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.
A software engineer shares practical strategies for effectively using AI coding agents like Claude Code, emphasizing setup and feedback loops.
Explores practical uses of AI as a 'force multiplier' for software engineers, focusing on prototyping, offloading cognitive load, and first-pass reviews.
Armin Ronacher reflects on 2025 as a transformative year where AI coding agents like Claude Code fundamentally changed his programming workflow and career.
Obie Fernandez reflects on AI coding agents shifting developer focus from writing code to decision-making and intent.
Testing various LLMs to generate a POV-Ray script for a pelican riding a bicycle, comparing results and fixing errors.
A developer shares personal guidelines for effectively using AI coding assistants like Copilot and Claude, emphasizing supervision and small, specific tasks.
A guide on using custom instruction files like copilot-instructions.md to tailor GitHub Copilot's behavior for specific projects and improve code suggestions.
Explores GitHub Copilot's new custom agents feature, detailing how to create specialized AI coding assistants for specific workflows and frameworks.
A guide to improving LLM-generated code quality by using contextual rules and agents to enforce production-ready patterns and architecture.
An analysis of Spec-Driven-Development (SDD), exploring its definition and comparing three tools: Kiro, spec-kit, and Tessl.
A technical guide on implementing real-time streaming for AI-generated content using Apple's Foundation Models and the Streaming API.
Introduces agent-rules, an open-source CLI tool that standardizes security and coding rules across AI coding assistants like GitHub Copilot and Cursor.
Martin Fowler shares thoughts on LLMs in software development, discussing usage workflows, the future of programming, and the AI economic bubble.
A technical guide on using Foundation Models for structured content generation in Swift, including code examples for generating typed AI responses.
Analyzes AI's impact on software engineering, covering developer evolution, skill gaps, productivity myths, and the future of the profession.
Explores the shift from traditional coding to AI prompting in software development, discussing its impact on developer skills and satisfaction.
A developer's six-week retrospective on using Claude Code for software engineering tasks, highlighting transformative productivity gains and new workflows.
A study reveals AI tools like Cursor may slow developers down by 19%, despite their perception of increased productivity.
A comparison of AI coding assistants OpenCode and Claude Code, analyzing their capabilities in managing complex coding workflows and context.
