Switching Copilot code review to the Copilot CLI’s grep, glob, and view tools initially raised review time and missed bugs. Rewriting the agent prompts to match how humans read pull requests flipped the regression, delivering about a 20% lower average review cost with unchanged quality. The fix shows tool upgrades alone aren’t enough, workflow design matters.
After 900,000 lines of product code were generated almost entirely by Claude Code, the founder found that small changes required massive prompts and often broke other parts. The experiment proved AI assistants still need human architectural oversight and that token limits and context drift remain hard constraints.
Cursor’s two‑year usage report reveals its top 1% of users churn out 30‑40K lines of code weekly, ten times the median. Meanwhile 90% of AI token consumption is spent on reading existing code, making input tokens the dominant cost. The findings highlight how elite developers leverage AI and why token‑efficiency matters.
OpenAI’s GPT‑5.6 family is now generally available in three tiers, Luna ($1/$6), Terra ($2.50/$15) and Sol ($5/$30) per million tokens, with a million‑token context window. Benchmarks show Sol beating Claude Fable 5 on long‑running agentic tasks while costing a quarter as much, and the API adds programmatic tool calling, multi‑agent support, and explicit prompt‑cache breakpoints.
In a live test, the frontier models Fable 5 and Opus 4.8 were tasked with rebuilding a company website to boost conversion rates. Both produced functional sites but delivered zero improvement, because they omitted basic tracking and SEO hooks. The result warns that cutting‑edge LLMs still miss core business outcomes.