想用AI自动化家里那些难搞的设备？编码代理让逆向工程成本直线下降，试错和重写都不心疼了。
Simon Willison指出，基于AI的编码代理（coding agents）大幅降低了逆向工程家庭设备所需的工作量。过去，程序员需要投入大量精力去破解设备API，且面临未来接口变更的维护风险。现在，尝试和失败的代价显著下降，即使代码失效，重写的心理负担也小很多。这种变化让过去不值得投入的自动化场景变得可行。
Reverse-engineering is cheap now
I keep hearing anecdotes from people who used coding agents to reverse-engineer and automate devices in their homes. I think this is an interesting illustration of the impact of the reduced cost of writing code. Prior to agents, it was entirely possible to reverse-engineer home devices. The problem was the ROI - was it really worth all of that effort? More importantly, any experienced programmer knows that undocumented, unstable APIs like that may well change or break in the future. Is that initial work worth the effort if you're committing yourself to a frustrating cycle of maintenance in the future? Coding agents change that equation entirely. The effort to get a simple automation working has dropped, as has the cost of trying and failing to get it to work. Since the code is so cheap, the idea of having to maintain it in the future - or throw it away and start again - carries way less psychological baggage. Tags: reverse-engineering , coding-agents , ai-assisted-programming , generative-ai , ai , llms