The Leapter blog

Every other week, someone tries to put what we are building at Leapter into one of two buckets. Either it is a low-code platform with an AI front-end, or it is a vibe coding tool for business logic. Both feel close. Both miss. The reason both labels miss tells you something important about where enterprise AI is actually headed in 2026 and why the categories we have been using to describe "who builds software" no longer cover the work that needs doing. This post is an argumen

This is the compliance gap growing quietly inside most enterprise AI deployments. And as the EU AI Act moves into full enforcement from August 2026, with penalties reaching €35 million or 7% of global annual turnover, it's about to become a very expensive problem.

AI coding agents can generate working software from a few sentences of natural language. Building software got dramatically easier. But the output is still code. And code is still the interface. When AI builds something visual - a UI, a dashboard - you can see the result and iterate. When AI generates business logic - a pricing rule, an eligibility check, a compliance calculation - the only way to verify it is to read the code. AI c hanged who can start building software. It

The EU AI Act is no longer a distant regulatory concern. Yet for many organizations deploying AI agents and automated decision-making tools, there is a critical gap in their compliance strategy: their AI systems are fundamentally non-deterministic.

Agentic AI is having its “big moment.” Every vendor deck has agents. Every roadmap has autonomy. And every leadership team is being asked some version of: “Should we be doing this too?”

When building AI Agents you don’t want an LLM “making its best guess.” You want a deterministic tool the agent can call.