Tips, strategies and insights about software development, AI, machine learning and much more to boost your business.
It was not AI that made development cheaper — it was AI-Native Architecture. A system designed for autonomous agents allows a small team to deliver what previously required 10 engineers over 6 months. Understand the mechanism.
The ERP proposal shows the license. The real cost includes implementation, maintenance, factory customizations, process adaptation, and lock-in. We open the account the vendor will never show you.
Most companies stay on SaaS by inertia — not because it is the best decision. These 5 signs indicate the equation has already flipped and a custom system would deliver more value for the same cost.
The SaaS replacement market has grown with AI expansion. But not every AI-powered development delivers what it promises. See what to evaluate before hiring and why AI-Native Architecture is the most important criterion.
A São Paulo fintech had 50 engineers. They adopted GitHub Copilot, Cursor, and Claude. Cycle time dropped from 3 weeks to 2.5 weeks. Then they redesigned the architecture following the 6 AI-Native principles. Result: 5 engineers, 3 days. Here is what changed.
A fintech in São Paulo had 50 engineers and a 3-week cycle time. They applied the principles of AI-Native Architecture internally. Result: 5 engineers, 3-day cycle time, 71% lower cost. The fintech didn't hire us — this is the case that validated the model we apply today.
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