Four converging forces make this the right moment. The verification crisis is here — and so is the solution.
Not just "more code" — code nobody trusts. AI adoption is surging while confidence collapses.
AI tools cut time-to-PR by 58% but did not cut time-to-review. The bottleneck has shifted from writing code to trusting it. This gap will only widen as AI generates 65%+ of committed code by 2027.
TypeScript is the #1 language for developer tooling. Zero AG infrastructure exists. This is greenfield.
Every modern developer tool is built in or around TypeScript. The verification layer — tree computation and formal property checking — doesn't exist yet. There is no incumbent to displace.
This is no longer theoretical. The evidence is in — formal verification works at scale, right now, in production.
Tao's equational theories project: 22 million implications, 99.9963% verified in 19 days. Formal verification working at scale in another field — right now.
The compiler proves memory safety — no garbage collector, no runtime overhead. Adopted by Linux kernel, Android, Windows. Formal verification going mainstream in software.
Fully formally verified OS kernel. Zero exploitable bugs found. Used in military and aerospace. Proof that formal verification produces reliable systems.
The question isn't "will formal methods come to mainstream software?" — it's "who builds the infrastructure?"
The missing piece that makes formal methods scalable for everyday software.
Always existed in theory, now practical. Tree computation, attribute grammars, formal property specification — deterministic, fast, composable.
Newly possible. AI agents generate candidate annotations — type contracts, invariants, pre/post conditions. The NP-hard creative search.
Together: formal verification for all software, not just life-critical systems
AI agents can now do the NP-hard part — generating candidate annotations. The framework does the P-easy part — verifying them. Each proven property enables inferring more. This creates a flywheel that didn't exist before AI agents.
"Any one of these creates opportunity. Together they create inevitability."
Each emerged when the need became acute and the technology became practical.
Each of these standards emerged when the need became acute and the technology became practical. Both conditions are now met for formal property verification.
AI code volume will reach 65% by 2027. Someone will build verification infrastructure — either a rigorous solution (formal methods) or a "good enough" approximation (better linters, AI code review). Moving now means setting the standard rather than competing with an entrenched alternative.