Context Engineering: The Art of Giving Your LLM Just Enough
Author(s): Aunkit Chaki Originally published on Towards AI. If you have spent any time around AI lately, you have probably run into the term context engineering. Some people are calling it the natural evolution of prompt engineering. Others are treating it like …
Vibe Coding Has a Ceiling. Cadence Is the Floor
Author(s): Suraj Pandey Originally published on Towards AI. Vibe Coding Has a Ceiling. Cadence Is the Floor There’s a specific moment every team hits with AI coding assistants. The first few weeks feel like magic — features that took days now take …
OpenAI Will Cut Cursor: Why ?
Author(s): allglenn Originally published on Towards AI. Until November 12 the picker still has GPT. After that you bring a key or you leave. For most of the last two years, AI labs behaved like they were building a commons. Ship a …
15 AI Concepts That Actually Explain How Modern AI Works
Author(s): Rimsha Kiran Originally published on Towards AI. A no-jargon guide to the ideas behind ChatGPT, Claude, and everything else If you’ve ever tried to learn how AI actually works, you’ve probably hit a wall of buzzwords: tokens, embeddings, fine-tuning, RAG, thrown …
I KNOW what OX Alpha is. And here’s how I know it
Author(s): Kashif Mehmood Originally published on Towards AI. The behavioural test everyone uses to unmask anonymous models is worthless. The arithmetic underneath it costs one cent and cannot be faked On 21 August 2026, I asked an anonymous model on OpenRouter what …
AI Economics: What It Actually Costs to Run AI and How to Manage It?
Author(s): Abhishek Ankush Originally published on Towards AI. AI Economics: What It Actually Costs to Run AI and How to Manage It? Everyone’s talking about what AI can do. Fewer people are asking what it costs to actually do it—and once you …
Why Production RAG Needs More Than Vector Search
Author(s): Dave R – Microsoft Azure & AI MVP☁️ Originally published on Towards AI. How hybrid search, graph retrieval, agents, and evaluation turn a basic RAG pipeline into a production architecture. My RAG prototype looked complete: ingest documents, create embeddings, store vectors, …
Qwen-UI-Agent Promises Bash. The Repo You Can Download Ships 12 Actions and No Shell.
Author(s): Chew Loong Nian – AI ENGINEER Originally published on Towards AI. Alibaba’s new GUI agent posts scores on seven benchmarks on paper. I counted every action in the code they actually published: 12, every one a screen gesture or a bookkeeping …
Part 1: Retrieval-Augmented Generation (RAG) from First Principles: What, Why, and How It Evolved
Author(s): Raj kumar Originally published on Towards AI. Build the complete mental model of Retrieval-Augmented Generation before writing a single line of code. Learn why RAG exists, how it evolved from naive pipelines to agentic systems, and where it fits in modern …
Reviewing More Than Code: How Ephemeral Environments Improved our PR Workflow
Author(s): Leapfrog Technology Originally published on Towards AI. We’ve all reviewed pull requests that looked perfectly fine in the diff, only to discover later that the application behaved differently. The reality is that reviewing code alone isn’t enough. Before merging, we still …
7 AI Agent Concepts Every AI Developer Must Master
Author(s): Divy Yadav Originally published on Towards AI. Everyone obsesses over which model to pick. The real engineering happens somewhere else entirely, and almost nobody talks about it. I watched Claude write a script, run it, hit an error, read that error, …
What Does Stripe Want With OpenRouter?
Author(s): Nikki Originally published on Towards AI. I couldn’t see the connection at first. Then I started looking at how AI usage, routing, and billing are beginning to overlap. When I saw the news that Stripe had agreed to acquire OpenRouter, I …
I Tried to Run Qwen3.8–27B on a 16GB Mac Mini with AirLLM. Here’s Exactly Where It Breaks
Author(s): Abhishek Gautam Originally published on Towards AI. The claim, and why it’s seductive AirLLM promises 70B models on a 4GB GPU. Its README even lists Qwen3.8–27B at 3.33GB. So why can’t a Mac Mini M4 with 16GB of unified memory run …
Your AI Agent Doesn’t Need a Vector Database
Author(s): Anubhav Originally published on Towards AI. A folder of text files and grep outscored the funded memory tools on their own benchmark. When to skip the vector database for agent memory, and the narrow case where you actually need one. The …
How to Get the Most Out of Claude Fable 5
Author(s): Eivind Kjosbakken Originally published on Towards AI. How to Get the Most Out of Claude Fable 5 Claude Fable 5 was released around a month ago and then, after three days, was pulled from the public because of security concerns. However, …
Recent Posts
