You used AI tools to build your product fast. It works — mostly. But beneath the surface lie hidden API vulnerabilities, cascading prompt failures, and race conditions that will break under real user load. KodBerry finds the flaws in your AI infrastructure and rebuilds them for production-grade scale.
We audit applications generated with Lovable, Replit, Bolt.new, v0, Cursor and Claude Code, running on Supabase, Firebase, Next.js, Vercel and the OpenAI and Anthropic APIs. The issues we find most: Supabase Row Level Security left disabled, service-role and provider API keys bundled into the client, API routes with no authentication check, prompt injection through unescaped user input, uncached embeddings and missing rate limits driving runaway LLM costs, and personal data sent to model providers without a data processing agreement.
A four-day technical inspection of your code, data flows and LLM orchestration layer, delivering a prioritised report of vulnerabilities with an actionable fix blueprint.
A two-to-four week engagement that refactors fragile code paths, secures API environments, builds regression testing pipelines and optimises token usage.
KodBerry Solutions AB, Stockholm, Sweden — hello@kodberry.com