Signals

A deep dive into how Claude Code achieves superior performance through sophisticated prompt engineering and system design patterns.

Why checklists are underutilized across industries despite their proven effectiveness in high-stakes environments like aviation and military operations.

Stanford research examines whether AI tools are replacing or augmenting software developers, with mixed evidence on productivity claims.

The future of AI-assisted programming depends less on replacing developers and more on effective human-AI collaboration and understanding when to trust these tools.

Ruby on Rails creator shares how 37signals built a profitable tech company through small teams, async work, and rejecting venture capital.

Analysis of why AI coding tools haven't produced the expected flood of low-quality software despite productivity claims.

Senior developers share candid experiences with AI coding assistants, revealing both productivity gains and significant limitations.

A claimed MIT study on AI's cognitive effects sparks debate about whether AI tools represent genuine abstraction or create dependency that undermines deep learning.

Exploring different approaches to modeling polymorphic data in relational databases, from single table inheritance to JSON blobs and beyond.

Enthusiastic article about letting Claude Code run wild on a VPS triggers discussion about whether AI coding creates new economic barriers for beginners.