Context Engineering for High-Leverage Coding Agents

In this presentation, Dex Horthy explains how advanced context engineering allows developers to solve complex software problems without generating low-quality "slop." He argues that AI agents often fail in large, established codebases because they operate in a "dumb zone" once their context windows become overcrowded with irrelevant data. To counter this, Horthy introduces a workflow called Research, Plan, Implement (RPI), which uses intentional compaction to keep the AI focused on concise, truthful summaries of the code. By utilizing sub-agents and on-demand documentation, teams can maintain mental alignment and ensure that human oversight remains at the center of the development process. Ultimately, the speaker emphasizes that while AI can amplify productivity, it cannot replace critical thinking or the need for rigorous architectural planning.