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With Cursor, Lovable, Bolt or Claude Code, a working application takes days. Whether it survives a customer's security review, an investor's due diligence or the first real users is another question. That is what hardenmyapp.com is for: senior engineers from dekkode audit, harden and stabilise AI-generated apps without rebuilding them.
David Gorges, Managing Director
AI tools produce prototypes that look like finished products astonishingly fast. Underneath, what keeps a product running is usually missing: API keys sit in the frontend, there are no tests and no database backups, the login has holes, and nobody notices when something fails at night. Those five points are the first things we check.
We only rebuild when there is no economic alternative. The code stays yours; we close the gaps.
It starts with the Health Check at a fixed price of €1,900: tell us your stack and give us read access. A few days later you have a risk-scored report and a prioritised roadmap. Whether you go further is your call.
Three stages build on that. The Hardening Sprint (one to two weeks, €9,000 to €15,000) fixes the critical security and reliability issues. Production-Ready (three to six weeks, €30,000 to €55,000) is the full treatment: CI/CD, staging, monitoring, backups, performance, documentation and handover. Managed, from €3,900 a month, covers ongoing reviews, updates and on-call support.
Solo builders who want to know whether their app will still run tomorrow. Founders facing technical due diligence. Companies whose customer demands a security review. Agencies that have to deliver AI-built projects at production grade. And teams whose application buckles under load.
Behind hardenmyapp.com are dekkode's senior engineers, not scanners. Made in Hamburg, GDPR included.
On 26 and 27 November the Symfony community meets in Warsaw, and five of us are going: Vira, Liubov, Björn, Dmitry Dubinets and David. Three tracks run in parallel, so we split up. Here are the talks we've picked and why.
Mistral released Large 4 as a public preview today. It is a 1.05-trillion-parameter Mixture-of-Experts model with 49B active parameters, text and vision input and a one-million-token context window. Mistral trained it from scratch on 3,800 Nvidia Grace Blackwell GPUs in its own European datacenters and runs it there, end to end, under European law. The weights are due as open weights by the end of October.
It doesn't quite match the leading US models, but if you need your data and your provider to stay in Europe, it is the first serious option at this size.
At DevDay on 29 September 2026, OpenAI announced more than 20 new features across ChatGPT, Codex and the API. The common thread: agents that no longer just answer a question but take on ongoing work, operate computers and react to events in other applications – and, if you want, run entirely inside AWS.
