A guide on using Google Antigravity to build and customize agents for IBM's watsonx Orchestrate platform, leveraging MCP and AI development tools.
Explores industry adoption of context engineering standards like AGENTS.md and MCP, showing how they reduce AI development costs and improve workflows.
Introduces context engineering as a superior alternative to prompt engineering for AI coding assistants, enabling them to understand your codebase for consistent, high-quality results.
A developer details using their own tool, AI DevKit, to build its features, exploring how to make AI coding more predictable and efficient.
Martin Fowler's blog fragments discuss AI/works™ platform, AI electricity consumption, and the need for rigor in AI-enabled software development.
A guide to building AI agents using the Gemini Interactions API, covering core concepts and a step-by-step CLI implementation.
A daily roundup of links covering .NET, JavaScript, AI, web development, VS Code updates, and tech industry news from January 13, 2026.
A call to critically review and update your core assumptions about AI's capabilities, risks, and applications in development and strategy.
A developer reflects on AI agent architectures, context management, and the industry's overemphasis on model development vs. building applications.
![Handing over to the AI for a day [blog]](https://alldevblogs.blob.core.windows.net/thumbs/article-0f6a1d5ed8f9-full-87a279d1.webp)
A developer's personal experiment with AI-driven software development using local LLMs, detailing setup, challenges, and initial impressions.
A developer's journey to understanding AI agents and the Model Context Protocol (MCP), moving beyond traditional data pipeline thinking.
Best practices and structural patterns for effectively prompting the Gemini 3 AI model, focusing on directness, logic, and clear instruction.
Ethan Mollick reflects on AI's rapid evolution from chatbots to digital coworkers, highlighting the changing role of human oversight.
Highlights from GitHub Universe 2025, focusing on AI-driven development, Agent HQ, and new tools reshaping how developers build software.
A developer discusses why AI matters, addressing common fears of hype and job loss while highlighting real productivity benefits for software engineers.
Analysis of the rising prominence of Chinese AI labs like DeepSeek and Kimi in the global AI landscape and their rapid technological advancements.
Explores the potential of Claude Skills, a new feature from Anthropic that uses markdown files to create deterministic, scriptable AI tools within Claude's ecosystem.
A technical guide on implementing real-time streaming for AI-generated content using Apple's Foundation Models and the Streaming API.
A technical guide on using Foundation Models for structured content generation in Swift, including code examples for generating typed AI responses.
A developer shares their current AI-powered coding workflow, detailing tools like Ghostty, Claude, and GPT-5 for maximum productivity.
