A developer's call to action to learn AI skills, covering using AI for coding and building AI-powered applications, with practical tips and resources.
A daily tech reading list covering AI agents, MCP, software development, data security, and industry trends.
A framework to help developers evaluate and choose the right AI Agent Skills for their projects, avoiding conflicts and ensuring quality.
A guide to managing context in Gemini CLI, a terminal-native AI development tool, using files, memory, and MCP servers.
A daily tech reading list covering AI coding agents, cloud events, GitOps, cybersecurity, and the latest OpenAI models.
![[Video] Office Hours: Back in the Bahamas Edition](https://allblogs.blob.core.windows.net/alldevblogs/thumbs/article-485d424b228f-full-9ec268b8.webp)
SQL Server expert Brent Ozar answers community questions on database administration, tuning, and AI tools in a video from a cruise ship.
Explores the challenges of getting consistent, reliable answers from AI models like ChatGPT due to prompt sensitivity and hidden variables.
Analyzes PyPI data to see if AI tools have increased software productivity, finding a significant boost in release frequency for new 'AI-native' packages.
A guide to writing effective AGENTS.md files for AI coding agents, based on research data and best practices.
Explains the Ralph Wiggum Loop, a technique for autonomous AI code generation that requires detailed human input and oversight throughout the process.
A guide to using the ccusage tool to track and analyze your Claude Code token usage and cache efficiency from local logs.
StrongDM's AI team describes a 'Software Factory' where AI agents write and test code autonomously, eliminating human coding and review.
StrongDM's AI team describes a 'Software Factory' where AI agents write and test code without human review, exploring fully automated development.
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.
