Kod med AI (6): Why your agent loops and software factories eventually fail

Agent loops, coding harnesses and software factories work well on a clean demo repo, then start failing once the codebase carries years of features, fixes and unwritten business rules that no model can hold in context. This webinar goes through six failure modes in teams using AI coding agents, why a stronger model doesn't fix them, and what changes when the agent's memory is built from the code itself, so it is structured, deterministic and can be checked. A 10-minute live demo on a real repository shows code-quality hotspots, test-coverage gaps and recorded design decisions, and the session closes with habits that keep engineers in charge as agents take on more of the work.

The speaker is Lishuai Jing, PhD, co-founder of Memtrace.

The webinar is hosted by Simon Amtoft Pedersen, Chairman of IDA AI.

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