A daily tech reading list covering AI code generation, open source ecosystems, enterprise patching, AI agents, and productivity metrics.
A developer shares a workflow trick: using AI bots to fix code in pull requests instead of leaving comments, speeding up reviews and shipping code faster.
A developer shares how AI now writes 97% of their production code, detailing workflow changes and lessons learned from using Cursor agents.
GitHub Copilot Rubber Duck uses a second AI model to review code plans, catching subtle errors in multi-file tasks.
Explores how AI coding agents shift programming from craft to high-level oversight, diminishing the art of detailed code.
A software developer's monthly update on his book 'Refactoring English,' covering reader demographics, sales metrics, and personal goals.
AI-assisted coding reveals a long-standing divide between developers who prioritize craft and those focused on results.
AI-assisted coding reveals a philosophical divide between developers who prioritize craft and those focused on results.
Explores how AI-generated code overwhelms traditional peer review processes, highlighting existing flaws and proposing deeper evaluation methods.
Explores the two distinct uses of AI-assisted coding: professional developer acceleration and 'vibe coding' for rapid prototyping, and the implications for the industry.
A comprehensive guide exploring the taxonomy, tools, and best practices for using AI-assisted coding tools in modern software development.
A guide to implementing effective AI-assisted coding workflows using Claude Code, focusing on best practices for larger, collaborative projects.
Martin Fowler's blog fragments on LLM browser security, AI-assisted coding debates, and the literary significance of the Doonesbury comic strip.
A Thoughtworks engineer explores the nuanced risk assessment required when using AI to generate code, moving beyond a simple 'good or bad' debate.
