AI coding invades Google and governments: Python paradise turns to silent bug hell, Rust devs finally vindicated

In 2026, the software industry is witnessing a significant shift with the widespread adoption of AI-assisted coding, used by companies like Google, NVIDIA, and financial institutions. However, this shift introduces a new category of risk, primarily driven by insufficient human oversight and a weakening understanding of the code being shipped. Security expert David Mytton and others argue that AI-generated code can embed assumptions, edge cases, or security weaknesses that have not been examined. Programming language choice can mitigate this risk, with languages like Rust and Swift enforcing stronger type systems and safer defaults. Rust, in particular, is considered a risk-averse option, with its strict compiler enforcing invariants around memory safety and concurrency. The use of AI-assisted coding is viable only where constraints are strong, and human review and domain expertise are still essential to ensure the reliability and security of the systems being developed.