For years, web agents have worked one click at a time—and often fallen apart on long tasks. Microsoft Research’s Webwright makes a different bet: give the model a terminal and let it write the program instead. On long-horizon tasks, the same GPT-5.4 model jumps from 33.5% to 60.1% success. And instead of leaving behind a click trace, it leaves something you can actually use again: a command-line tool.

The post Webwright: Why AI Web Agents Should Write Code, Not Click appeared first on Towards Data Science.

How autonomous agents broke two decades of capacity planning — and what to build instead

The post Three Generations of Autoscaling — And Why Agentic Traffic Breaks All of Them appeared first on Towards Data Science.

Become a more productive software engineer with LLMs

The post How to Perform Effective Project Management with AI appeared first on Towards Data Science.

Enterprise Document Intelligence [Vol.1 #13bis] - The four bricks return useful results most of the time. Loop engineering is what the system does the rest of the time: when retrieval misses, when generation fails the schema, when the listing comes back incomplete, when an API call times out. Three control surfaces (trigger, termination, recovery) and one rule that separates a useful loop from a spinning one

The post Loop Engineering for RAG: The Small Loops Inside Each Step, the Big Loops Across the Pipeline appeared first on Towards Data Science.

RAG Retrieves, It Never Remembers. A vendor-neutral blueprint for applications that accumulate understanding. Includes a complete Azure-native implementation (Microsoft Foundry, Azure AI Search, Cosmos DB, FastAPI) mapped to a property-insurance corpus. 

The post Designing a Persistent Knowledge Layer That Refuses to Guess appeared first on Towards Data Science.

A small experiment in remote SQL execution

The post Running SQL Concurrently Across Three Remote DuckDB Servers with Quack appeared first on Towards Data Science.

Two open problems, exact-arithmetic checking and a proof assistant, over a single weekend.

The post Mathematical Experiments Are Becoming Abundant Through Human-Machine Teaming appeared first on Towards Data Science.

Here's how to be the Data Scientist who thrives in a world where coding is a commodity.

The post How to Shine as a Data Scientist in the Vibe Coding Era appeared first on Towards Data Science.

How AI has massively changed my day-to-day workflow

The post A Day in the Life of a Data Scientist in 2026 appeared first on Towards Data Science.

Enterprise Document Intelligence [Vol.1 #13] - Putting the patterns together, and why this is what “agentic RAG” should look like

The post RAG Workflow and Loop Engineering: The Dispatcher That Decides When to Loop and When to Stop appeared first on Towards Data Science.

A preprocessing pipeline let my car price model peek at the test set before the exam, and the twelve points of R squared it cheated its way to

The post My Model Was Cheating on Its Own Test appeared first on Towards Data Science.

Can a language model do live adversarial level design? Yes, emphasis on the adversarial part

The post I Made an LLM Lay Siege to My Minecraft House appeared first on Towards Data Science.

Google's Open Knowledge Format (OKF) is a Markdown+YAML skeleton for sharing knowledge between humans and AI agents. This post reuses that skeleton for a very specific job — an agent-to-agent hand-off of pre-tokenized integer arrays between three Qwen2.5-Coder models (7B, 3B, 1.5B) — and shows the 28–37% TTFT reduction plus the one full-vocabulary equivalence check that keeps the whole thing safe.

The post How to Utilize OKF Efficiently to Enable Knowledge Exchange Among LLMs appeared first on Towards Data Science.

Enterprise Document Intelligence [Vol.1 #9ter] - The pipeline from Article 9 calls a model at several steps to be sure it is right. On easy questions that is needless latency. A per-question signal routes them past the model, about two seconds saved for a keyword match.

The post Cut an Enterprise RAG Pipeline’s Latency and Cost by Calling the LLM Less, Not by Buying a Faster Model appeared first on Towards Data Science.

Learn how to run OpenClaw bots for increased productivity

The post How to Orchestrate a Fleet of OpenClaw Bots appeared first on Towards Data Science.

A practical guide to choose the proper tool for your agentic workflows and systems

The post LangChain vs LangGraph: 4 Key Differences and When to Use Each appeared first on Towards Data Science.

Enterprise Document Intelligence [Vol.1 #5nonies] - Nature, plan, execute, synthesize: closing brick 1 with a dispatcher that reads each PDF’s nature and picks the method that fits, fitz, Docling, PaddleOCR, EasyOCR, MinerU or Surya, then folds the outputs into one corpus

The post Before Full Agentic RAG: Know How You Decide, and the Parsing Methods You Pick From appeared first on Towards Data Science.

From one gradient to every gradient

The post Backpropagation Explained for Beginners (Part 3): How Backpropagation Really Works appeared first on Towards Data Science.

Image inputs and structured outputs with Gemma 4 and Ollama

The post Building Multimodal Workflows with a Local LLM appeared first on Towards Data Science.