Autonomous Code Agent Patterns

Overview

The code-agent-patterns skill provides a standardized architectural framework for building, maintaining, and scaling autonomous Software Engineering (SWE) agents. It focuses on reliability, precision, and contextual awareness, drawing heavily from industry benchmarks like SWE-Bench and modern LLM-driven development tools.

When To Use

• Implementing autonomous code editing agents.
• Designing specialized agents for bug localization or patch generation.
• Orchestrating multi-agent systems for code review or testing.
• Building tools that need to interface with existing large codebases.

Core Patterns

1. Minimal Context Assembly

Avoid dumping the entire repository into the LLM context. Instead:

• Use dependency graph analysis to identify "impact zones."
• Implement "Breadth-First Context Discovery" (start with high-level symbols, drill down only when necessary).
• Support dynamic file inclusion based on the specific task (e.g., test files, related interfaces).