Git worktrees, a feature available since Git 2.5 (2015), have become essential infrastructure for AI development workflows in 2025-2026 by allowing multiple isolated working directories from a single …
Microsoft, Hugging Face, Anthropic, and Google have released free resources on agentic AI, including a 15-lesson GitHub course, a hands-on framework-comparative course, a short engineering guide, a ri…
Pi, a coding agent built by Mario Zechner and acquired by Earendil Inc., deliberately omits features like MCP support, sub-agents, and plan mode that competitors emphasize, instead offering only four …
A KDnuggets article lists 10 YouTube channels for AI engineers, organized into categories covering research, practical building, core concepts, and industry analysis. Featured channels include Two Min…
Seven Python frameworks for orchestrating local AI agents are gaining adoption in 2026, according to a technical roundup. Ollama, a lightweight runtime for running open-source LLMs on local hardware, …
Google released Conductor, a Gemini CLI extension in preview on December 17, 2025, that introduces Context-Driven Development (CDD) to fix context problems in AI-assisted coding by managing project co…
A new guide outlines 12 practical strategies for reducing latency and inference costs of large language models (LLMs) in production, emphasizing that most gains come from eliminating unnecessary work …
Outlines, an open-source library, introduces deterministic certainty into large language model output generation to produce reliable structured outputs such as JSON objects and classification results.…
Fine-tuning adapts a pretrained large language model to a specific task using task-specific data, building on the general language understanding learned during pretraining. Pretraining teaches a model…
OpenClaw, a personal AI assistant created by Peter Steinberger, bridges local Ollama models to messaging apps like Telegram, WhatsApp, and Slack, enabling private, hardware-based AI interactions. The …
A comparison of SQL, Pandas, and AI agents on three analytics interview questions found SQL fastest and most reliable, while AI agents offered natural language convenience but higher latency and hallu…
A machine learning practitioner explains 10 essential probability concepts that underpin model decision-making, including random variables, probability distributions, and expectation, emphasizing that…
Data scientists at companies running AI in production are shifting from building models to managing AI systems, according to 2025-2026 job data from LinkedIn, Lightcast, and Gartner. The role now focu…
Hugging Face released ML Intern, an open-source CLI agent that automates machine learning tasks such as fine-tuning models, exploring research papers, and launching GPU training jobs. The tool uses th…
Small language models (SLMs) are increasingly powering next-generation AI agents, challenging the assumption that larger models are always better. NVIDIA research shows SLMs excel at repetitive, speci…
Anthropic released a guide for developers to get started with the Claude API in Python, covering installation, first API calls, response handling, and streaming. The guide uses the official Python SDK…
LangGraph, CrewAI, and OpenAI Agents SDK are among 10 agentic AI frameworks highlighted for 2026, offering developers tools for state management, multi-agent workflows, and tool integration. The list,…
The Center for AI Safety, with world experts, created Humanity's Last Exam (HLE), a benchmark of over 2,500 expert-level questions across disciplines to test AI reasoning. Even top models like GPT, Ge…
Five AI coding platforms—Lovable, v0 by Vercel, and others—enable non-technical users to build, test, and deploy full-stack apps using plain English prompts, removing setup and hosting complexities. T…
Anthropic's Model Context Protocol (MCP) enables universal tool connectivity for AI agents, and Qwen3.6-35B-A3B, a Mixture of Experts model with 262k-token context, is optimized for MCP-based agentic …