Stop correcting AI code. Build the system agents need.

At PlatformCon London, Patrick Debois said AI is shifting software development toward a “context development lifecycle.”

Instead of only fixing generated code, engineers should improve shared context, systems, and workflows so AI agents can work well.

The required context can come from codebases, docs, Slack, compliance rules, and architecture records.

The shift points to team- and platform-level changes that could reshape engineering workflows and AI adoption.