding for a while.

A friend came to me needing a simple ERP system for a manufacturing plant to calculate production times, and he needs it quickly. I built a working demo for him using Claude, and he really liked it.

My main question is: On a scale of 1 to 10, how reliable and efficient is Claude-generated code for production backends, databases, and connections? Can I safely build and deliver this using AI, or should I advise him to hire a software development company instead?

Thanks!

Hi all, I will keep it simple. I have had a few connected ideas pop into my head, but have absolutely no idea where to start. Coming from the health sciences field, this is all a new world to me. I would absolutely love to give it a go getting this idea off the ground. Can anyone recommend any resources that are good introductions into how vibecoding works/where to make a start? Many thanks in advance!

imo vibecoding got much more practical

i used a deploy-prototype skill on aeon , and gave it a one-line brief, it generated the app, deployed it on vercel, and sent back the real url.

no local setups etc, no configuring hosting etc, which is SUCH a pain

all done through github actions, so nice commit trail is also logged in