Signals

A technical discussion on the challenges of PDF parsing and why computer vision approaches often work better than traditional metadata-based methods.

A technical discussion examining the trade-offs between strict and lenient interface standards, from HTML's evolution to modern API design patterns.

A discussion analyzing Claude Code's capabilities and comparing it to other AI coding tools like Cursor and Copilot.

A deep dive into the ongoing discussion about whether large language models truly understand the world or simply excel at pattern recognition.

A new KBQA dataset and agent that tackles complex real-world questions using dynamic SPARQL exploration and reasoning over large knowledge bases.

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.

Federal Reserve research shows AI hasn't significantly disrupted overall employment, though specific sectors see targeted job displacement.