have AI tools actually made you faster or just given you more ways to procrastinate?

what technical decision do you regret most in your current project?

I'm Zak. I run Compile & Push. This is my vibe coding setup. I've probably started 100 projects over the years. Most never shipped. Most probably never will. But I wouldn't have it any other way. Show me what you're building 👇

Someone needs to build a startup to fight back against AI (I'm not building this, just giving the idea) LLM are too heavy to do most stuff. Just go in companies and startups and automate with code as much as possible, it's cheaper, faster to run and more ecofriendly :)

Devs have officially peaked. Chipotlai Max is an AI coding agent that uses a reverse-engineered proxy to run your code through Chipotle's customer support bot. Pepper (the bot) can solve LeetCode and write Python, and now you can use it as your local LLM provider for free. Peak engineering or peak chaos? Probably both. github.com/cyberpapiii/chipo… url: github.com/cyberpapiii/chipo…

Building in AI SaaS dev tools, always open to connecting and sharing ideas

show me your project. doesn't matter if it's ugly or unfinished.

Everything is open-source. Code and logs: github.com/MuhammadTaha313/p… Building in public feels good. Let me know what you think. #BNBChain #Mantle #Web3 #BuildInPublic

Day 12/100 of posting every single day until I hit 1,000 followers. 45 followers since yesterday Today I: - Worked on my studio landing page - Connected with awesome people Are you into AI, indie development, building in public or shipping fast? Let's connect

Bilkul, is style ki ek simple aur natural post: Founders & Builders 👋 What are you working on these days? Whether it's: 🚀 A SaaS product 🤖 An AI tool 📱 A mobile app 🌐 A web platform ⚙️ An automation solution 📈 A new startup idea I'd love to hear about it. Share in the comments: ✅ What you're building ✅ Who it's for ✅ How far along you are Always interesting to see what people are creating and support fellow builders along the way. Drop your project below 👇 #Startup #SaaS #BuildInPublic #Founders #Entrepreneurship #AI #IndieHackers #Startups #Tech #ProductBuilding 🚀

HubSpot's new Agent CLI sounds techy, but it’s a huge step for SMB automation. Imagine AI agents building complex workflows from plain language. Less coding, more autonomous systems buying your time back. That's real leverage.

7 links i would save if i was building AI workflows for clients: 1. developers.openai.com/codex/ — turn repeat dev tasks into Codex workflows money angle: $500 setup $150/mo maintenance for small dev teams 2. github.com/openai/codex — automate repo work with Codex money angle: PR review / QA / docs package 3. modelcontextprotocol.io/ — connect tools/context to agents money angle: internal ops agent for agencies 4. n8n.io/workflows/ — workflow templates money angle: missed-call booking follow-up for local businesses 5. github.com/trending — find repos before they become saturated the trick is not saving links. it is turning 1 link into a workflow someone pays for.

Cursor went from “a VS Code fork with AI features” to one of the strongest AI coding tools available. A few things changed my mind: > Composer 2.5 is fast and cheap enough for daily work > Automation templates are actually useful > Agent Window is underrated for non-dev work My biggest takeaway: For most tasks, Composer 2.5 is enough if your project has good rules and skills. Cursor is shipping fast, and the direction makes sense.

The AI model you pick today can make or break your project. I compared Gemini 3.1 Pro vs GPT-5 on a real RAG task (10k token docs retrieval tool use). Results? One dominated on cost long context. The other won on coding depth and agent reliability. Full breakdown thread hand👇

A $599 Mac Mini now does the trade reviews I used to pay $3,000/year for. No expensive SaaS. No recurring subscriptions. Just a local model connected directly to my trading journal. Most traders fall into one of two camps: They either pay massive monthly fees for analytics tools. Or they never review their trades at all. Apple sold a computer. Traders turned it into a private, institutional-grade performance coach. The real advantage isn't the model. It's ownership. Most people rent intelligence month after month. A smaller group buys the hardware once and keeps the leverage. Bookmark this before it is too late👇

Founders keep paying $50K–$500K to build things they could launch in 30 minutes. Built ForgeStack — no-code SaaS builder for people who have ideas but no dev team. forgestack-15.polsia.app

Workflow tools for myself. Going to leverage whatever the model providers put out there and use it well, but there’s a long and steep dev path from here and I’d rather ride that up rather than compete

🚀 Level Up Your AI Security Game with @BAI_AGI! 🔐✨ Tired of API key nightmares? Leaks, hacks, and that heart-dropping “oh no” moment? B.AI just dropped GOLDEN best practices to keep your keys locked down tighter than a vault in a spy movie! 🕵️‍♂️ Let’s dive in 👇 Thread 🧵 1/4 📌 Core Rule: Isolate & Minimize Exposure • One unique API Key per project = one leak doesn’t sink your whole empire! 👑 • NEVER drop keys in frontend code, public repos, docs, or random chats. Your projects deserve their own secret identities! 🦸‍♂️ 2/4 🔄 Daily Superpower Moves: Rotate & Revoke • Swap keys regularly like changing passwords after a wild night out. Fresh = safer! ⚡ • Suspect a leak? Delete that key INSTANTLY and spin up a new one. Zero hesitation. Speed vigilance = unbreakable shield 🛡️ 3/4 👥 Team Vibes: Set Crystal-Clear Rules Multiple devs on one project? Create official protocols for creating, sharing, and handing over keys. No more “who has access?” chaos. Everyone wins when security is a team sport! 🏆 4/4 🚀 Bigger Vision: Building Trust in the Agent Era B.AI isn’t just another AI platform — they’re building the trustworthy foundation for the agent era. Safer keys = more confident building, bolder experiments, and faster AGI progress. 🌍 Huge respect for putting developer peace of mind first ❤️ 👉 Head to b.ai/ right now, grab your secure keys, and start shipping with confidence. Who else is treating API security like a love language? 😂🔥 #BAI #TRONEcoStar @justinsuntron @BAI_AGI

A junior dev pushed one line of code. It cost $180,000 by morning. Here's what happened 👇 He committed an AWS access key to a public GitHub repo. A small mistake, the kind everyone has almost made. A bot scraped it in 47 seconds.Not minutes. Seconds. Public repos are scanned constantly by bots whose entire job is hunting for exposed credentials. By sunrise, that key had spun up crypto-mining instances across multiple regions. The bill: $180K. The uncomfortable part is that the dev did nothing unusual. The system around him had no guardrails. Three things that would have stopped this cold: Secrets never live in code. They live in a secrets manager (AWS Secrets Manager, Vault) and get injected at runtime. Auto-rotation. Even a leaked key is useless if it rotates every few hours. Push-protection scanning. GitHub and tools like gitleaks block the commit before it ever reaches the remote.