Building the harness around our coding agents. Eight failure modes and pillars (nimbalyst.com)

A new framework called the "team harness" has been developed to enhance the efficiency of AI coding agents, following the experience of building the product Nimbalyst. This harness serves as a structured system surrounding AI agents, integrating context, tools, permissions, and verification processes, which enables agents to work effectively within a project’s parameters. It addresses common challenges faced by AI agents, such as understanding the codebase, maintaining the lineage of changes, and ensuring safety in actions through a careful balance of capabilities and restraints. The team harness is built upon eight foundational pillars that tackle various failure modes of coding agents. These include providing contextual knowledge about the project (Context), ensuring traceability of code changes (Provenance), enabling safe actions and observations (Capability), standardizing workflows (Workflow), incorporating safeguards against unsafe actions (Restraint), establishing mechanisms for verification of outcomes (Verification), and enhancing visual representations of work (Visual Interface). By linking existing tools and methodologies and emphasizing teamwork within the workspace, the harness not only integrates the AI's functionality but also empowers human collaborators to follow and review the work more effectively.