Learn how to set, measure, and enforce performance budgets for AI-generated frontends. Protect your user experience from bloat with actionable strategies and tools.
Learn how to scale vibe-coded apps from MVP to thousands of users. Discover why AI-generated code fails at scale and how to fix database queries, infrastructure, and testing.
A step-by-step guide to rescuing AI-generated codebases. Learn how to identify technical debt, build safety nets with tests, and refactor safely using static analysis and human oversight.
Learn how to build robust linting and formatting pipelines for vibe-coded projects. Discover tools like Biome and ESLint, implement zero-tolerance policies, and set up CI/CD gates to maintain code quality in AI-generated software.
Learn how to measure success in vibe coding using DORA, SPACE, and DX Core 4 frameworks. Track quality, speed, and business impact to ensure AI-assisted development delivers real value.
Discover how SAST, DAST, and SCA tools must evolve to secure AI-generated code. Learn why traditional scans fail against high-velocity AI deployments and how to implement a layered security strategy.
Learn how to classify apps into prototypes, internal tools, and external products to optimize security budgets. Discover risk-based strategies, common pitfalls, and implementation tips for modern governance.
Learn how to combine the speed of vibe coding with Infrastructure as Code to create repeatable, AI-driven cloud deployments without sacrificing security.