Harikesh Singh

🤝 VISITING MY PROFILE? LET'S CONNECT! If you're building something in tech, AI, or SaaS, I'd love to connect with you. 🚀 Founders 🤖 AI & LLM Engineers 💻 SaaS Builders 📈 Marketers & GTM Engineers ⚡ Automation Builders 🌐 Indie Hackers 👇 COMMENT BELOW — SAY HI & LET'S CONNECT! I'll check out your profile, engage with your content, and look forward to learning from each other. Let's grow together on X! 🚀

Your company doesn't have an AI problem. It has a process problem wearing an AI badge. What would you fix first: the workflow, the data, or the people?

What's one tech opinion you believed five years ago that you completely disagree with now? I'll start: more microservices don't automatically mean better architecture.

The best engineer on a team isn't necessarily the person who knows everything. It's often the person who makes everyone around them better.

Your AI chatbot answers every question perfectly in the demo. Production asks one weird question, and suddenly the roadmap becomes a research paper.

"It works on my machine" isn't the end of debugging. It's the beginning of comparing dependencies, configurations, and environments.

Every company wants AI-native employees. Fewer companies give them clean data, clear ownership, and time to experiment.

A flaky test is a tax on every engineer who has to wait for it. Ignore that tax long enough, and it starts charging interest in production.

The most underrated DevOps skill isn't Kubernetes or Terraform. It's explaining a production failure without turning the incident review into a blame hunt.

Grok is useful for challenging ideas and exploring alternatives. Just don't confuse a confident answer with an evidence-backed answer. The same rule applies to humans.

If your RAG system returns a wrong answer, don't blame the LLM immediately. Check the source, chunking, retrieval, ranking, and permissions first.

AI won't magically fix a broken process. It might just help you break it faster and at scale.

My favorite design pattern is still: "Let's jump on a quick call." Runtime: 47 minutes. Output: a follow-up meeting.

Companies ask for a proof of concept, then demand production-grade certainty before anyone can test it. How is anyone supposed to innovate under those rules?

Code review isn't a competition to prove you're smarter than the author. It's a chance to make the code safer for the next person who touches it.

Some companies say, "We value ownership," but mean, "You're responsible even when you have zero authority." That's not ownership. That's accountability without power.

LLM: "I know the answer because I've learned many patterns." NCM: "I know the answer because these specific concepts and relationships led me to it."

If you're in tech, lets connect !!!!

The best alert isn't the loudest one. It's the one that tells you what broke, who is affected, and what to check next.

An LLM can sound confident and still be wrong. A senior engineer can sound uncertain and still save production.

If a deployment needs three people, four tabs, and a ritual in Slack. you don't have a deployment process. You have folklore.