The 5-Minute Pre-Launch Checklist for AI-Generated Apps
Dev.to / 6/11/2026
💬 OpinionDeveloper Stack & InfrastructureTools & Practical UsageIndustry & Market Moves
Key Points
- The article argues that AI-generated apps need a specialized pre-launch checklist because AI tools may optimize for “works locally” while introducing security and compliance risks that still ship to production.
- It recommends checking for leaked secrets (such as API keys embedded in code) by scanning pasted code or .env files before committing, using LeakCheck.
- It highlights common production exposure risks, including publicly reachable .env.git folders, secrets in JavaScript bundles, or exposed source maps, and suggests verifying live sites with ExposureCheck.
- It advises auditing dependencies for vulnerabilities, abandonment, typosquatting, and risky licenses, setting missing security headers via HardenCheck, and testing accessibility/privacy safety and legal requirements (privacy policy and consent banner) using ShipSafe and ComplyKit.
- The piece cautions that the scanners are heuristic first-pass tools, not a full security audit or legal advice, so teams should expect false positives and incomplete coverage.
Continue reading this article on the original site.
Read original →Related Articles

Black Hat USA
AI Business
langchain-core==1.4.5
LangChain Releases
When is your SaaS feature actually high-risk under the EU AI Act? The Annex III decision tree.
Dev.to
API Spend Caps, React DoS Patch, and Deno 2.6/2.8: What Senior Engineers Need to Act On This Week
Dev.to
HomeVision Studio — AI Interior Redesign for Any Room
Dev.to