Show HN: Scout-and-Wave – Parallel agent coordination via prompts (github.com)

Scout-and-Wave (SAW) has been introduced as a novel coordination protocol designed to safely parallelize human-guided workflows among AI agents. This protocol establishes clear participant roles and mandatory human review checkpoints that ensure no conflicts arise when multiple agents work on the same codebase. By utilizing a centralized orchestrator, SAW prevents concurrent agents from accessing the same files, addressing the common issues of merge conflicts and inconsistent implementation that typically occur in multi-agent collaborations. The significance of SAW for the AI/ML community lies in its structured approach to parallel execution, striking a balance between efficiency and safety. Each phase, including the analysis of the codebase and the generation of interface contracts, requires human intervention to ensure that all conditions for parallelization are met before agents begin their tasks. Technical components like ownership invariants and verification gates provide further assurance of correctness, effectively mitigating risks associated with autonomous coding. This innovation promises to enhance productivity in software development while minimizing the burden of manual conflict resolution and ensuring that collaborative AI solutions are implemented correctly.