Michal Cichra

BDD and ADRs Give AI Coding Agents Enforceable Project Memory

Michal Cichra of Safe Intelligence argues that AI-assisted development does not fail for lack of prompts so much as for lack of enforceable memory. In his talk, he makes the case for keeping ADRs, PRDs, BDD scenarios and design-system rules close to the code, so product intent and architectural decisions can be found by humans, retrieved by agents and enforced by Git hooks and CI. His most specific claim is that Cucumber-style executable specifications have become useful again because they connect human-readable product behavior to tests that prove the software still does what the spec says.