Engineering Blog

Agentic AI

From Prompting to Autonomy: 10 GitHub Repos to Master AI Agents

From Prompting to Autonomy: 10 GitHub Repos to Master AI Agents

The transition from simple LLM chatting to building autonomous AI agents is the biggest shift in software engineering today. While the field moves fast, these 10 repositories represent the “Gold Standard” of learning resources, offering everything from foundational math to production-grade deployment patterns. Foundations and Frameworks 1. Hands-On Large Language Models The Deep Dive: This…

AWS Introduces Strands Agents: A Model-Driven Revolution in Building Robust AI Agents

AWS Introduces Strands Agents: A Model-Driven Revolution in Building Robust AI Agents

In the rapidly evolving world of AI agents, developers often face a familiar frustration: what begins as a simple goal quickly spirals into complex prompt engineering, custom routing logic, intricate error handling, tool orchestration, and brittle fallback mechanisms. One unexpected user input can cause the entire system to collapse. AWS is changing this paradigm with…

Anthropic Donates Model Context Protocol and Launches Agentic AI Foundation: A Step Toward Open AI Standards

Anthropic Donates Model Context Protocol and Launches Agentic AI Foundation: A Step Toward Open AI Standards

In a significant move for the AI ecosystem, Anthropic — the company behind the Claude family of large language models — has announced the donation of its Model Context Protocol (MCP) to the public domain and the establishment of the Agentic AI Foundation. This development signals a push toward greater interoperability, standardization, and collaborative progress…

Mastering Agent Development: How LangSmith Simplifies Building Reliable AI Agents

Mastering Agent Development: How LangSmith Simplifies Building Reliable AI Agents

In the rapidly evolving world of AI, building autonomous agents powered by large language models (LLMs) promises immense potential—but it comes with significant challenges. Understanding how agents behave, why they make certain decisions, and how to ensure consistent quality isn’t straightforward. Non-deterministic outputs, complex tool calls, and unexpected edge cases can turn promising prototypes into…

Level Up Your GPU Game: Mastering Advanced CUDA Features in 2026

Level Up Your GPU Game: Mastering Advanced CUDA Features in 2026

NVIDIA’s CUDA platform continues to dominate GPU-accelerated computing, powering everything from AI training and inference to scientific simulations and real-time graphics. With the release of CUDA Toolkit 13.1 in late 2025, the ecosystem has seen significant advancements, including the groundbreaking CUDA Tile (cuTile Python) for higher-level tile-based programming. However, core advanced features like Unified Memory,…

Beyond Tool Chaining: Why Code Execution is the Future of AI Agents

Beyond Tool Chaining: Why Code Execution is the Future of AI Agents

In the year since the Model Context Protocol (MCP) launched, it has rapidly become the industry standard for connecting AI agents to the world. We’ve seen a massive shift from fragmented, custom integrations to a universal ecosystem where developers “implement once” to unlock thousands of tools. However, as agents grow more sophisticated, they are hitting…

Open-Source Programmatic Tool Calling: LangChain Community Brings Anthropic’s Efficient Agent Pattern to Everyone

In late 2024, Anthropic introduced a groundbreaking approach to AI agent tool calling in their engineering blog: Programmatic Tool Calling (PTC) using code execution with the Model Context Protocol (MCP). This method allows agents to write and execute code in a sandbox to orchestrate tools, dramatically reducing token usage—up to 98% savings on data-intensive tasks—by…

Agents in the Driver’s Seat: A Deep Dive into Google Antigravity’s Capabilities

Agents in the Driver’s Seat: A Deep Dive into Google Antigravity’s Capabilities

Google Antigravity: Revolutionizing Software Development with Agentic AI On November 18, 2025, Google launched Antigravity, a groundbreaking agentic development platform designed to transform the way developers build, test, and verify software. Powered by Google’s latest AI model Gemini 3, Antigravity is positioned as an evolution of the traditional IDE into an agent-first environment, where intelligent…

From Language Models to Reinforcement Learning: Hugging Face’s 9 Free AI Courses Revealed

From Language Models to Reinforcement Learning: Hugging Face’s 9 Free AI Courses Revealed

Unlock the Power of AI with 9 Free Hugging Face Courses: From LLMs to Diffusion Models As artificial intelligence rapidly evolves, continuous learning becomes essential for professionals ranging from developers to data scientists and researchers. Hugging Face, a pioneer in democratizing machine learning tools, offers an impressive suite of free courses designed to help you…

How AI Agents are Revolutionizing Automation: A Beginner’s Perspective

How AI Agents are Revolutionizing Automation: A Beginner’s Perspective

Understanding AI Agents: The Future of Autonomous Digital Intelligence Artificial Intelligence (AI) has reached a pivotal milestone with the advent of AI agents—autonomous, intelligent systems capable of understanding, planning, and executing complex tasks on behalf of users. These AI agents are transforming how businesses operate, from automating repetitive workflows to providing sophisticated decision support across…