LucidCode makes it confess — in first person — verified by a 3-engine anti-hallucination ensemble. Deterministic AST re-verifier, sandboxed fuzzer, adversarial LLM devil. Every claim anchored, every hallucination rejected.
An AST Surgeon scans for Suppression, Amnesia, Despair, Insomnia, Hoarding, Deafness, Selective_Mutism, and more. Deterministic. Line-anchored. Zero LLM in this step.
An LLM voices each trauma as the code itself: "I confessed at line 6: I called out without a clock. I hang forever if the server stalls."
A deterministic AST re-verifier (0.90 trust), a sandboxed fuzzer (0.70), and a diversified LLM devil (0.40) vote in parallel. Bayesian aggregation produces a calibrated verdict. Hallucinations are logged and never shown.
| LucidCode | Semgrep | Copilot | CriticGPT | |
|---|---|---|---|---|
| Approach | Confession + ensemble | Static rule match | Autocomplete | Self-critique |
| Anti-hallucination | Diverse 3-engine | n/a | n/a | Single LLM |
| Output style | First-person confession | Rule ID + line | Code suggestion | Chat critique |
| Runs offline | Yes (subprocess mode) | Partial | No | No |
LucidCode and Laundry are available by direct engagement. Every deployment is scoped to your codebase, your security posture, and your team's review flow.