This isn't "SAST bad, us good." Established SAST tools are excellent at what they were designed for. The point is that the design target matters: a tool built for a security team embedded in a large codebase makes different trade-offs than a tool built for a founder trying to answer one question — "is this safe enough to launch?"
What traditional SAST optimizes for
Classic SAST analyzes source code for known vulnerability patterns: injection, unsafe deserialization, vulnerable dependencies, and a long catalog of CWE categories. It's built to plug into a mature pipeline and to be tuned by people who can read its output.
- Broad language and framework coverage across large, established codebases.
- Deep CWE/vulnerability catalogs and dependency (SCA) scanning.
- Designed for security engineers who triage, suppress and tune findings.
- Often priced and scoped per developer/seat for ongoing team use.
The friction for an indie founder is real: SAST tools tend to produce long lists of findings with severity labels but little business context, assume you know which to ignore, and say little about the non-code parts of a launch (missing rate limits, Supabase RLS posture, webhook verification, robots.txt, error states).
What launch-readiness scanning optimizes for
Launch-readiness scanning asks a narrower, founder-shaped question. Instead of "list every static issue," it asks "what would block or embarrass this specific launch, and how do I fix it?" It is tuned for the patterns AI coding tools actually ship and translates findings into launch impact.
- Tuned for vibe-coded patterns: client-side auth, missing RLS, exposed keys, IDOR, missing rate limits, unverified webhooks.
- Findings ranked by launch impact and explained in founder-readable language with fixes.
- Covers operational launch basics beyond code: SEO, error states, broken links.
- Built to run once before launch, not to be tuned by a security team.
Side by side
| Dimension | Traditional SAST | Launch-readiness scanning |
|---|---|---|
| Primary user | Security engineer / team | Solo founder / small team |
| Core question | What static issues exist? | Is this safe to launch, and how do I fix it? |
| Tuned for | Large, general codebases | Vibe-coded SaaS (Lovable, Bolt, v0, Supabase) |
| Output | Severity-labeled findings list | Launch-impact ranked, founder-readable fixes |
| Scope | Code + dependencies | Code + RLS, payments, rate limits, SEO basics |
| When you run it | Continuously in CI | Before launch (plus optional CI) |
See what a launch-readiness review flags in your repo, ranked by what actually blocks launch.
See the launch readiness checklistWhich should you use?
Use the tool that matches your situation. If you have a security team, a large codebase and a mature pipeline, traditional SAST and SCA belong in your CI. If you're a founder trying to ship a vibe-coded SaaS without leaking customer data or running up a surprise AI bill, a launch-readiness review gets you to a safe launch faster and with less to interpret.
- Pre-launch solo founder: start with a launch-readiness scan; fix the blockers it ranks first.
- Growing team: add dependency scanning and a SAST tool in CI alongside launch-readiness checks.
- Regulated or high-stakes launch: pair either approach with a human security review.
The honest summary: SAST answers "what static issues exist in this code?" Launch-readiness scanning answers "is this safe to put in front of users, and what do I fix first?" For most indie launches, the second question is the one keeping you up at night.
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