Most companies are not achieving the speed they expected from AI because of weak engineering foundations, according to an unnamed source. Teams with well-established, enforceable patterns for code str…
A writer argues that the label 'AI slop' tells more about the commenter than the creator, offering little actionable feedback and often reflecting the commenter's own unoriginality. The author advises…
AI can scale creation beyond human review capacity, so the next gap is teaching AI to review against human standards. Full human review caps output at human rates, but allowing AI to review enables tr…
AI changes the economics of software rewrites by favoring codebases with clear, common patterns over proprietary or inconsistent systems, as models produce higher-quality output when they already unde…
Bad AI output reflects the human who accepted and published it, not the AI itself. The content reveals more about the user's judgment than the technology's capabilities.…
A new analogy compares AI to race cars, arguing that the value of AI depends on skilled users, not just the technology itself. The author suggests that companies should invest in experienced people wh…