LUCID — Product Hunt Listing
Formal verification for AI-generated code
LUCID — Product Hunt Listing launched on February 12, 2026 with 1 votes.
What it does
LUCID verifies AI-generated code using formal methods, not another LLM review. It extracts testable claims, checks them against specs, and produces fix plans. Reverse mode creates specifications before code generation to prevent hallucinations. Spec → Constrain → Generate → Verify 100% pass rate on HumanEval +65% improvement on SWE-bench (300 real GitHub bugs) 21 critical bugs found in 4 production apps Free tier available. Patent pending.
Assay extracts the claims your AI-built app makes, verifies each against the code, and triages every failure: real defect, spec drift, or honestly uncertain. Included with every Seatrial plan.
Assay extracts the claims your app makes, verifies each one against the code, then triages every failure. A real defect gets a fix your coding agent can apply. Spec drift means the code is right and the spec is stale — leave the code alone. And when it can’t tell, it says so instead of guessing. A blind auto-fixer ships a security regression here. Assay tells your agent to stand down. An LLM reads the code and surfaces its implicit claims — “this function handles null input,” “this API returns sorted results.” That takes semantic understanding no regex or AST parser has. This is the neural layer. A deterministic oracle tests each claim — for code, real test execution in an isolated…from seatrial.io
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