by simon-willison
AI tools create compulsive task-stacking rather than reducing workload — employees run manual and AI-generated work in parallel, producing exhausting intensity that organizations mistake for productivity.
by simon-willison, wilson-lin
A single engineer armed with 2,000 concurrent AI agents can produce over a million lines of Rust code in a week—FastRender proves linear scaling of coding agents is possible through hierarchical planning and emergent coordination.
by simon-willison
Claude Cowork repackages Claude Code's powerful agentic capabilities for general audiences through accessible design rather than technical innovation—a pragmatic approach to unlock untapped value.
by simon-willison
Reasoning models have made LLM-generated code undeniably good, and 2026 will bring both a major security incident from coding agents and the resolution of the sandboxing problem.
by simon-willison
Simon Willison's comprehensive year-in-review analyzing how reasoning models, autonomous agents, and Chinese AI competition fundamentally reshaped the landscape in 2025.
by simon-willison
Effective LLM-assisted programming demands deliberate skills—context management, authoritarian specifications, and rigorous testing—that amplify expertise rather than replace it.