Explores how AI accelerates app development but argues human judgment, taste, and user research remain essential for creating quality, polished products.
Discusses the challenges of managing multiple AI development agents and context-switching in the current 'wild west' of AI tooling.
Explains how to use Git worktrees and AI agent skills to enable parallel coding workflows, allowing multiple AI agents to work on different features simultaneously.
A 4.5-hour interview discussing the state of AI in 2026, covering LLMs, geopolitics, training, open vs. closed models, AGI timelines, and industry implications.
Argues that traditional Scrum methodologies are obsolete for AI-powered development teams, advocating for leaner, more adaptive processes.
A guide on using Google Antigravity to build and customize agents for IBM's watsonx Orchestrate platform, leveraging MCP and AI development tools.
A daily tech reading list covering AI development, MCP servers, ad system architecture, Spring Boot migration, Airflow updates, Kubernetes features, and open-source AI projects.
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.
Explores developer context-switching challenges and workflow changes when integrating AI coding agents like Claude and Gemini into software engineering.
Martin Fowler's blog fragments discuss AI/works™ platform, AI electricity consumption, and the need for rigor in AI-enabled software development.
A developer uses GitHub CoPilot to quickly generate a Blazor application skeleton for an interactive 'HyperVideo' project with AI features.
A 2026 guide for beginners on why and how to start learning C++, covering its relevance in AI, game dev, and systems programming.
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://crawljobs-blogs-media.s3.us-east-1.amazonaws.com/alldevblogs/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.
