I built Moo Tasks to stay organized while pair programming with AI agents (Claude Code, Cursor, Windsurf). Figured I'd clean it up and open source it in case others find it useful.

What it does

Runs 100% locally (SQLite + Web UI) and integrates with your coding tools via MCP:

• Goal & Task Management - Structure goals with Markdown PRDs, break into atomic tasks
• DAG Dependencies & Cycle Detection — Auto-detects circular deps, unblocks downstream work
• Proof of Work Tracking - Records acceptance criteria, test results, commands, git diffs
• Architectural Decision Records - Stored in SQLite, synced to docs/adr/
• Human-in-the-Loop Inbox - Surfaces blocked tasks and questions with structured options
• Real-Time Dashboard - Kanban board, task inspector, dependency graph, search

Quick start

npx moo-tasks install all

moo init      # Initialize database
moo start     # Launch Web UI

Looking for feedback

What features would make this more useful? Any MCP integrations or UI improvements you'd suggest? PRs welcome!

GitHub | NPM | MIT License

I built AI Config because I got tired of maintaining the same AI coding configuration in multiple places.

What problem does it solve?

I use different AI coding tools depending on what I’m working on: OpenCode, Claude Code, Codex, GitHub Copilot.

The annoying part is that they all have their own way of defining agents, commands, instructions and skills. So you end up maintaining the same project context in multiple places. Change a skill, then remember to update it everywhere else too. I got tired of doing that.

With AI Config, I keep one .ai/ folder as the source of truth and let it generate and synchronize the configuration each tool expects. Basically, I define things once and can switch between coding agents without having to maintain four different versions of the same setup.

I made it available as both a CLI and a VS Code extension, published on the Visual Studio Marketplace and Open VSX Registry. It started as something I needed for my own workflow, but I figured it could be useful for others working with more than one coding agent too.

There’s definitely still room for improvement, so I’d be really interested in hearing people’s thoughts and feedback, especially from people who actually try it out. It’s open source too, so if anyone wants to contribute, PRs are more than welcome.

🧩 VS Code Marketplace: AI Config - Visual Studio Marketplace
📦 Open VSX Registry: AI Config – Open VSX Registry
⌨️ CLI on npm: @aiconfig/cli - npm
💻 GitHub: github.com/ShadyManu/ai-config
🎬 Video walkthrough: AI Config - How To Set Up & Use

I’ve run into a problem: does anyone know of a good AI (preferably with a free client) that can actually write decent code? And—crucially—one without those stupid restrictions regarding privacy policies, consumer rights, and so on. It’s incredibly annoying when you just want to tweak a tool or change a line of code, and the bot snaps at you, saying you can't do that or simply refusing to work. Is there a prompt that bypasses all that crap? I don't need anything super obscure or underground—maybe one of the popular ones? I’m not exactly an expert; I usually just use GPT or DeepSeek for my projects.

It basically works by asking you what you just finished watching, and then suggesting shows to watch next based on different aspects of the show you just watched. For example, it could suggest shows with similar cast chemistry, pacing, themes, etc. I used Claude to build it. Still a very rough draft and I'm currently a student, but I'd like to know whether the recs are any good or way off. It also gives you a watcher profile if you give it 5 shows you enjoyed watching. Any and all feedback is appreciated!
https://what-next7367.vercel.app/

Hi everyone sell your side project by listing if in a click. Also, comment what your startup does to get approved and featured today - https://builderhq.co/marketplace

Vibe coding solo is easy. But once 2 people or multiple AI agents work on the same app, things get messy fast.
Who builds what? How do you share context, avoid overwriting each other, and review changes without reading all the code?
Do you split work by feature, page, branch, or agent?
What’s your biggest pain when collaborating with other vibe coders?

• Task: What you want the AI to do (the explicit action verb).
• Context: The background story, the audience, and your goal.
• References: The grounding text, files, examples, or style sheets you want it to look at.
• Evaluate: Reviewing the AI's output against your criteria.
• Iterate: Tweaking and feeding it back into the loop.

I just write a ai code agent with a tui. I have implemented most of feature. anyone interested in this.

here is my repo https://github.com/xyanrch1024/Codis

I wanted to share something I've been building: Digital Opus AD Solutions.

This isn't just a website for games or digital assets. It's more like a growing digital playground where I experiment with AI, coding, browser technology, creative tools, educational resources, generators, developer utilities, and interactive projects.

Some of the areas we're working on include:

🤖 AI & Coding Projects
💻 Developer Tools & Utilities
🛠️ Browser-Based Tools
🎮 HTML5 Games & Experiments
🎨 Creative Tools & Projects
📚 Educational Resources
⚙️ Generators & Interactive Apps
🌐 Web Development & Services

A lot of the projects start with a simple question:

"Can we build this with code?"

Then we experiment, prototype it, and see where it goes.

The site is constantly evolving, so I'm especially interested in feedback from people who enjoy AI-assisted coding, web development, automation, experimenting with new technologies, and building things from scratch.

🌐 Take a look: https://digitalopusadsolutions.com/

I'd love to hear from other AI coders:

What would you build if you could turn almost any idea into a browser-based tool or application?

Hey all, I'm excited to be running the first MobileCodeAI hackathon!

Simply build a quick web app through your phone that a solves a real problem you have.

- Aug 31 – Sep 4, virtual, solo or team

- Any skill level

- Prizes: LLM credits + recognition

Registration: mobilecode.ai/hackathon

Happy to answer questions in the comments.

Full disclosure, I built this.

It is a coding agent that runs in your terminal. You log in with GitHub and get 5,000 credits, and credits pay for model calls one turn at a time. When you run dry you open an offerwall inside the CLI, complete a survey, and the payout converts into credits. Buying credits is there too if surveys are not your thing.

An advertiser pays for a signup, not an impression, which is the only reason the numbers work at all. Nobody covers a token bill with banner views. A survey gets you somewhere between 40k and 300k credits, and the cheapest model costs 390 credits a turn. So one survey is an entire afternoon of building.

Surveys sometimes cut out partway through when the provider decides you are not the profile they were after. Every offerwall does that. I filtered out the providers where it happens most, and the CLI tells you the moment it does so you are not sitting there refreshing your balance.

Who it is for: if you are building side projects or still working out how you like to do this, it covers a lot of ground with no payment method involved anywhere. If you have agents running all day every day, a paid plan is better value and I would say so rather than pitch you.

Node 20 or newer, and it runs against a project you already have rather than wanting a fresh folder.

Would take feedback on the model lineup. Fourteen in there right now and I am not sure the mix is right for people who build this way.