Building an AI-native services company. Would love to connect with founders, agency owners, and industry folks to learn, collaborate, and grow together. #LetsGoX

freelance devs, how are you handling this A client agrees to $8,000 for an app you estimated at 3 weeks. AI helps you finish in 2 days. It works, and they love it. Then they ask for a discount because you used AI. How would you price the next project?

I don’t know if it’s just me, but coding doesn’t feel the same anymore. Earlier, I’d spend hours figuring out a bug, trying different things, and finally making it work. That feeling was something else. Now I just tell an agent what I want, review the code, and move on. I’m building things 10x faster, no doubt. But somehow the excitement isn’t there anymore. AI made coding easier, but did it also take away the fun part? Anyone else feeling this?

Your best customer rebuilds your SaaS’s core feature with an AI coding agent over a weekend. It covers 80% of what they use. They want to renew at one-fifth the price, and you have 6 weeks of runway. What would you actually do before their contract expires?

You’re running a 12-person startup. Your AI assistant reads shared team chats and meeting notes. It predicts your best engineer is about to quit and suggests a retention raise. She hasn’t said anything to you. How would you act on an insight she never chose to share?

Your cofounder runs 500 AI-simulated customer interviews using your product data. Most want feature A. The 8 real customers you spoke to want feature B. You only have budget for one. What would make you trust the simulations over the humans?

An agent without a step limit is a while(true) loop with your credit card. Every run gets: - a max number of steps - a max spend - a timeout - one rule for when it hits any of them: stop and hand it to a person The run that "almost finished" is always the expensive one.

I think agencies are way too casual about asking for referrals. “Know anyone who needs an AI agent?” Sounds like a small favor. But a fractional CTO or consultant introducing an agency to their client is putting their own reputation on the line. If the project goes badly, the agency might lose a contract. The person who made the introduction could damage a relationship they spent years building. And I say this from the agency side. Before asking someone to refer V12 Labs, I think we should be able to explain where we’re genuinely useful, what kinds of projects we’d decline, and what happens when delivery gets complicated. A polished capabilities deck isn’t enough. I’d rather have someone decide we’re the wrong fit than make an introduction they later regret.

A friend(engineer) recently left a startup. The founder got really excited about AI coding and ended up breaking an app that had been built, tested, and running for over a year. AI makes it ridiculously easy to change code. But does it also make people dangerously confident about code they don’t understand?

A developer spends 3 hours debugging something. Claude fixes it in 30 seconds. Everyone celebrates the productivity gain. But the developer still doesn't understand what went wrong. At what point does getting things done stop being the same as getting better at your job?

You’re a startup founder. Your AI-generated demo looks like a finished product. A customer offers $20k to deploy it next month. Your engineer says the real version needs six months. What exactly do you tell the customer before taking their money?

You’re running a SaaS. Your AI support agent promises a feature you haven’t built. A customer renews for $20,000 because of it. Building it delays everyone else’s roadmap by 2 months. How would you handle the promise?

You’re hiring two developers. One has 10 years of experience but barely uses AI. The other has 2 years of experience and ships 3x faster with AI. Both produce equally good code. Who gets the offer, and why?

If Codex and Claude Code are supposedly the most powerful AI coding tools, why are people still choosing Replit, Lovable, and Emergent?

What’s your first move when someone clones your startup overnight and somehow gives it a better landing page?

me after claude finally fixes the bug it introduced 20 prompts ago:

What’s the biggest lie people tell themselves when building a startup?

What’s one thing AI made you worse at?

You’re interviewing a developer. They finish your take-home assignment using Claude Code. Every test passes. They wrote almost none of the code. What’s the next question you ask before deciding whether to hire them?

Before you blame the model, read the input it got. Most "the agent is dumb" bugs I've chased were the agent being handed a stale record, a truncated doc, or last week's prompt. Log the exact input on every run. Most mysteries end there.