Anthropic spent $20,000 (Claude Opus 4.6) to direct an Agent team to build a Rust compiler capable of compiling the Linux kernel. This marks a breakthrough in AI programming, moving beyond being just an auxiliary tool to having the ability to replace senior teams in building complex systems at an extremely low cost. If a human team were to implement such a project from scratch, the timeline would typically be measured in years. This experiment directly establishes a new benchmark for Coding Agents in handling highly complex and tightly coupled tasks. However, this engineering marvel is not solely reliant on the model's programming capabilities. The key lies in wrapping the act of "writing code" within a rigorous automated testing and CI/CD framework. To ensure the system operates effectively, the experiment introduced GCC as an "Oracle," using standard output comparisons to pinpoint errors, transforming open-ended creative challenges into closed-loop verification tasks. Complementing this external validation, the choice of Rust provided internal constraints. Its strict type system intercepts errors during the compilation phase, compensating for the instability of model-generated code. It is precisely this dual guarantee of "external comparison + internal constraints" that enables LLMs to leverage the vast compiler knowledge absorbed during pre-training, standing on the shoulders of collective human wisdom to complete reconstruction. This not only showcases capability but also reveals an irreversible shift in the cost structure of software engineering: the marginal cost of implementation details is approaching zero. As generating code becomes so cheap and abundant, our focus on code will inevitably shift from "logical elegance" to "verification completeness." In the future, software deliverables may no longer be the lines of code that humans struggle to maintain, but rather the Prompt strategies driving everything and the test sets defining boundaries. Perhaps one day, the unit for measuring software development effort will no longer be the traditional "man-month," but instead "Token consumption" and "Prompt complexity." More insights https://newshacker.me/story?id=46903616