Formal Verification Gates for AI Coding Loops
The article discusses the challenges of ensuring software security in AI-generated code. It introduces Shen-Backpressure, a methodology designed to enforce structural gates that improve code reliability. By using a statically-typed language, the approach aims to reduce reliance on behavioral gates that depend on human memory and model accuracy.
- ▪Broken access control is a leading category of software bugs.
- ▪Shen-Backpressure aims to provide a more reliable method for enforcing code invariants.
- ▪The methodology uses a small, statically-typed Lisp to express rules that can be checked by machines.
Opening excerpt (first ~120 words) tap to expand
> series: shen-backpressure /0 Structural Backpressure Beats Smarter Agents Formal verification gates for AI coding loops, in the language you're already shipping. April 20, 2026 Some of the most serious software bugs are also the most boring. A user should not be able to read another tenant’s data. Nobody disagrees with this, nobody stands up in a design review to defend Alice reading Bob’s records, and yet broken access control remains the #1 category on the OWASP Top 10. These bugs ship because the rule has been placed in the wrong part of the system. It lives in a prompt, in a review checklist, in the shared expectation that every future engineer, and now every future model invocation, will remember the invariant and reapply it correctly.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Reubenbrooks.
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