Case Studies
Real audits. Clear outcomes.
These are working sessions on real products: what we looked at, what surfaced, and what changed afterward.
Claude Code vs Cursor: both miss the same gaps.
Two real projects, two IDEs, same result. Claude Code missed 13 gaps on an AI Email Drafter. Cursor missed 22 on a PR Description Drafter. MegaLens caught them both. The IDE doesn't matter. Single-model review has a ceiling.
2 projects · 2 IDEs · 35+ gaps found · comparison table · public repos
15 gaps caught before writing a single line of code.
Claude Code wrote the plan and the code for an AI Email Drafter. MegaLens reviewed the plan before implementation and each commit during the build. 13 of 15 findings were additions beyond our own pre-audit. Full repo and build video included.
Plan audit + 12 per-commit reviews · 15 findings · public repo · live build video
We audited our own legal setup and found 9 risks in 5 minutes.
Before drafting a privacy policy, we audited our own product architecture. Three specialists and two judges surfaced critical gaps in GDPR readiness, cross-border transfers, and Chinese provider disclosure for $0.21.
Standard tier · 3 specialists + 2 judges · 4m 55s · $0.21
You can't trust a single AI to audit your code.
We ran the same production codebase through 9 engines in 4 configurations, then verified every finding against source. The strongest individual model still missed a SQL injection and a four-bug exploit chain.
4 configurations · 9 unique engines · all findings verified · $0.64 total
Passing tests didn't mean it was safe to ship.
74 files, 10 end-to-end tests, all passing. Independent review still found 14 more issues: concurrency bugs, silent failures, and credential exposure risks. Half required a second reviewer to surface.
2 independent reviewers · 17 total issues · 14 fixed same session · under $0.10
The SSRF fix that passed its tests and was still unsafe to ship.
A production SaaS had 7 security findings to patch in one session. The first-pass fixes compiled and tested. Independent review then caught two bugs hiding inside the patches themselves.
2 reviewers · 2 review rounds · 4 files · 14 tunnel-aware test cases · same-day deploy
Our audit pipeline reviewed its own expansion — from inside the editor.
We wired MegaLens into the IDE and ran the first end-to-end test on a real task: our own expansion. It caught 3 of 4 structural risks before code existed. The judge tier then caught 5 more that the front-line reviewers missed, including the one real high-severity defect.
~50k host tokens saved · 3 of 4 risks caught pre-code · 49/49 regression · $0.21