Not every MVP should become a product. We've helped founders kill projects — and that's often the most valuable outcome. Here are the signals we've learned to watch for.
The typical startup journey: solo founder → agency → first hire → in-house team. Here's how to know when to make each transition — and how to not lose 3 months in the handoff.
Most agency projects end with a code dump and 'good luck.' We publish our actual handoff process — ADRs, walkthrough recordings, living documentation — so your team doesn't lose 3 months.
Your AI chatbot processes personal data every time a user sends a message. Here's how to build LLM features that satisfy GDPR, the EU AI Act, and your legal team.
'AI-powered platform' = OpenAI API wrapper. 'Scalable microservices' = single Django app. 'Proprietary algorithm' = SQL query. Here's why that's completely fine.
Most startups adopt Salesforce too early or too late. Here's when it actually makes sense, what to automate first, and whether you should use Flows, Apex, or third-party tools.
The German Startup Monitor 2025 says 29% would leave. Funding dropped 24%. Zero unicorn IPOs since 2022. But here's why we're still building in Germany — and how we engineer around the friction.
July 2026 update: the Digital Omnibus pushed high-risk obligations to December 2027 — but transparency duties and market surveillance start as planned in August 2026. What your engineering team needs to build and when, in code instead of legalese.
We deploy client projects on both Vercel and Hetzner. Here's a real cost comparison — with actual numbers from production workloads — and a framework for choosing between them.
Only 4% of global cloud capacity is European-owned. The US CLOUD Act undermines data sovereignty. Here's our complete production stack built entirely on European providers.
RAG and fine-tuning solve different problems. RAG gives the model new knowledge. Fine-tuning changes how the model behaves. Here's a practical guide to choosing — and when to combine both.
A 2025 CNCF survey shows 42% of teams regret microservices. Amazon Prime Video cut costs 90% by going back to a monolith. Here's why we build modular monoliths — and how.
A practical engineering guide to adding AI features to products already in production. Model selection, architecture patterns, cost management, and the RAG vs. fine-tuning decision.
Standard advice says pay down all technical debt. We disagree. After dozens of MVPs, here's our taxonomy: debt you keep, debt you must fix, and debt that doesn't matter.
We've built 30+ MVPs. Simple ones start at €25,000. AI-powered SaaS products go up to €120,000. Here's exactly where the money goes — with real numbers from our projects.
92% of developers use AI coding tools. But 45% of AI-generated code fails security tests. Here's our actual workflow for shipping AI-assisted code without shipping vulnerabilities.
Building an MVP isn't about cutting corners — it's about cutting scope. Here's our exact process from first call to production deploy, week by week.
A TypeScript toolkit for building AI-powered apps and agents
A lightweight, container-isolated personal AI assistant in 500 lines
Build beautiful, responsive emails with React components
The all-in-one JavaScript runtime that keeps getting faster
A complete rewrite with a new engine and zero-config setup
A blazing-fast, multiplayer code editor built in Rust
LLMs are everywhere. We use them daily — for code generation, reviews, and documentation. Here's what actually works, what doesn't, and where human judgment is still non-negotiable.
After years of building on Firebase, we switched to PostgreSQL. Here's why typed schemas, static analysis, and real relational data won — and why we're never looking back.
DRIVTO 2.0 is live. How we rebuilt the leading marketplace for curated driving events — from track days to heritage rallies — with Next.js, TypeScript, and a focus on community.
