Most engineers learn AI from theory. Top engineers learn it from building. Join the AI Engineering Bootcamp — learn by creating real-world AI systems, not just reading about them. 🚀 Start building → learnwithparam.com/ai-engineering…

Every AI product release is like ‘why rely on your dumb human brain for things, when AI can do it for you, you stupid idiot.’ $100 billion funding round.

Leave aside AI automation, but pure pure python based automation can do many things, - Rename 1000 files in seconds - Auto-send emails & reports - Scrape data from websites - Clean messy CSV/Sheets Before jumping to AI solutions, try to explore proven solutions too

Any best unified library to connect to any LLM providers without changing your business logic? Which open source does that and what worked well for you, please suggest. It is one of my bootcamp students question. So far, I used openAI compatible APIs and Gemini directly

Certifications get you interviews. Shipped projects get you hired. But if you're going to collect paper while building, at least collect the right paper. What are you shipping this week?

The best CEOs are former engineers who learned to talk to humans.

My dear X, Find software engineers learning AI and make my bootcamp visible to thousands everyday if not millions learnwithparam.com/ai-engineering…

Popular opinion: The best AI founders aren’t prompt engineers. They’re storytellers with a GPU bill.

Build AI Agents once in Python and access them from any language. RunAgent lets you create agents with LangChain, CrewAI or Agno, then use them in TypeScript, Rust or Go without rewriting code.

Transform any document into LLM-ready data for AI agents + RAG apps — with just 3 lines of Python code. Fully open source, no shortcuts. If you’re building real AI systems, this is a huge time-saver. 🔗 github.com/docling-projec…

Agentic Design Pattern 101 Coordinator Dispatcher Agent Pattern

Google is the nuclear arsenal. They invented the TPU that OpenAI uses; they've been working on AGI via DeepMind for 15 years. They have a cloud datacenter and have started charging rent to OpenAI. They're the only global B2B compliance-capable solution for Enterprise.

My money is on Google winning the AI race. They have more high-skilled manpower, and the multimoda data to get there.

Used antigravity to create a similar web app and it opens the browsers to read the dom. Google seems to be going truly all-in with antigravity, I believe, even with current version that they can able to to take their google workspace customers with them.

Copyrighting for open source code need to evolve for AI generation. Now a code can be inspired yet completely different from original source to avoid any copyright implications easily with latest AI like gemini 3.0 pro.

I use AI a lot. But the first thing I’m doing when this app makes money? Hiring people. Doing everything yourself still sucks — AI doesn’t change that.