Explains how to improve AI coding agent results by providing project context via an AGENTS.md file.
Explores context engineering for AI coding agents, covering configuration features, reusable prompts, and tools like Claude Code to improve developer experience.
Explores how AI coding agents impact internal code quality, using a case study of adding GitLab support to a Swift app.
A developer compares the workflow and experience of using Claude Code vs Cursor AI coding assistants, focusing on their distinct strengths in exploration and convergence.
Explores the evolution of AI coding assistants, where developers shift from coding to managing autonomous agents as conductors and orchestrators.
Kent Beck discusses how AI coding assistants accelerate learning for junior developers, improving their productivity and making them better hires.
Explores why coding is just one component of software engineering, highlighting system design, architecture, and the role of AI tools.
Explores five key pillars for optimizing AI-powered agentic coding workflows, including system instructions and spec-driven development.
A comparison of AI coding assistants OpenCode and Claude Code, analyzing their capabilities in managing complex coding workflows and context.
A developer explores the limitations of AI coding assistants like Cursor and ChatGPT, highlighting their 'bias towards helpfulness' compared to human feedback.
