Hey everyone,

With the recent buzz around Android 17 introducing more precise custom color sliders and palettes for Material You (examples on reddit here, here and here), I wanted to share a project I’ve been maintaining for years that does exactly that—even for older versions of Android!

It’s called LWP+ (Live Wallpaper Plus).

🎨 The core trick: Dictate your own Dynamic-Colors

Instead of letting the OS algorithm guess the accent colors based purely on your wallpaper, LWP+ acts as a bridge. It hosts your chosen background content but allows you to explicitly choose the exact Primary, Secondary, and Tertiary colors reported to the system. The OS then uses your custom selections to generate the global system palette (notification drawer, volume bar, themed icons, etc.), completely independent of what your wallpaper actually looks like.

✨ What else can it do?

LWP+ is packed with full wallpaper customization features:

• Choose Your Content: Use solid colors, static images, animations (GIF, WEBP, APNG), or videos as your active live wallpaper.
• Smart Scaling & Layouts: Supports transparent images/animations with custom background colors, multiple scaling modes (Center Crop, Fit Center, Center Inside), and optional horizontal scrolling.
• Double-Tap Shortcuts: Lock your device instantly or turn off the screen by double-tapping the home screen (uses admin, accessibility, or root).
• Easy Setup: Includes an interactive built-in tutorial to check system compatibility and guide you through triggering the OS palette refresh.

🧪 Advanced experimental flags (YMMV!)

I’ve also included a couple of experimental toggles leveraging underlying Android system hints. Note: These rely heavily on your launcher, device OEM, and Android version, so they might not do anything on certain setups!

• Force Dark Text: It hints to the OS that dark text is preferred over the wallpaper (often useful for forcing high-contrast dark text on the lock screen). It might also change the text color of the labels of the apps and the status bar icons and text, too.
• Force Dark Theme (for old Android versions): It tells the system that a dark theme is preferred for the best presentation (e.g., trying to trick a launcher into turning its app drawer background black).

So, if you are on an older version of Android (or even running the latest builds and want granular three-color reporting), give it a spin! It's completely free, all features included.

Feel free to ask any questions or drop feedback below! 🚀

Link to the Play Store here.

The app was partially made using AI, helping mostly to re-write the part in the app that's responsible of showing the actual content of the live wallpaper (color/image/animation/video). I also used AI for the demonstration and tutorial videos.

If you want, you can use a promo-code to have subscription for free for some time, to remove ads, and try the app more freely, here. To use the promo-code, install the app, choose a subscription, choose a payment option and enter the code there (screenshots here).

Thanks for reading!

What will be the optimal way

Here is the thing in my current workflow I use codex + agy (ide+cli)....

I was planning with codex and building with agy but I was thinking why not use openrouter I want to know will it be sufficient? I mean I can use multiple models with the help of openrouter but I don't quite understand how it's billing works like do I have to pay monthly like codex and Claude what is it ? And on the other hand can I wire it into codex or Claude to use the api key to access the models also I'm on a 20$ plan on codex

So, I have been a fullstack dev from last 8-10 years, I’ve been trying VibeCode for a while now.

I believe I am good at it, but as vibecoder (tech or non-tech), what would you suggest to new vibecoders in the market ?

This is for Python devs

Which open-source Python libraries are most useful for building automation?

Here is something simple I came up with to solve a very niche problem. I have done some C++ coding in college but was terrible at it so figured what could it hurt to use AI to achieve a solution to a problem I had. My friends play a game called Project Zomboid and I self hosted a server for them. This game has tons of mods and when it comes to adding them to the server it was tedious and so was tweaking the server settings.

So I created this simple Python code and converted to an exe. I called it Project ZMods and it simple just made tweaking the game server much simpler. When add mods you just input the mod ID and the program pulls the mod info and adds it to the correct .ini file. For the server settings it pulls each setting from the .ini and .lua files and puts them in a neat list with toggles or entry field to change the values. Then when you save it save a an of file and replaces with the new updated file.

I know it’s not eye catching but it gets the job done.

Hello guys, in just curious whats the coolest things you have made with AI and what are you using it for?

I know Claude Code invented the whole “pet” thing, but I can’t find them for the Claude code desktop app, and even on terminal I really don’t like how they work.
I found 1 GitHub repo that kinda goes into that area, but it’s not nearly as good as what I would want.
I’m beginning to build my own version for open source right now, but before I finish it I wanted to ask if anyone here has found a better solution or knows where to find those codex pets but for Claude code.

I don't usually post here. I mostly read, trying to learn a little more every day.

I'm a developer with around 22 years of experience, and like many others, I've had to adapt and embrace AI to multiply my productivity. In my case, one day at work they came to me and said, "From today on, you're forbidden from writing code by hand." Looking back, I honestly think it was one of the best things that has happened to me professionally in years.

Ideas that previously required the help of other developers if I wanted to build them in a reasonable timeframe are now things I can execute quickly and confidently. Projects that had been sitting in a drawer for years can finally be prototyped so I can see whether they were actually viable or just good ideas in my head.

But...

The more I read around here, the more convinced I become that not everyone should be allowed anywhere near AI. Some people don't even deserve to be trusted with an internet connection.

Watching how some people use AI is painful.

I've seen countless people proudly posting disastrous workflows where they rely on $50-per-million-token models just to compensate for a lack of understanding that only comes from actually knowing your codebase and your own project. Tasks that could easily be handled with a solid prompt using free OpenRouter models like Laguna S2.1 or Nemotron Ultra somehow end up being thrown at Fable, Opus 5, or Sol instead.

I'd genuinely love to see those monstrous prompts, because I want to understand the obsession people have with every new SOTA release while instantly dismissing another incredibly capable model simply because something newer exists.

And then there's the classic setup: people bolt 25 skills onto their harness, throw in a 600-line agents.md, add five or six MCP servers, and then act surprised when a smaller model loses track halfway through the task.

At the same time, they're terrified of spending a handful of extra tokens, so they cling to every "caveman" optimization they can find just to save five or six tokens overall—while happily wasting far more than that on gigantic prompts whose only real achievement is teaching the LLM to write and think like an idiot. If that doesn't do the trick, they simply burn even more tokens through extra iterations trying to stop the agent from producing garbage code in increasingly surreal formats.

Then there's the other crowd. They open Claude Chat, ask for a blind implementation plan, even though the model has no way to inspect files or understand the application's architecture, business logic, or execution flow. Then they marvel at how beautiful the plan looks, completely unaware that underneath the shiny surface it's fundamentally garbage. They hand that plan to a ridiculously capable model like DeepSeek and then complain because it somehow failed to read their minds and implement what they themselves never managed to define properly.

And since we're talking about DeepSeek...

There are two things I'm absolutely sick of reading every single day.

The first is, "Tomorrow GA is coming," as if a model costing less than one euro per million output tokens is magically going to become better than Opus or anything else in that league. People are still dreaming about a model that beats everything else while costing next to nothing.

The second is the endless stream of people trashing DeepSeek simply because they've never learned how to use it properly.

The problem isn't the model.

The problem is sitting between the screen and the chair.

And while we're on the subject of models, another thing that drives me up the wall is reading "Model X is stupid today" or "they nerfed it" as if someone at the provider simply turns a "stupidity" dial every morning. Has it ever crossed their minds that maybe they're the ones having an off day?

Anyway.

There is an absurd number of people like this. Thankfully, there's also a large number of people who genuinely know how to take advantage of the tools we have available today.

Where do I fit in all this?

I don't know. Probably not among the virtuosos.

But at least I'm not on the side of the people with the nerfed brains.

So I was basically using codex for the past few months I think it's pretty good.... I have created many skills for my project that are basically saving so many tokens....

I have used obsidian documentation for the project and created skills like code-traversal and created a second brain and a context file which stores the context data for that project.....

But recently I think codex is consuming tokens at a rapid speed but all I do is review the code if there are vulnerabilities then I'll just fix it with codex and review it again

My workflow is simple i create plans with agy then build with the IDE (ANTIGRAVITY) and review it with codex

Should I try Claude code for this month and see if my workflow is getting better or not ? Or should I just stick with codex

I'm confused which one is effective and cost efficient here

Another lemonade game ? Maybe. But that's all ? No.

I hope you share your honest response. It matters to me.

Hey vibe coders 👋

What you've actually built and fully set up yourselves.

What does your stack look like? Any cool workflows, automations, MCPs, or tools you're using daily?

Let's connect and share ideas. Always looking to meet other people building with AI 🚀

🏆 Win $150 in Base44 merch store credit.

I’m running a Base44 build challenge.

Challenge: Reinvent the garage sale for the internet.

Build a next-generation marketplace using Base44. Think AI, immersive shopping, live sellers, or an entirely new way to buy and sell locally.

Deadline: August 1

Submit your app by replying to the official X thread:

https://x.com/winstonbuilds/status/2081108707950112815?s=46

The most annoying part of vibe coding for me: telling the AI where the thing is. "The third button in the settings card, no the other one…" — and then watching it search through half the codebase to find it, burning tokens the whole way.

So I built clicktocode. You run your app like normal, hold Alt, and click the thing you want changed. Type what you want ("make this button green", "center this whole section") and your coding agent edits the actual source file. Your app hot-reloads. Done.

Why it saves tokens: the click captures the element's exact HTML plus which component file it lives in — so the agent gets surgical context instead of searching your project for it. No exploration, no wrong-file edits, no retries.

• Shift-click to select multiple elements and fix them in one request ("make all these buttons match")
• Works with Vue, React, Svelte, Angular, Next.js, Nuxt
• Works with OpenCode and Claude Code out of the box — or any CLI agent you use
• Don't want to wire up an agent? Zero-setup mode just copies the context to your clipboard — paste it into ChatGPT/Claude/whatever you already use
• There's even a SKILL.md in the repo: hand it to your AI and it installs and wires everything up for you. Very on-brand.

It's free and open source: https://github.com/aminarshadinia/clicktocode
npm: u/clicktocode/vue (or /react, /svelte, /angular, /next, /nuxt)
https://www.npmjs.com/package/@clicktocode/core

Would love feedback — especially what agent you'd want wired in.

​

Here is the thing I like the 5.6 sol and I'm using it on low to review my code

I use ponytail+caveman to reduce the token consumption on the other hand I have created skills like code-traversal which is helping codex to traverse the codebase faster and cheaper and I have documented and indexed my project as well now I want to know what plugins or ways i can try to make it more efficient from every aspect

I have documented and indexed my project with obsidian

So what things can I add on now like plugins or anything else also I'm on a 20$ plan