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Vibe coding has made it possible to go from idea to working app ridiculously fast. ⚡🤖 But speed can create a dangerous illusion: just because the app works doesn’t mean the app is secure. AI coding tools can scaffold interfaces, APIs, databases, authentication and entire workflows in minutes. The problem is that security controls are easy to miss, especially when you’re focused on getting the product live. 🔐 One of the biggest mistakes is exposing API keys or other secrets inside frontend code. If a secret reaches the browser, assume someone can find it. Keep sensitive credentials server-side, use environment variables or a proper secrets manager, and never treat client-side code as private. 🔑 Then there’s rate limiting. An endpoint that accepts unlimited requests can become an easy target for bots, abuse or accidental runaway usage. That can mean slow performance, service disruption and a very unpleasant cloud bill. 💸 Adding sensible per-user or per-IP limits, quotas and abuse detection can make a huge difference. Database permissions matter just as much. If you’re using tools such as Supabase or another Postgres-backed platform, Row-Level Security and access policies need to be designed deliberately. 🗄️ A logged-in user should only be able to access the records they’re actually authorised to see. Never assume authentication alone protects the data underneath. Authentication logic is another area where fast builds can go wrong. 🚨 Hiding an admin page from the navigation is not security. Sensitive routes and actions need server-side permission checks, proper session validation and role-based access controls. If the server doesn’t verify the user is authorised, the frontend cannot save you. And finally, don’t ship straight from “it works” to production. 🧪 Run dependency scans, test your authentication flows, validate user input, review permissions, check your secrets, enable logging and monitoring, and make sure you have a rollback plan before real users arrive. The goal isn’t to stop using AI to build software. It’s the opposite. AI can massively accelerate development when it’s paired with proper engineering discipline. 🚀 The better mindset is: use AI for speed, then deliberately add the controls that make that speed safe. Before launching your next AI-built app, ask yourself: are the secrets protected, are requests controlled, is the database locked down, is authorisation enforced, and has anyone actually reviewed the security? 🛡️ Building fast is impressive. Building something fast that users can actually trust is better. Save this checklist before your next launch and send it to someone currently building with AI. 👨‍💻🔒 #TechSerks #VibeCoding #CyberSecurity #AICoding #AppSecurity
Vibe coding has made it possible to go from idea to working app ridiculously fast. ⚡🤖 But speed can create a dangerous illusion: just because the app works doesn’t mean the app is secure. AI coding tools can scaffold interfaces, APIs, databases, authentication and entire workflows in minutes. The problem is that security controls are easy to miss, especially when you’re focused on getting the product live. 🔐 One of the biggest mistakes is exposing API keys or other secrets inside frontend code. If a secret reaches the browser, assume someone can find it. Keep sensitive credentials server-side, use environment variables or a proper secrets manager, and never treat client-side code as private. 🔑 Then there’s rate limiting. An endpoint that accepts unlimited requests can become an easy target for bots, abuse or accidental runaway usage. That can mean slow performance, service disruption and a very unpleasant cloud bill. 💸 Adding sensible per-user or per-IP limits, quotas and abuse detection can make a huge difference. Database permissions matter just as much. If you’re using tools such as Supabase or another Postgres-backed platform, Row-Level Security and access policies need to be designed deliberately. 🗄️ A logged-in user should only be able to access the records they’re actually authorised to see. Never assume authentication alone protects the data underneath. Authentication logic is another area where fast builds can go wrong. 🚨 Hiding an admin page from the navigation is not security. Sensitive routes and actions need server-side permission checks, proper session validation and role-based access controls. If the server doesn’t verify the user is authorised, the frontend cannot save you. And finally, don’t ship straight from “it works” to production. 🧪 Run dependency scans, test your authentication flows, validate user input, review permissions, check your secrets, enable logging and monitoring, and make sure you have a rollback plan before real users arrive. The goal isn’t to stop using AI to build software. It’s the opposite. AI can massively accelerate development when it’s paired with proper engineering discipline. 🚀 The better mindset is: use AI for speed, then deliberately add the controls that make that speed safe. Before launching your next AI-built app, ask yourself: are the secrets protected, are requests controlled, is the database locked down, is authorisation enforced, and has anyone actually reviewed the security? 🛡️ Building fast is impressive. Building something fast that users can actually trust is better. Save this checklist before your next launch and send it to someone currently building with AI. 👨‍💻🔒 #TechSerks #VibeCoding #CyberSecurity #AICoding #AppSecurity

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