Introducing pydantic-ai-skills: Composable Agent Skills for the Pydantic AI Ecosystem
Author(s): Douglas Trajano Originally published on Towards AI. Give your AI agents superpowers — without bloating their context window. The Agentic AI landscape is evolving fast. We went from simple chatbots to autonomous systems that plan, reason, and execute multi-step workflows. But …
Agentic RAG & Semantic Caching: Building Smarter Enterprise Knowledge Systems
Author(s): Utkarsh Mittal Originally published on Towards AI. Section 1: The Rise (and Limitations) of RAG Enterprise data is messy. It lives in Slack threads, Google Drive folders, SharePoint libraries, spreadsheets buried three levels deep in someone’s OneDrive, and meeting transcripts that …
GABBE: The Cognitive Engineering Platform That Transforms AI Coding Agents Into Engineering Teams
Author(s): Andrei Besleaga (Nicolae) Originally published on Towards AI. A deep dive into the open-source kit that gives AI assistant agents a mind, a memory, and a “conscience”. “The agent is the engine. You are the steering wheel.” The Problem Nobody Talks …
The Anthropic Shockwave: Why Claude Code Security Just Nuked Cybersecurity Stocks
Author(s): Mandar Karhade, MD. PhD. Originally published on Towards AI. When an AI model does in minutes what human researchers couldn’t do in decades, the market doesn’t just notice: it panics. Here is the nuclear option nobody in Silicon Valley wanted to …
Cutting Batch Release from 14 Days to 3: A Case Study in Multi-Agent AI for Pharmaceutical Manufacturing
Author(s): Saif Ali Kheraj Originally published on Towards AI. How agentic AI architectures can compress decision cycles in regulated manufacturing with a practical implementation blueprint using CrewAI. Every contract pharmaceutical manufacturer faces the same operational bottleneck. After a medicine batch completes production …
JSON Tool Calling Is Dead. Here’s What Replaces It
Author(s): MKWriteshere Originally published on Towards AI. Anthropic just made code-based tool orchestration the default path forward. Hugging Face saw this coming in December 2024. Here’s a pattern you’ll notice if you watch the AI industry closely enough: the open-source community figures …
You probably don’t need a Vector Database (Yet) for your RAG
Author(s): Thomas Reid Originally published on Towards AI. Numpy and/or SciKit-Learn might meet all your retrieval needs Right now, off the back of Retrieval Augmented Generation (RAG), vector databases are getting a lot of attention in the AI world. Image by Nano …
OpenClaw Architecture Deep Dive: Building Production-Ready AI Agents from Scratch
Author(s): Know-Island Originally published on Towards AI. Dissecting the agent framework that hit 100K GitHub stars in a week — and had 400+ malicious plugins. Architecture patterns for building agents that actually work. OpenClaw went from zero to 100,000 GitHub stars in …
The 4 AI Safety Alignment Approaches: How to Build AI That Won’t Lie, Harm, or Manipulate
Author(s): TANVEER MUSTAFA Originally published on Towards AI. Understanding RLHF, Constitutional AI, Red Teaming, and Value Learning You ask ChatGPT how to make a bomb. It refuses. You ask it to write a racist joke. It declines. You try jailbreaking it with …
Context Engineering: The 6 Techniques That Actually Matter in 2026 ( A Comprehensive Guide )
Author(s): Divy Yadav Originally published on Towards AI. Prompt engineering is dead. Context engineering is how production systems work now. Your RAG system returns perfect chunks. Your prompt is beautifully crafted But The LLM still hallucinates. Photo by AuthorThe article discusses the …
AI Transforms Data Quality Engineering for Modern Enterprise
Author(s): Valentin Podkamennyi Originally published on Towards AI. Explore how AI-augmented data quality engineering is revolutionizing enterprise data platforms by shifting from rule-based to self-learning systems. Modern enterprise data platforms are characterized by their petabyte scale, the ingestion of fully unstructured data …
LAI #115: The Hidden Cost of “Agent-First” Thinking
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! AI is getting embedded into real workflows: repos, data platforms, enterprise search, and production infrastructure. And as that happens, a pattern is showing up everywhere: the biggest failures …
Google’s Gemini Finally Learns to Sing with Lyria 3
Author(s): Mandar Karhade, MD. PhD. Originally published on Towards AI. DeepMind Lyrica 3 + Gemini = bringing high-fidelity audio generation to the masses; Queue the ethical questions. Google has officially integrated its Lyria 3 model into the Gemini app. Another day another …
I Built a Full-Stack SaaS Using Only AI — Here’s What Actually Worked (And What Didn’t)
Author(s): Anand Panchal Originally published on Towards AI. A 30-day experiment with GitHub Copilot, Cursor, and Claude Code Well, not literally — but I challenged myself to build a complete full-stack application using only AI coding assistants: GitHub Copilot, Cursor, and Claude …
101 ML/LLM/Agentic AIOPS Interview Questions.
Author(s): Niraj Kumar Originally published on Towards AI. Image by Author Section 1: Technical & Hands-On (ML/AI & MLOps) These questions test your foundational knowledge of MLOps, regardless of the cloud platform. 1. Describe the most complex ML project you’ve taken from …
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