GoKawiilBasis uses AI agents to verify compilers and kernels, targets language semantics gap
Basis reports that AI agents have been used to produce mathematically verified software, including a Linux nftables compiler and, separately by MIT researchers, the xv6 operating-system kernel down to machine code. The company says LLMs are improving fast at theorem proving but that most programming languages still lack a formal semantics, limiting how broadly such verification can be applied.
GoKawiil's interpretation of the reporting above, not reported fact.
As AI tools make it easier for attackers to find and exploit software bugs, Basis's work suggests formal verification could become a practical defense rather than a niche academic exercise. The company frames the lack of formal semantics for common languages as the next bottleneck, implying that solving it could be key to scaling verification across the software stack that runs critical infrastructure.
- AI agents have verified a Linux nftables compiler and, separately, MIT's xv6 kernel down to machine code.
- Formal semantics exist for only a few languages (Standard ML, WebAssembly, C via CompCert) and RISC-V, each requiring years of expert work.
- Basis argues the main challenge is shifting from automated proving to defining precise specifications for software behavior.
Source: basis.ai, 2026-10-20
Published there as: “Ship Your Interpreter”
Read the original report → The summary and analysis above are GoKawiil's own, written from reporting by the source above. Facts and quotes belong to the original publisher.