Vibe Coding for Founders: A Guide to When It Helps vs. Hurts
Vibe coding for founders sounds like a dream. You describe what you want in plain English, and AI writes the code.
Vibe coding for founders sounds like a dream. You describe what you want in plain English, and AI writes the code.
AI tools let founders ship fast. But there’s a point where vibe coding stops working and you need a real engineer. Here’s the honest decision framework.
Product-led growth sounds simple: let the product sell itself. In practice, it requires specific product, team, and market conditions that most blog posts never mention. Here’s what PLG actually demands.
Economic turbulence is not new. This startup playbook for economic uncertainty covers four mistakes founders make and what the ones who came out stronger did differently.
Agentic engineering startups are redefining what it means to ship software. Andrej Karpathy did not just coin a phrase.
AI agents don’t fail dramatically — they lie confidently. The real danger in production isn’t crashes, it’s silent plausible-sounding errors that compound before anyone catches them.
Most SaaS free trials end without converting — not because the product is bad, but because the trial experience fails the user. Here’s what’s actually going wrong and the top fixes.
Forward deployed engineers are the fastest-growing job in enterprise AI. That tells you self-serve SaaS is dead for anything that requires real behavior change.
The AI race is not going to the biggest models. It is going to the most specialized ones. Here is why vertical AI startups have a structural advantage that horizontal platforms cannot easily overcome.
Benchmarks say AI agents can do anything. Production says otherwise. Here are the specific failure modes and a framework for deciding when to trust an agent with real work.
OpenAI acquired Astral, the company behind uv, Ruff, and ty. This puts critical Python infrastructure under AI company control. Here is what developers need to know.
Also, meta reportedly delayed their next flagship AI model, codenamed “Avocado”, after sinking billions into training it. Indeed, the delay is framed as a technical setback.