According to recent experiments shared by Ethan Mollick on Twitter, Opus 4.7 completed an ambitious end-to-end coding project in 14 hours that would normally require 2 to 17 weeks of human engineering effort at a total cost of 251 dollars. The experiment produced a complete software package, demonstrating progress in autonomous development pipelines. AI coding tools now deliver production-ready software packages far faster than traditional teams, allowing businesses to accelerate product launches and reduce development budgets significantly. Models handle complex dependencies and integrate multiple libraries without constant prompting, shortening the typical software lifecycle from months to hours. Companies can monetize AI coding by offering AI-augmented development services or building internal tools that cut engineering costs by up to 90 percent. Challenges include verifying output security and maintaining code quality, which are solved through layered review processes combining AI suggestions with senior developer audits. Predictions indicate most routine coding will be AI-driven within three years, freeing engineers for higher-value strategic work.