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 …
How to Perform Large Code Refactors in Cursor
Author(s): Eivind Kjosbakken Originally published on Towards AI. Learn how to perform code refactoring with LLMs Refactoring code has historically been a tedious yet important task. Refactoring is the work of taking some piece of code and cleaning it up, either by …
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 …
Training AI to Predict Clinical Trial Outcomes: A 30% Improvement in 3 Hours
Author(s): 3rdSon Originally published on Towards AI. Predicting whether a clinical trial will succeed or fail is notoriously difficult. Even experienced pharmaceutical analysts struggle with accuracy rates much better than a coin flip. But what if we could train an AI model …
Building a Simple SQL Query Generator Using LLMs
Author(s): Sainath Udata Originally published on Towards AI. Writing SQL is an art, but not everyone enjoys the canvas. For many, the syntax of a complex JOIN or a nested subquery is a barrier to getting the data they need. In our …
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 …
Top 20 Anomaly Detection Interview Questions and Answers (Part 2 of 2)
Author(s): Shahidullah Kawsar Originally published on Towards AI. Machine Learning Interview Preparation Part 27 Anomaly detection is the practice of identifying patterns in data that deviate from expected behavior. In an era where systems generate massive volumes of real-time data, detecting anomalies …
How I Used Sarvam AI’s Free API to Clone My Friend
Author(s): Shashwat Originally published on Towards AI. Why spend $20 on OpenAI when you can build a hyper-local, Hinglish-speaking roast bot for ₹0 using India’s newest LLM? This morning, I was staring at a Kubernetes deployment where the helm kept reconciling (brb, …
The 6 Essential Prompt Engineering Techniques: How to Get 10× Better Results from the Same LLM
Author(s): TANVEER MUSTAFA Originally published on Towards AI. Understanding Zero-Shot, Few-Shot, Chain-of-Thought, Self-Consistency, Tree of Thoughts, and ReAct You ask an LLM to analyze market trends. It gives a vague, generic response. Your colleague asks the same model with a different prompt …
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 …
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