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A blog post arguing that strict small-PR 'annealing' policies hinder rapid change, and that AI-driven coding produces big, interconnected changes which sometimes can't be cleanly decomposed into small reviewable steps.
Kent C. Dodds announces an upcoming video on improving personal software development processes, with a focus on adapting tools like AI models for daily problem-solving. John Lindquist shares examples of personal apps built for convenience and agentic features.
Task Monki is a tool that allows users to run coding agents through the full development process.
The article discusses common misconceptions about the true purpose of code review in software development, emphasizing it's more about knowledge sharing and team collaboration than just finding bugs.
Introducing an AI-assisted development workflow that combines OpenSpec (specification and memory management) with Superpowers (design and execution), using TDD and unified context to solve the two biggest pain points in AI development: lack of memory and lack of discipline.
The article critiques the common practice of splitting large changes into many small pull requests (like simulated annealing), arguing it can hinder necessary large-scale changes. It also discusses how AI-driven coding tools enable rapid exploration but introduce risks of incoherence and failure.