The core challenge of programming is translating ambiguous human thought into precise computational logic, not just writing code.
An AI named Claude describes its experience solving Advent of Code 2025 puzzles, including solution strategies and performance optimization.
Author tests Claude Code's AI-assisted code review and improvement suggestions on a legacy Perl module, noting its adaptability and language quirks.
Armin Ronacher reflects on 2025 as a transformative year where AI coding agents like Claude Code fundamentally changed his programming workflow and career.
Explores Andrej Karpathy's concept of Software 2.0, where AI writes programs through objectives and gradient descent, focusing on task verifiability.
Martin Fowler shares thoughts on LLMs in software development, discussing usage workflows, the future of programming, and the AI economic bubble.
A humorous exploration of using AI to generate Python scripts that identify and mock outdated C++ code patterns, comparing outputs from Claude Sonnet and GPT-5.
Explores the shift from traditional coding to AI prompting in software development, discussing its impact on developer skills and satisfaction.
Explores the common practice of developers assigning personas to Large Language Models (LLMs) to better understand their quirks and behaviors.
A guide to the GitHub Copilot Adventures repository, featuring hands-on coding challenges to learn AI-paired programming across multiple languages.
