Quoting Laurie Voss
Laurie Voss argues that as coding costs collapse, product engineering—defining what users want and making software pleasant—becomes the core job.
Laurie Voss argues that as coding costs collapse, product engineering—defining what users want and making software pleasant—becomes the core job.
A software engineer's reflection on overcoming the existential crisis caused by AI coding agents and adapting to change.
A developer shares their experience of being let go from a tech company, discussing AI's impact on productivity and the realities of contract termination.
AI accelerates software development, shifting bottleneck from building to deciding which solutions to adopt, risking fragmentation.
Platform engineering is now a CEO-level strategy for boosting business throughput by reducing engineering friction and accelerating software delivery.
A developer reflects on AI coding tools shifting their role from coder to curator, exploring the future of software engineering.
Analysis of Cursor's AI coding usage data, showing power users generate 10x more code and input tokens dominate costs.
Analysis of Cursor's AI coding usage data, revealing power users generate 10x more code and input tokens dominate costs.
Introduces a new open-source agentic skill for IBM watsonx Orchestrate, boosting developer productivity in creating, extending, and debugging agentic applications.
A curated daily reading list covering AI coding agents, Bigtable history, prototyping speed, design patterns, and tech industry trends.
Analysis of flawed AI productivity metrics, historical automation parallels, and open vs closed AI model performance trends.
Explores the 'orchestration tax' in AI agent workflows, comparing human cognitive limits to concurrent system bottlenecks.
An article arguing that speed in software engineering leads to better learning, decision-making, and overall effectiveness.
Explores how AI changes the definition of a 10x engineer, shifting focus from writing more code to higher-impact decisions and judgment.
Explores how AI boosts coding speed but highlights alignment as the true bottleneck in software development.
A developer shares personal experiences with AI coding agents, noting significant improvements in capability and efficiency, while discussing limitations and best practices.
An analysis of how AI is transforming software development, shifting focus from building to planning and judgment.
Analysis of how slow code reviews silently kill team velocity, with metrics and solutions for engineering managers.
Turning frustration into productivity by automating repetitive tasks, removing work, and solving problems permanently in software engineering.
A guide for developers on identifying and addressing recurring technical friction in codebases to improve long-term maintainability.