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Most of us rely on prompting to get the work done through ChatGPT. Even I used to follow this technique until one of my friends taught me how to master Context Engineering. Here's how it works: Prompting vs Context Engineering Prompting is about a

If you use AI to build or ship at work, this will save you time and money. Your AI agent has no real memory. You’re paying for that every day. You fix a brutal bug. Move on. New file, new prompt. The same broken logic appears again. Not because t

Very few people understand, how AI memory works. I've explained in simple below. 𝗦𝗵𝗼𝗿𝘁-𝗧𝗲𝗿𝗺 𝗠𝗲𝗺𝗼𝗿𝘆(𝗦𝗧𝗠) 1. 𝗔𝗰𝗰𝗲𝗽𝘁 𝗶𝗻𝗽𝘂𝘁 –The system receives your message (question/prompt). 2. 𝗕𝗿𝗲𝗮𝗸 𝗶𝗻𝘁𝗼 𝘁𝗼𝗸𝗲𝗻𝘀– Your mes

🚨 BREAKING: Anthropic just dropped the tutorial on "Building AI Agents with Claude Agent SDK" Here's what it covers: > Agent Loop Gather context → Take action → Verify work → Repeat. Your agent searches files, executes tasks, checks its output, t

Hands down the simplest explanation of AI agents using LLMs, memory, and tools. A user sends an input → the system (agent) builds a prompt and may call tools and memory-search (RAG) → agent decides and builds an answer → the answer is returned to th

So, it was my birthday on the 10th July. Few friends came over, and generally during such meet-ups all my memories would have got lost except for a few videos and pics. It used to be polaroids, then smartphone videos gave us more context. But now,

What exactly is Context Engineering in AI? A quick 2-minute simple breakdown for you. 𝗙𝗶𝗿𝘀𝘁, 𝗵𝗼𝘄 𝗶𝘀 𝗶𝘁 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁 𝗳𝗿𝗼𝗺 𝗣𝗿𝗼𝗺𝗽𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴? • 𝗣𝗿𝗼𝗺𝗽𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 = crafting a single clever inp

3 main types of memory used in AI systems. I’ve explained it in a simple way below. 1. 𝗘𝗽𝗶𝘀𝗼𝗱𝗶𝗰 𝗠𝗲𝗺𝗼𝗿𝘆 Episodic Memory is about 𝗿𝗲𝗺𝗲𝗺𝗯𝗲𝗿𝗶𝗻𝗴 𝗽𝗮𝘀𝘁 𝗶𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝗼𝗻𝘀 𝗮𝗻𝗱 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲𝘀. • 𝗡𝗼𝘁𝗶𝗰𝗲 𝗲

Fine-tune vs Prompt vs Context Engineering. Simple step-by-step breakdown for each approach. 𝗙𝗶𝗻𝗲-𝗧𝘂𝗻𝗶𝗻𝗴 (𝗠𝗼𝗱𝗲𝗹-𝗟𝗲𝘃𝗲𝗹 𝗖𝘂𝘀𝘁𝗼𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻) 𝗙𝗹𝗼𝘄: 1. Collect Data → Gather domain-specific info (e.g., legal docs). 2. Sta

Most people don't even know these basics of RAG. I've explained it in a simple way below. 1. 𝗜𝗻𝗱𝗲𝘅𝗶𝗻𝗴 Convert documents into a format that AI can quickly search later. Step-by-step: • 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁: You start with files like PDFs, Word