With respect to Rust, working with agents and seeing how the agents make decisions/diffs has actually helped me break out of the intermediate Rust slog and taught me a lot about the ecosystem by taking on more ambitious projects that required me to research and identify effective tools for modern Rust development. Even though I have technically released Rust packages with many stars on GitHub, I have no intention of putting Rust as a professional skill on my LinkedIn or my résumé. As an aside, how exactly do résumés work in an agentic coding world? Would “wrote many open-source libraries through the use of agentic LLMs which increased the throughput of popular data science/machine learning algorithms by an order of magnitude” be disqualifying to a prospective employer as they may think I’m cheating and faking my expertise?
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Future smoke alarms might use very different tech. Researchers have developed an AI-based system that uses machine learning to detect fire in video feeds. The tool can spot fire and smoke in footage from "any camera", says Prabodh Panindre at New York University – including CCTV, doorbell cameras and phone cameras.
// Sync — when all components are synchronous