Quoting Jaana Dogan
A Google engineer shares her experience using Claude Code to rapidly prototype a distributed agent orchestrator, highlighting AI's impact on complex software development.
A Google engineer shares her experience using Claude Code to rapidly prototype a distributed agent orchestrator, highlighting AI's impact on complex software development.
A developer shares their structured workflow for effectively using AI coding assistants like Claude Code, emphasizing planning, clear specs, and critical oversight.
A developer shares advice on job hunting strategies for new graduates, categorizing companies by pay, competition, and interview difficulty.
A critique of alarmist 'you are already behind' tech marketing on social media, arguing for thoughtful adoption over hype-driven pressure.
A guide on when and how to build internal tools for development teams, emphasizing practicality over attachment.
Explores the evolution of AI coding assistants, where developers shift from coding to managing autonomous agents as conductors and orchestrators.
A guide on improving communication in pull requests to enhance code reviews and project understanding.
A retrospective on the growth and community-building efforts of the Python Pescara user group throughout 2025.
The core challenge of programming is translating ambiguous human thought into precise computational logic, not just writing code.
A critique of perpetual 'improved Git integration' in IDEs, arguing developers should learn core Git instead of waiting for tools.
Explores how AI will expand knowledge work by making tasks cheaper, leading to new projects and activities we don't do today.
A review and refinement of the five fundamental pillars of test automation, emphasizing core principles over fleeting tool trends.
A developer's reflection on how AI coding agents, particularly GPT-5 and Codex, have dramatically accelerated software development by handling routine coding tasks.
Explores how AI prompts have evolved from simple text strings into critical, reusable system components with logic, and the challenges this creates.
A developer reflects on the anxiety and impact of using Large Language Models (LLMs) in programming, balancing skepticism with practical utility.
The author compares building a Blue Brixx advent calendar to modern software development, highlighting issues like poor documentation and fragile assemblies.
Explores using .goosehints files and the TODO extension with the Goose AI agent to plan and structure a festival countdown web app project.
A neurodivergent software engineer shares how AI tools like ChatGPT provide a judgment-free space for technical collaboration and problem-solving.
How AI is enabling individuals to build custom software for personal use, replacing paid apps and unlocking new creative potential.
A developer argues against using AI for every problem, highlighting cases where classic programming is simpler and more reliable.