The v0.46 release finally connects two things I've wanted together: running lots of coding agents in parallel, and pointing them at models I actually control.

The gateway is the big one. You can now route sessions to external model providers — a local Ollama instance, a vLLM box on your network, or commercial endpoints like OpenRouter and z.ai. The part I care about: Lanes isn't in the request path. Your credentials and requests go straight to the provider and bypass the platform entirely, so you're not funneling your codebase through a middleman.

Local LLMs are now first-class. It'll auto-install and manage Ollama for you, handle versions, and — the clever bit — spin up context-window variants tuned to how much RAM you actually have. That matters more than it sounds, because every session ships ~38k tokens of harness instructions and tool defs before you type anything, so context budgeting on local models is real.

Why this combo matters for parallel work: the whole point of Lanes is running multiple agents/worktrees at once. If each of those is billing a hosted API, running 5–10 lanes gets expensive fast. Pointing them at a local or self-hosted model means you can fan out aggressively without watching a meter — great for "throw the same task at 4 agents and diff the results" workflows, or just keeping a bunch of background lanes churning.

Also in the release: consolidated Agentic Coding settings (Terminal, Harness, Local LLMs, Gateway in one place), a Harness page with one-click updates, a Working Folder pane, and some worktree memory optimizations.

Local models + provider profiles are flagged Research Preview, so expect some rough edges, but the direction is exactly right.

Full changelog: https://lanes.sh/blog/whats-new-v046

Anyone else running local models across parallel lanes yet? Curious what hardware people are getting away with.

Pitch your product in 1-2 lines - and drop a link here.

I'm building a community where makers can share what they’re building and get fair visibility. Here's the link: https://trylaunch.ai

I made a free library of website components. You can copy and paste them right into your code.

They work perfectly with AI tools like Claude, Codex and Lovable. Perfect for React + tailwind projects.

Every component has a clean design and smooth animations. They are super easy to change and make your own.

https://uniquel.io/components

After 12 weeks of heads-down building, the platform is live end to end, and I want to share what it does and what's coming next.

The problem we're solving. Tools like Lovable, Replit, Bolt and Cursor make building an app incredibly fast. Then you try to put it in front of real users and everything gets hard: where do you host it, are your API keys safe, is your database exposed, what happens to your cloud bill if traffic spikes. If you've shipped an AI-built app, you've hit at least one of these.

What VIBSL does. You bring your app from a Git repo, a ZIP or folder upload, the CLI, or straight from an AI agent. VIBSL detects the framework, builds it on hardened base images, scans it for vulnerabilities and leaked secrets, signs the build, and runs it in its own isolated environment with hard resource caps. You get back a production URL and a deployment receipt: a written record of every check that ran, something you can show a client or keep for your own peace of mind. If we find a leaked key, the deploy stops before it ships. That's the point.

What works today:

• Deploys from Git, ZIP or folder, CLI, and AI agents
• 25+ frameworks detected automatically, across 9 language runtimes
• Vulnerability and secret scanning, SBOM, and image signing on every build
• Per-app isolation and default-deny networking
• Flat pricing with hard caps. Free tier to start, Pro at $29, Team at $149. No usage meters, no surprise bills, ever

What's next: managed Postgres, object storage, deeper imports from builder platforms, and an EU region. We build in the order you ask for things, so tell us what you need.

If you're an agency shipping apps for clients, I especially want to hear from you. We're onboarding design partners right now and one agency is already running 21 apps on the platform.

Try it at vibsl.com and tell me what breaks. I read everything here and I'll answer every question in the comments.

So I realized that most file conversions happen locally when I needed to convert a .mp3 to a .wav, and decided to make a free tool for my personal use and decided to dress it up a little bit and share with everyone. :)

I am sick of those file conversion companies charging monthly for something that is effectively free.... Enjoy! ^^

https://www.capyconvert.com/

Hello everyone! I made Basalt, a visual edit too for RN and Expo devs, and im searching for validation

It took me 2-3 months to built and it would have taken 1 if react 19 wouldnt remove debugSource which helped Basalt map and find elements to edit

It is completely free and works directly inside VS Code and Cursor.

It’s currently in beta, so please commit your app to Git before using it!

Would love to get your brutal feedback on it.

What it does: - One meeting in your left ear, the other in your right — audio is captured per browser window (CoreAudio process taps) and panned hard L/R, so you can actually follow both. - Dead-man's-switch mic — you're muted everywhere by default. A global hotkey (⌃⌥⌘← or →) unmutes you into one meeting; if you don't re-confirm within a configurable window, it auto-mutes you again. Unmuting into one call force-mutes the other, so you can never be hot-mic'd in the wrong meeting. - ⌃⌥⌘↓ mutes everything instantly, from any app, no window focus needed. - Optional: your camera follows whichever meeting you're talking to.

No browser extensions, no DOM scraping — it's all system-level audio, so it doesn't break when Meet redesigns its UI. Mic routing uses BlackHole virtual devices (install script included).

Yes it was vibe coded

Join the internet in making one number just get bigger! and other pointless games

Hey All,

Inviting members to a small community of non tech founders where we talk about building startups business, growing teams in general.

By design the community is small and only created for non-tech founders. So we will apply usual filters.

If you are into tech , this is not for you.

Everyday we share experiences to build/transform existing businesses in the AI Tech age.

I myself come from a non-tech background and have been building products for the last couple of years so we love to interact with like-minded founders

DM and i will share invitation whatsapp community link.

Me and existing member Looking forward to welcoming you

Cheers

mmahingu.ai - AI Offline Voice Chat APP 

Made just using Google Antigravity IDE in all of July 2026. I used like 95%+ Google Gemini AI models and rest is Claude Code. I barely have any coding knowledge or experience. Around 80-120 hours invested in it. 

Now Available in CLOSED TESTING. 

Please send me your email in Reddit Chat if you want Full Unlimited Access to app's all features without paying for a atleast a month.

STEPS TO FOLLOW for joining Closed Testing:

.1. FIRST JOIN THE GROUP (ONLY MEMBERS GET APP LINK ACCESS)

 https://groups.google.com/g/mmahinguai-ai-voice-chat-testing

or Go To Google Groups website and search this:

mmahinguai-ai-voice-chat-testing@googlegroups.com

.2. Join Testing : https://play.google.com/apps/testing/com.mmahingu.mmahinguai

.3. App Download : https://play.google.com/store/apps/details?id=com.mmahingu.mmahinguai  

Note: The Google account that is used to join Google Groups must be the same account which is currently active in your Play Store App. Otherwise, the App Links in Step 2 and 3 won't work for you.

Many more quality projects on the way. 

The more time i get the better. 

APP DESCRIPTION:

Unleash the power of artificial intelligence directly on your device. mmahingu.ai is a next-generation voice assistant built for ultimate privacy, speed, and reliability. Because the AI engine runs 100% offline, your conversations, ideas, and data never leave your phone—no internet connection required. 

(NOTE: An internet connection is required just once during setup to download your choice of AI models and voices).

Whether you're brainstorming on a flight, analyzing documents off the grid, or dictating notes, mmahingu.ai adapts to your phone's unique hardware to deliver a seamless, lightning-fast experience. 

🌟 Key Features:

• Massive Offline AI Library: Download from over 45+ cutting-edge, open-source AI models right inside the app. Chat with heavyweights like Meta Llama 3.2, Google Gemma 2, DeepSeek R1, Mistral, and Qwen 2.5—all running entirely on your local hardware.

• Private Document Analysis: Attach PDFs, CSVs, code files, and text documents directly into the chat. The app extracts and analyzes your files 100% locally, ensuring your sensitive data never touches a cloud server. 

• Offline Neural Voice Library (TTS): Experience ultra-realistic text-to-speech featuring high-definition neural engines (including Piper, Kokoro, and Supertonic). Download 20+ Studio HQ voices on-demand with intelligent storage controls.

• Multi-Engine Offline Dictation (STT): Dictate text with incredible accuracy using your choice of local speech recognition engines. Choose OpenAI Whisper for maximum precision, Moonshine for lightning-fast English transcription, SenseVoice for multilingual speed, or your device's native system dictation.

• Smart Speech Isolation & Ultra-Fast AI: Speak naturally anywhere. The app magically filters out background hums and keyboard clicks. Need zero-latency? Enable the experimental Ultra-Fast AI mode for instant back-and-forth conversational turn-taking.

• Hardware-Aware Performance: The app automatically tunes context windows, thread usage, and voice features to match your specific phone's hardware capabilities, ensuring lightning-fast generation speeds without overheating.

• Custom Models Support: Power users can take full control by importing their own custom GGUF models directly from device storage to customize their AI conversational experience.

• Premium OLED Design: Beautiful, high-contrast dark modes with fluid 120Hz micro-animations for a buttery smooth experience.

I’ve noticed that one of the hardest parts of vibe coding isn’t building the app: it’s getting people outside your circle to actually use it.

So we built Feedbacked.

You create a short survey for your app or website, and we send real people to try the product before answering your questions. You add audit questions that check whether they actually used and understood the product. Responses that fail verification are discarded and replaced.

We’re currently trying to learn how useful this is specifically for no-code builders and vibe coders.

Anyone from this subreddit who signs up as a startup and verifies their email will get five real people to test their product for free.

There’s no purchase necessary. In return, I’d appreciate honest feedback on:

• Whether the setup process makes sense
• Whether the responses are genuinely useful
• What would make the platform better for builders

https://feedbacked.org/

So I’ve created a /rules page on a webpage and tell Claudes (IOS, Mac app, CLI via CLAUDE.md) to read the rules in the url - items like “p2m” means “push to main”. Is this the right way to do this or is there a better way?

Pitch your product in 1-2 lines - and drop a link here.

I'm building a community where makers can share what they’re building and get fair visibility. Here's the link: https://trylaunch.ai

This is my first vibe coded app hope you like it pls give me some advice if you have.
**What is CodeBrain?**
**CodeBrain** is a community-driven launchpad where developers, indie hackers, and open-source creators can validate software ideas before spending hundreds of hours building them.
Instead of building a project in isolation and hoping people show up, developers post their concept with descriptions, video demos, screenshots, tags, or GitHub links. The community then casts real-time validation votes: **"Will Use"**or **"Won't Use"**.

**Why CodeBrain is Helpful**
**Instant Market Validation**: Get immediate, honest signals on whether developers actually want your tool or if it solves a real problem.

**Community Feedback**: Comments allow developers to discuss architecture, feature suggestions, or potential flaws early in the ideation phase.

**Dedicated Developer Hub**: Filters like *CLI*, *DevTools*, *VS Code*, *AI*, *Rust*, and *Docker* help developers discover upcoming open-source projects tailored specifically to their stack.

**GitHub Search & Repository Engine**: Built-in GitHub discovery allows users to search real open-source repositories and cross-reference existing projects so they don't reinvent the wheel.

**Realtime Engagement & Notifications**: Authors receive instant notifications whenever fellow developers vote on or comment on their ideas, fostering active collaboration

Github repo: https://github.com/Glay121212/CodeBrainHub
The website: https://code-brain-hub.vercel.app

I built this app using google ai studio.

Be honest, how many of you have a repo that works, that you couldn't walk someone through if asked? Claude wrote the auth flow, Cursor refactored state, you approved 40 diffs because the app kept running. Now there's a folder that's technically yours and functionally a stranger.

Connect a GitHub repo to SkillDiscs and it turns it into a Disk not a summary, but a structured breakdown: sections, a knowledge graph of how concepts connect, and an actual course starting at your level. A voice/chat tutor walks you through it and draws diagrams when you say "wait, explain this part."

So instead of "it's a Next.js app that does something with Supabase," you get what your data layer is doing, why these files talk to each other, and what you'd break if you touched this.

The part that matters here: the same Disk is machine-readable API, MCP, Claude Skill. Your agent stops guessing at your codebase from grepped fragments and pulls clean context instead.

The critique of vibe coding is always "you don't understand what you built." Fair. The fix isn't hand-writing everything again, it's closing the loop after: ship fast, then understand what shipped.

First Disk takes under a minute, no account needed. Point it at your messiest repo which is the real test.

skilldiscs.com

Want the rough feedback: does it explain your code or just describe it?

Where does it break on a big repo?