Parallel agent teams use git-based locking and test-driven guidance for complex tasks¶
Insight: Parallel agent teams coordinate through Docker containers with shared git repositories, using file-based locking (writing to current_tasks/) to prevent conflicts. High-quality test design is critical—tests must clearly communicate results without verbose output that pollutes context windows. Using reference implementations (like GCC) enables agents to independently fix bugs in different files rather than all hitting identical blockers. Agents should specialize in complementary roles (code deduplication, performance optimization, documentation).
Detail: Monolithic tasks prove difficult to parallelize; modularity enables independent progress. Agents require rethinking feedback mechanisms—language models have inherent limitations requiring deliberate context and progress tracking design.